Add files using upload-large-folder tool
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- .gitattributes +2 -0
- README.md +55 -0
- added_tokens.json +24 -0
- checkpoint-100/added_tokens.json +24 -0
- checkpoint-100/config.json +37 -0
- checkpoint-100/merges.txt +0 -0
- checkpoint-100/model-00001-of-00002.safetensors +3 -0
- checkpoint-100/model-00002-of-00002.safetensors +3 -0
- checkpoint-100/model.safetensors.index.json +346 -0
- checkpoint-100/special_tokens_map.json +31 -0
- checkpoint-100/tokenizer.json +3 -0
- checkpoint-100/tokenizer_config.json +208 -0
- checkpoint-100/trainer_state.json +1333 -0
- checkpoint-100/training_args.bin +3 -0
- checkpoint-100/vocab.json +0 -0
- checkpoint-200/added_tokens.json +24 -0
- checkpoint-200/config.json +37 -0
- checkpoint-200/merges.txt +0 -0
- checkpoint-200/model-00001-of-00002.safetensors +3 -0
- checkpoint-200/model-00002-of-00002.safetensors +3 -0
- checkpoint-200/model.safetensors.index.json +346 -0
- checkpoint-200/special_tokens_map.json +31 -0
- checkpoint-200/tokenizer.json +3 -0
- checkpoint-200/tokenizer_config.json +208 -0
- checkpoint-200/trainer_state.json +2633 -0
- checkpoint-200/training_args.bin +3 -0
- checkpoint-200/vocab.json +0 -0
- checkpoint-300/added_tokens.json +24 -0
- checkpoint-300/config.json +37 -0
- checkpoint-300/merges.txt +0 -0
- checkpoint-300/model-00001-of-00002.safetensors +3 -0
- checkpoint-300/model-00002-of-00002.safetensors +3 -0
- checkpoint-300/model.safetensors.index.json +346 -0
- checkpoint-300/special_tokens_map.json +31 -0
- checkpoint-300/tokenizer.json +3 -0
- checkpoint-300/tokenizer_config.json +208 -0
- checkpoint-300/trainer_state.json +3933 -0
- checkpoint-300/training_args.bin +3 -0
- checkpoint-300/vocab.json +0 -0
- checkpoint-400/added_tokens.json +24 -0
- checkpoint-400/config.json +37 -0
- checkpoint-400/merges.txt +0 -0
- checkpoint-400/model-00001-of-00002.safetensors +3 -0
- checkpoint-400/model-00002-of-00002.safetensors +3 -0
- checkpoint-400/model.safetensors.index.json +346 -0
- checkpoint-400/special_tokens_map.json +31 -0
- checkpoint-400/tokenizer.json +3 -0
- checkpoint-400/tokenizer_config.json +208 -0
- checkpoint-400/trainer_state.json +0 -0
- checkpoint-400/training_args.bin +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
36 |
+
checkpoint-200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
37 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: tlrm/Q25-1.5B-UC
|
3 |
+
library_name: transformers
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
licence: license
|
7 |
+
---
|
8 |
+
|
9 |
+
# Model Card for None
|
10 |
+
|
11 |
+
This model is a fine-tuned version of [tlrm/Q25-1.5B-UC](https://huggingface.co/tlrm/Q25-1.5B-UC).
|
12 |
+
It has been trained using [TRL](https://github.com/huggingface/trl).
|
13 |
+
|
14 |
+
## Quick start
|
15 |
+
|
16 |
+
```python
|
17 |
+
from transformers import pipeline
|
18 |
+
|
19 |
+
question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
|
20 |
+
generator = pipeline("text-generation", model="None", device="cuda")
|
21 |
+
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
|
22 |
+
print(output["generated_text"])
|
23 |
+
```
|
24 |
+
|
25 |
+
## Training procedure
|
26 |
+
|
27 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/jiwooya1000/RMVar-Submission/runs/p38trt3o)
|
28 |
+
|
29 |
+
|
30 |
+
This model was trained with Reward.
|
31 |
+
|
32 |
+
### Framework versions
|
33 |
+
|
34 |
+
- TRL: 0.13.0
|
35 |
+
- Transformers: 4.48.0
|
36 |
+
- Pytorch: 2.5.1
|
37 |
+
- Datasets: 3.2.0
|
38 |
+
- Tokenizers: 0.21.0
|
39 |
+
|
40 |
+
## Citations
|
41 |
+
|
42 |
+
|
43 |
+
|
44 |
+
Cite TRL as:
|
45 |
+
|
46 |
+
```bibtex
|
47 |
+
@misc{vonwerra2022trl,
|
48 |
+
title = {{TRL: Transformer Reinforcement Learning}},
|
49 |
+
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
|
50 |
+
year = 2020,
|
51 |
+
journal = {GitHub repository},
|
52 |
+
publisher = {GitHub},
|
53 |
+
howpublished = {\url{https://github.com/huggingface/trl}}
|
54 |
+
}
|
55 |
+
```
|
added_tokens.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</tool_call>": 151658,
|
3 |
+
"<tool_call>": 151657,
|
4 |
+
"<|box_end|>": 151649,
|
5 |
+
"<|box_start|>": 151648,
|
6 |
+
"<|endoftext|>": 151643,
|
7 |
+
"<|file_sep|>": 151664,
|
8 |
+
"<|fim_middle|>": 151660,
|
9 |
+
"<|fim_pad|>": 151662,
|
10 |
+
"<|fim_prefix|>": 151659,
|
11 |
+
"<|fim_suffix|>": 151661,
|
12 |
+
"<|im_end|>": 151645,
|
13 |
+
"<|im_start|>": 151644,
|
14 |
+
"<|image_pad|>": 151655,
|
15 |
+
"<|object_ref_end|>": 151647,
|
16 |
+
"<|object_ref_start|>": 151646,
|
17 |
+
"<|quad_end|>": 151651,
|
18 |
+
"<|quad_start|>": 151650,
|
19 |
+
"<|repo_name|>": 151663,
|
20 |
+
"<|video_pad|>": 151656,
|
21 |
+
"<|vision_end|>": 151653,
|
22 |
+
"<|vision_pad|>": 151654,
|
23 |
+
"<|vision_start|>": 151652
|
24 |
+
}
|
checkpoint-100/added_tokens.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</tool_call>": 151658,
|
3 |
+
"<tool_call>": 151657,
|
4 |
+
"<|box_end|>": 151649,
|
5 |
+
"<|box_start|>": 151648,
|
6 |
+
"<|endoftext|>": 151643,
|
7 |
+
"<|file_sep|>": 151664,
|
8 |
+
"<|fim_middle|>": 151660,
|
9 |
+
"<|fim_pad|>": 151662,
|
10 |
+
"<|fim_prefix|>": 151659,
|
11 |
+
"<|fim_suffix|>": 151661,
|
12 |
+
"<|im_end|>": 151645,
|
13 |
+
"<|im_start|>": 151644,
|
14 |
+
"<|image_pad|>": 151655,
|
15 |
+
"<|object_ref_end|>": 151647,
|
16 |
+
"<|object_ref_start|>": 151646,
|
17 |
+
"<|quad_end|>": 151651,
|
18 |
+
"<|quad_start|>": 151650,
|
19 |
+
"<|repo_name|>": 151663,
|
20 |
+
"<|video_pad|>": 151656,
|
21 |
+
"<|vision_end|>": 151653,
|
22 |
+
"<|vision_pad|>": 151654,
|
23 |
+
"<|vision_start|>": 151652
|
24 |
+
}
|
checkpoint-100/config.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "tlrm/Q25-1.5B-UC",
|
3 |
+
"architectures": [
|
4 |
+
"Qwen2ForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 151643,
|
8 |
+
"eos_token_id": 151645,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 1536,
|
11 |
+
"id2label": {
|
12 |
+
"0": "LABEL_0"
|
13 |
+
},
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 8960,
|
16 |
+
"label2id": {
|
17 |
+
"LABEL_0": 0
|
18 |
+
},
|
19 |
+
"max_position_embeddings": 131072,
|
20 |
+
"max_window_layers": 28,
|
21 |
+
"model_type": "qwen2",
|
22 |
+
"num_attention_heads": 12,
|
23 |
+
"num_hidden_layers": 28,
|
24 |
+
"num_key_value_heads": 2,
|
25 |
+
"pad_token_id": 151643,
|
26 |
+
"rms_norm_eps": 1e-06,
|
27 |
+
"rope_scaling": null,
|
28 |
+
"rope_theta": 1000000.0,
|
29 |
+
"sliding_window": null,
|
30 |
+
"tie_word_embeddings": true,
|
31 |
+
"torch_dtype": "float32",
|
32 |
+
"transformers_version": "4.48.0",
|
33 |
+
"use_cache": false,
|
34 |
+
"use_mrope": false,
|
35 |
+
"use_sliding_window": false,
|
36 |
+
"vocab_size": 151936
|
37 |
+
}
|
checkpoint-100/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-100/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:25c21718922862064a1efc84bad2faff1b977abbab9604b4526eac6bbf57a271
|
3 |
+
size 4996670464
|
checkpoint-100/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1fb6ad670028ab179e9dddb84e1150f76798028e257ff634ced4f7b17e403f3a
|
3 |
+
size 1178231192
|
checkpoint-100/model.safetensors.index.json
ADDED
@@ -0,0 +1,346 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 6174863360
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
7 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
8 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
9 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
10 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
12 |
+
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
16 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
17 |
+
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
18 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
19 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
20 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
21 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
22 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
23 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
24 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
25 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
26 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
27 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
28 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
29 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
30 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
31 |
+
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
32 |
+
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
33 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
34 |
+
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
35 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
36 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
37 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
38 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
39 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
40 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
41 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
42 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
43 |
+
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
44 |
+
"model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
45 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
46 |
+
"model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
47 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
48 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
49 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
50 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
51 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
52 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
53 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
54 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
55 |
+
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
56 |
+
"model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
57 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
58 |
+
"model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
59 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
60 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
61 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
62 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
63 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
64 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
65 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
66 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
67 |
+
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
68 |
+
"model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
69 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
70 |
+
"model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
71 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
72 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
73 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
74 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
75 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
76 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
77 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
78 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
79 |
+
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
80 |
+
"model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
81 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
82 |
+
"model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
83 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
84 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
85 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
86 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
87 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
88 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
89 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
90 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
91 |
+
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
92 |
+
"model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
93 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
94 |
+
"model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
95 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
96 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
97 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
98 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
99 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
100 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
101 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
102 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
103 |
+
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
104 |
+
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
105 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
106 |
+
"model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
107 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
108 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
109 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
110 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
111 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
112 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
113 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
114 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
115 |
+
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
116 |
+
"model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
117 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
118 |
+
"model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
119 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
120 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
121 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
122 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
123 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
124 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
125 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
126 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
127 |
+
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
128 |
+
"model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
129 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
130 |
+
"model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
131 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
132 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
133 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
134 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
135 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
136 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
137 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
138 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
139 |
+
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
140 |
+
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
141 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
142 |
+
"model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
143 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
144 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
145 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
146 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
147 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
148 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
149 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
150 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
151 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
152 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
153 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
154 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
155 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
156 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
157 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
158 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
159 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
160 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
161 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
162 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
163 |
+
"model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
164 |
+
"model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
165 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
166 |
+
"model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
167 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
168 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
169 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
170 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
171 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
172 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
173 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
174 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
175 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
176 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
177 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
178 |
+
"model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
179 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
180 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
181 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
182 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
183 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
184 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
185 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
186 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
187 |
+
"model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
188 |
+
"model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
189 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
190 |
+
"model.layers.22.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
191 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
192 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
193 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
194 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
195 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
196 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
197 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
198 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
199 |
+
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
200 |
+
"model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
201 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
202 |
+
"model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
203 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
204 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
205 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
206 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
207 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
208 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
209 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
210 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
211 |
+
"model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
212 |
+
"model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
213 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
214 |
+
"model.layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
215 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
216 |
+
"model.layers.24.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
217 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
218 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
219 |
+
"model.layers.24.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
220 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
221 |
+
"model.layers.24.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
222 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
223 |
+
"model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
224 |
+
"model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
225 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
226 |
+
"model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
227 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
228 |
+
"model.layers.25.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
229 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
230 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
231 |
+
"model.layers.25.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
232 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
233 |
+
"model.layers.25.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
234 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
235 |
+
"model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
236 |
+
"model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
237 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
238 |
+
"model.layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
239 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
240 |
+
"model.layers.26.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
241 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
242 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
243 |
+
"model.layers.26.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
244 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
245 |
+
"model.layers.26.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
246 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
247 |
+
"model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
248 |
+
"model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
249 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
250 |
+
"model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
251 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
252 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
253 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
254 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
255 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
256 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
257 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
258 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
259 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
260 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
261 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
262 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
263 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
264 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
265 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
266 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
267 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
268 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
269 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
270 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
271 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
272 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
273 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
274 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
275 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
276 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
277 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
278 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
279 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
280 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
281 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
282 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
283 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
284 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
285 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
286 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
287 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
288 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
289 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
290 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
291 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
292 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
293 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
294 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
295 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
296 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
297 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
298 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
299 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
300 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
301 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
302 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
303 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
304 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
305 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
306 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
307 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
308 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
309 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
310 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
311 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
312 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
313 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
314 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
315 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
316 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
317 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
318 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
319 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
320 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
321 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
322 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
323 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
324 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
325 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
326 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
327 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
328 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
329 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
330 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
331 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
332 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
333 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
334 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
335 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
336 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
337 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
338 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
339 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
340 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
341 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
342 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
343 |
+
"model.norm.weight": "model-00002-of-00002.safetensors",
|
344 |
+
"score.weight": "model-00002-of-00002.safetensors"
|
345 |
+
}
|
346 |
+
}
|
checkpoint-100/special_tokens_map.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>",
|
5 |
+
"<|object_ref_start|>",
|
6 |
+
"<|object_ref_end|>",
|
7 |
+
"<|box_start|>",
|
8 |
+
"<|box_end|>",
|
9 |
+
"<|quad_start|>",
|
10 |
+
"<|quad_end|>",
|
11 |
+
"<|vision_start|>",
|
12 |
+
"<|vision_end|>",
|
13 |
+
"<|vision_pad|>",
|
14 |
+
"<|image_pad|>",
|
15 |
+
"<|video_pad|>"
|
16 |
+
],
|
17 |
+
"eos_token": {
|
18 |
+
"content": "<|im_end|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
},
|
24 |
+
"pad_token": {
|
25 |
+
"content": "<|endoftext|>",
|
26 |
+
"lstrip": false,
|
27 |
+
"normalized": false,
|
28 |
+
"rstrip": false,
|
29 |
+
"single_word": false
|
30 |
+
}
|
31 |
+
}
|
checkpoint-100/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
3 |
+
size 11421896
|
checkpoint-100/tokenizer_config.json
ADDED
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_prefix_space": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"151643": {
|
6 |
+
"content": "<|endoftext|>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"151644": {
|
14 |
+
"content": "<|im_start|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"151645": {
|
22 |
+
"content": "<|im_end|>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"151646": {
|
30 |
+
"content": "<|object_ref_start|>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"151647": {
|
38 |
+
"content": "<|object_ref_end|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"151648": {
|
46 |
+
"content": "<|box_start|>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"151649": {
|
54 |
+
"content": "<|box_end|>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
},
|
61 |
+
"151650": {
|
62 |
+
"content": "<|quad_start|>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": false,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": true
|
68 |
+
},
|
69 |
+
"151651": {
|
70 |
+
"content": "<|quad_end|>",
|
71 |
+
"lstrip": false,
|
72 |
+
"normalized": false,
|
73 |
+
"rstrip": false,
|
74 |
+
"single_word": false,
|
75 |
+
"special": true
|
76 |
+
},
|
77 |
+
"151652": {
|
78 |
+
"content": "<|vision_start|>",
|
79 |
+
"lstrip": false,
|
80 |
+
"normalized": false,
|
81 |
+
"rstrip": false,
|
82 |
+
"single_word": false,
|
83 |
+
"special": true
|
84 |
+
},
|
85 |
+
"151653": {
|
86 |
+
"content": "<|vision_end|>",
|
87 |
+
"lstrip": false,
|
88 |
+
"normalized": false,
|
89 |
+
"rstrip": false,
|
90 |
+
"single_word": false,
|
91 |
+
"special": true
|
92 |
+
},
|
93 |
+
"151654": {
|
94 |
+
"content": "<|vision_pad|>",
|
95 |
+
"lstrip": false,
|
96 |
+
"normalized": false,
|
97 |
+
"rstrip": false,
|
98 |
+
"single_word": false,
|
99 |
+
"special": true
|
100 |
+
},
|
101 |
+
"151655": {
|
102 |
+
"content": "<|image_pad|>",
|
103 |
+
"lstrip": false,
|
104 |
+
"normalized": false,
|
105 |
+
"rstrip": false,
|
106 |
+
"single_word": false,
|
107 |
+
"special": true
|
108 |
+
},
|
109 |
+
"151656": {
|
110 |
+
"content": "<|video_pad|>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": false,
|
113 |
+
"rstrip": false,
|
114 |
+
"single_word": false,
|
115 |
+
"special": true
|
116 |
+
},
|
117 |
+
"151657": {
|
118 |
+
"content": "<tool_call>",
|
119 |
+
"lstrip": false,
|
120 |
+
"normalized": false,
|
121 |
+
"rstrip": false,
|
122 |
+
"single_word": false,
|
123 |
+
"special": false
|
124 |
+
},
|
125 |
+
"151658": {
|
126 |
+
"content": "</tool_call>",
|
127 |
+
"lstrip": false,
|
128 |
+
"normalized": false,
|
129 |
+
"rstrip": false,
|
130 |
+
"single_word": false,
|
131 |
+
"special": false
|
132 |
+
},
|
133 |
+
"151659": {
|
134 |
+
"content": "<|fim_prefix|>",
|
135 |
+
"lstrip": false,
|
136 |
+
"normalized": false,
|
137 |
+
"rstrip": false,
|
138 |
+
"single_word": false,
|
139 |
+
"special": false
|
140 |
+
},
|
141 |
+
"151660": {
|
142 |
+
"content": "<|fim_middle|>",
|
143 |
+
"lstrip": false,
|
144 |
+
"normalized": false,
|
145 |
+
"rstrip": false,
|
146 |
+
"single_word": false,
|
147 |
+
"special": false
|
148 |
+
},
|
149 |
+
"151661": {
|
150 |
+
"content": "<|fim_suffix|>",
|
151 |
+
"lstrip": false,
|
152 |
+
"normalized": false,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": false
|
156 |
+
},
|
157 |
+
"151662": {
|
158 |
+
"content": "<|fim_pad|>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": false,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": false
|
164 |
+
},
|
165 |
+
"151663": {
|
166 |
+
"content": "<|repo_name|>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": false
|
172 |
+
},
|
173 |
+
"151664": {
|
174 |
+
"content": "<|file_sep|>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": false
|
180 |
+
}
|
181 |
+
},
|
182 |
+
"additional_special_tokens": [
|
183 |
+
"<|im_start|>",
|
184 |
+
"<|im_end|>",
|
185 |
+
"<|object_ref_start|>",
|
186 |
+
"<|object_ref_end|>",
|
187 |
+
"<|box_start|>",
|
188 |
+
"<|box_end|>",
|
189 |
+
"<|quad_start|>",
|
190 |
+
"<|quad_end|>",
|
191 |
+
"<|vision_start|>",
|
192 |
+
"<|vision_end|>",
|
193 |
+
"<|vision_pad|>",
|
194 |
+
"<|image_pad|>",
|
195 |
+
"<|video_pad|>"
|
196 |
+
],
|
197 |
+
"bos_token": null,
|
198 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
199 |
+
"clean_up_tokenization_spaces": false,
|
200 |
+
"eos_token": "<|im_end|>",
|
201 |
+
"errors": "replace",
|
202 |
+
"extra_special_tokens": {},
|
203 |
+
"model_max_length": 131072,
|
204 |
+
"pad_token": "<|endoftext|>",
|
205 |
+
"split_special_tokens": false,
|
206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
207 |
+
"unk_token": null
|
208 |
+
}
|
checkpoint-100/trainer_state.json
ADDED
@@ -0,0 +1,1333 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.25,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 100,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"Batch Mean": 0.8096684217453003,
|
13 |
+
"accuracy": 0.625,
|
14 |
+
"epoch": 0,
|
15 |
+
"step": 0
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.0025,
|
19 |
+
"grad_norm": 9.15977954864502,
|
20 |
+
"learning_rate": 2.5000000000000004e-07,
|
21 |
+
"loss": 0.6694,
|
22 |
+
"step": 1
|
23 |
+
},
|
24 |
+
{
|
25 |
+
"Batch Mean": 0.8517913818359375,
|
26 |
+
"accuracy": 0.5234375,
|
27 |
+
"epoch": 0.0025,
|
28 |
+
"step": 1
|
29 |
+
},
|
30 |
+
{
|
31 |
+
"epoch": 0.005,
|
32 |
+
"grad_norm": 9.550761222839355,
|
33 |
+
"learning_rate": 5.000000000000001e-07,
|
34 |
+
"loss": 0.7001,
|
35 |
+
"step": 2
|
36 |
+
},
|
37 |
+
{
|
38 |
+
"Batch Mean": 0.8251190185546875,
|
39 |
+
"accuracy": 0.4921875,
|
40 |
+
"epoch": 0.005,
|
41 |
+
"step": 2
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 0.0075,
|
45 |
+
"grad_norm": 10.096807479858398,
|
46 |
+
"learning_rate": 7.5e-07,
|
47 |
+
"loss": 0.7277,
|
48 |
+
"step": 3
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"Batch Mean": 0.8156070709228516,
|
52 |
+
"accuracy": 0.515625,
|
53 |
+
"epoch": 0.0075,
|
54 |
+
"step": 3
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.01,
|
58 |
+
"grad_norm": 10.845061302185059,
|
59 |
+
"learning_rate": 1.0000000000000002e-06,
|
60 |
+
"loss": 0.7116,
|
61 |
+
"step": 4
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"Batch Mean": 0.772618293762207,
|
65 |
+
"accuracy": 0.53125,
|
66 |
+
"epoch": 0.01,
|
67 |
+
"step": 4
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"epoch": 0.0125,
|
71 |
+
"grad_norm": 10.683115005493164,
|
72 |
+
"learning_rate": 1.25e-06,
|
73 |
+
"loss": 0.7074,
|
74 |
+
"step": 5
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"Batch Mean": 0.7320594787597656,
|
78 |
+
"accuracy": 0.5390625,
|
79 |
+
"epoch": 0.0125,
|
80 |
+
"step": 5
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.015,
|
84 |
+
"grad_norm": 9.102219581604004,
|
85 |
+
"learning_rate": 1.5e-06,
|
86 |
+
"loss": 0.6964,
|
87 |
+
"step": 6
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"Batch Mean": 0.639228105545044,
|
91 |
+
"accuracy": 0.5703125,
|
92 |
+
"epoch": 0.015,
|
93 |
+
"step": 6
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.0175,
|
97 |
+
"grad_norm": 10.126181602478027,
|
98 |
+
"learning_rate": 1.75e-06,
|
99 |
+
"loss": 0.6981,
|
100 |
+
"step": 7
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"Batch Mean": 0.28215163946151733,
|
104 |
+
"accuracy": 0.6015625,
|
105 |
+
"epoch": 0.0175,
|
106 |
+
"step": 7
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 0.02,
|
110 |
+
"grad_norm": 6.3671040534973145,
|
111 |
+
"learning_rate": 2.0000000000000003e-06,
|
112 |
+
"loss": 0.6668,
|
113 |
+
"step": 8
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"Batch Mean": 0.10402120649814606,
|
117 |
+
"accuracy": 0.5234375,
|
118 |
+
"epoch": 0.02,
|
119 |
+
"step": 8
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 0.0225,
|
123 |
+
"grad_norm": 6.053694248199463,
|
124 |
+
"learning_rate": 2.25e-06,
|
125 |
+
"loss": 0.6907,
|
126 |
+
"step": 9
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"Batch Mean": -0.794627845287323,
|
130 |
+
"accuracy": 0.5234375,
|
131 |
+
"epoch": 0.0225,
|
132 |
+
"step": 9
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"epoch": 0.025,
|
136 |
+
"grad_norm": 9.284210205078125,
|
137 |
+
"learning_rate": 2.5e-06,
|
138 |
+
"loss": 0.6879,
|
139 |
+
"step": 10
|
140 |
+
},
|
141 |
+
{
|
142 |
+
"Batch Mean": -1.1373445987701416,
|
143 |
+
"accuracy": 0.59375,
|
144 |
+
"epoch": 0.025,
|
145 |
+
"step": 10
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 0.0275,
|
149 |
+
"grad_norm": 13.110421180725098,
|
150 |
+
"learning_rate": 2.7500000000000004e-06,
|
151 |
+
"loss": 0.6954,
|
152 |
+
"step": 11
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"Batch Mean": -1.2041501998901367,
|
156 |
+
"accuracy": 0.59375,
|
157 |
+
"epoch": 0.0275,
|
158 |
+
"step": 11
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.03,
|
162 |
+
"grad_norm": 13.619694709777832,
|
163 |
+
"learning_rate": 3e-06,
|
164 |
+
"loss": 0.7004,
|
165 |
+
"step": 12
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"Batch Mean": -1.1390533447265625,
|
169 |
+
"accuracy": 0.65625,
|
170 |
+
"epoch": 0.03,
|
171 |
+
"step": 12
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.0325,
|
175 |
+
"grad_norm": 16.698774337768555,
|
176 |
+
"learning_rate": 3.2500000000000002e-06,
|
177 |
+
"loss": 0.6691,
|
178 |
+
"step": 13
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"Batch Mean": -1.2006721496582031,
|
182 |
+
"accuracy": 0.6953125,
|
183 |
+
"epoch": 0.0325,
|
184 |
+
"step": 13
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.035,
|
188 |
+
"grad_norm": 13.031152725219727,
|
189 |
+
"learning_rate": 3.5e-06,
|
190 |
+
"loss": 0.6749,
|
191 |
+
"step": 14
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"Batch Mean": -1.1018962860107422,
|
195 |
+
"accuracy": 0.6484375,
|
196 |
+
"epoch": 0.035,
|
197 |
+
"step": 14
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 0.0375,
|
201 |
+
"grad_norm": 11.913775444030762,
|
202 |
+
"learning_rate": 3.7500000000000005e-06,
|
203 |
+
"loss": 0.6517,
|
204 |
+
"step": 15
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"Batch Mean": -0.8371965289115906,
|
208 |
+
"accuracy": 0.65625,
|
209 |
+
"epoch": 0.0375,
|
210 |
+
"step": 15
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 0.04,
|
214 |
+
"grad_norm": 9.776491165161133,
|
215 |
+
"learning_rate": 4.000000000000001e-06,
|
216 |
+
"loss": 0.6435,
|
217 |
+
"step": 16
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"Batch Mean": -0.25420451164245605,
|
221 |
+
"accuracy": 0.65625,
|
222 |
+
"epoch": 0.04,
|
223 |
+
"step": 16
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 0.0425,
|
227 |
+
"grad_norm": 5.094934940338135,
|
228 |
+
"learning_rate": 4.25e-06,
|
229 |
+
"loss": 0.6352,
|
230 |
+
"step": 17
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"Batch Mean": 0.45112472772598267,
|
234 |
+
"accuracy": 0.625,
|
235 |
+
"epoch": 0.0425,
|
236 |
+
"step": 17
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.045,
|
240 |
+
"grad_norm": 6.203393459320068,
|
241 |
+
"learning_rate": 4.5e-06,
|
242 |
+
"loss": 0.6305,
|
243 |
+
"step": 18
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"Batch Mean": 1.0782840251922607,
|
247 |
+
"accuracy": 0.640625,
|
248 |
+
"epoch": 0.045,
|
249 |
+
"step": 18
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.0475,
|
253 |
+
"grad_norm": 11.932191848754883,
|
254 |
+
"learning_rate": 4.75e-06,
|
255 |
+
"loss": 0.6401,
|
256 |
+
"step": 19
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"Batch Mean": 1.6000666618347168,
|
260 |
+
"accuracy": 0.65625,
|
261 |
+
"epoch": 0.0475,
|
262 |
+
"step": 19
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.05,
|
266 |
+
"grad_norm": 18.466459274291992,
|
267 |
+
"learning_rate": 5e-06,
|
268 |
+
"loss": 0.6928,
|
269 |
+
"step": 20
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"Batch Mean": 1.6292922496795654,
|
273 |
+
"accuracy": 0.65625,
|
274 |
+
"epoch": 0.05,
|
275 |
+
"step": 20
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.0525,
|
279 |
+
"grad_norm": 18.958446502685547,
|
280 |
+
"learning_rate": 4.986842105263158e-06,
|
281 |
+
"loss": 0.6456,
|
282 |
+
"step": 21
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"Batch Mean": 1.0992889404296875,
|
286 |
+
"accuracy": 0.7109375,
|
287 |
+
"epoch": 0.0525,
|
288 |
+
"step": 21
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 0.055,
|
292 |
+
"grad_norm": 12.98255443572998,
|
293 |
+
"learning_rate": 4.973684210526316e-06,
|
294 |
+
"loss": 0.606,
|
295 |
+
"step": 22
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"Batch Mean": 0.33066248893737793,
|
299 |
+
"accuracy": 0.703125,
|
300 |
+
"epoch": 0.055,
|
301 |
+
"step": 22
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 0.0575,
|
305 |
+
"grad_norm": 6.1022725105285645,
|
306 |
+
"learning_rate": 4.960526315789474e-06,
|
307 |
+
"loss": 0.5807,
|
308 |
+
"step": 23
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"Batch Mean": -0.7870486974716187,
|
312 |
+
"accuracy": 0.7109375,
|
313 |
+
"epoch": 0.0575,
|
314 |
+
"step": 23
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.06,
|
318 |
+
"grad_norm": 9.311738014221191,
|
319 |
+
"learning_rate": 4.947368421052632e-06,
|
320 |
+
"loss": 0.5331,
|
321 |
+
"step": 24
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"Batch Mean": -1.2838190793991089,
|
325 |
+
"accuracy": 0.6484375,
|
326 |
+
"epoch": 0.06,
|
327 |
+
"step": 24
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.0625,
|
331 |
+
"grad_norm": 13.955443382263184,
|
332 |
+
"learning_rate": 4.9342105263157895e-06,
|
333 |
+
"loss": 0.6186,
|
334 |
+
"step": 25
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"Batch Mean": -1.324391484260559,
|
338 |
+
"accuracy": 0.6953125,
|
339 |
+
"epoch": 0.0625,
|
340 |
+
"step": 25
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 0.065,
|
344 |
+
"grad_norm": 14.612135887145996,
|
345 |
+
"learning_rate": 4.921052631578948e-06,
|
346 |
+
"loss": 0.5325,
|
347 |
+
"step": 26
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"Batch Mean": -0.7885305881500244,
|
351 |
+
"accuracy": 0.7109375,
|
352 |
+
"epoch": 0.065,
|
353 |
+
"step": 26
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.0675,
|
357 |
+
"grad_norm": 9.373554229736328,
|
358 |
+
"learning_rate": 4.907894736842106e-06,
|
359 |
+
"loss": 0.5549,
|
360 |
+
"step": 27
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"Batch Mean": -0.25717926025390625,
|
364 |
+
"accuracy": 0.6953125,
|
365 |
+
"epoch": 0.0675,
|
366 |
+
"step": 27
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.07,
|
370 |
+
"grad_norm": 5.559288501739502,
|
371 |
+
"learning_rate": 4.894736842105264e-06,
|
372 |
+
"loss": 0.572,
|
373 |
+
"step": 28
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"Batch Mean": 0.7993221282958984,
|
377 |
+
"accuracy": 0.6171875,
|
378 |
+
"epoch": 0.07,
|
379 |
+
"step": 28
|
380 |
+
},
|
381 |
+
{
|
382 |
+
"epoch": 0.0725,
|
383 |
+
"grad_norm": 10.778632164001465,
|
384 |
+
"learning_rate": 4.881578947368422e-06,
|
385 |
+
"loss": 0.6806,
|
386 |
+
"step": 29
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"Batch Mean": 1.2803305387496948,
|
390 |
+
"accuracy": 0.6796875,
|
391 |
+
"epoch": 0.0725,
|
392 |
+
"step": 29
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.075,
|
396 |
+
"grad_norm": 14.314054489135742,
|
397 |
+
"learning_rate": 4.8684210526315795e-06,
|
398 |
+
"loss": 0.641,
|
399 |
+
"step": 30
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"Batch Mean": 1.1847546100616455,
|
403 |
+
"accuracy": 0.7890625,
|
404 |
+
"epoch": 0.075,
|
405 |
+
"step": 30
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.0775,
|
409 |
+
"grad_norm": 12.86508846282959,
|
410 |
+
"learning_rate": 4.855263157894737e-06,
|
411 |
+
"loss": 0.5118,
|
412 |
+
"step": 31
|
413 |
+
},
|
414 |
+
{
|
415 |
+
"Batch Mean": 0.7971279621124268,
|
416 |
+
"accuracy": 0.734375,
|
417 |
+
"epoch": 0.0775,
|
418 |
+
"step": 31
|
419 |
+
},
|
420 |
+
{
|
421 |
+
"epoch": 0.08,
|
422 |
+
"grad_norm": 8.987775802612305,
|
423 |
+
"learning_rate": 4.842105263157895e-06,
|
424 |
+
"loss": 0.5508,
|
425 |
+
"step": 32
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"Batch Mean": -0.12238264083862305,
|
429 |
+
"accuracy": 0.671875,
|
430 |
+
"epoch": 0.08,
|
431 |
+
"step": 32
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.0825,
|
435 |
+
"grad_norm": 4.265674591064453,
|
436 |
+
"learning_rate": 4.828947368421053e-06,
|
437 |
+
"loss": 0.5533,
|
438 |
+
"step": 33
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"Batch Mean": -0.7733749151229858,
|
442 |
+
"accuracy": 0.7265625,
|
443 |
+
"epoch": 0.0825,
|
444 |
+
"step": 33
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.085,
|
448 |
+
"grad_norm": 9.074788093566895,
|
449 |
+
"learning_rate": 4.815789473684211e-06,
|
450 |
+
"loss": 0.5455,
|
451 |
+
"step": 34
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"Batch Mean": -0.9033082723617554,
|
455 |
+
"accuracy": 0.7578125,
|
456 |
+
"epoch": 0.085,
|
457 |
+
"step": 34
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.0875,
|
461 |
+
"grad_norm": 10.331607818603516,
|
462 |
+
"learning_rate": 4.802631578947369e-06,
|
463 |
+
"loss": 0.5539,
|
464 |
+
"step": 35
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"Batch Mean": -0.5780456066131592,
|
468 |
+
"accuracy": 0.7265625,
|
469 |
+
"epoch": 0.0875,
|
470 |
+
"step": 35
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 0.09,
|
474 |
+
"grad_norm": 7.254377365112305,
|
475 |
+
"learning_rate": 4.789473684210527e-06,
|
476 |
+
"loss": 0.547,
|
477 |
+
"step": 36
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"Batch Mean": 0.09664157032966614,
|
481 |
+
"accuracy": 0.6953125,
|
482 |
+
"epoch": 0.09,
|
483 |
+
"step": 36
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 0.0925,
|
487 |
+
"grad_norm": 3.9853391647338867,
|
488 |
+
"learning_rate": 4.7763157894736844e-06,
|
489 |
+
"loss": 0.5451,
|
490 |
+
"step": 37
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"Batch Mean": 0.5406360626220703,
|
494 |
+
"accuracy": 0.7265625,
|
495 |
+
"epoch": 0.0925,
|
496 |
+
"step": 37
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 0.095,
|
500 |
+
"grad_norm": 7.308631896972656,
|
501 |
+
"learning_rate": 4.763157894736842e-06,
|
502 |
+
"loss": 0.5313,
|
503 |
+
"step": 38
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"Batch Mean": 0.6023058891296387,
|
507 |
+
"accuracy": 0.7890625,
|
508 |
+
"epoch": 0.095,
|
509 |
+
"step": 38
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 0.0975,
|
513 |
+
"grad_norm": 7.4278717041015625,
|
514 |
+
"learning_rate": 4.75e-06,
|
515 |
+
"loss": 0.5145,
|
516 |
+
"step": 39
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"Batch Mean": 0.23680943250656128,
|
520 |
+
"accuracy": 0.7890625,
|
521 |
+
"epoch": 0.0975,
|
522 |
+
"step": 39
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 0.1,
|
526 |
+
"grad_norm": 5.057112693786621,
|
527 |
+
"learning_rate": 4.736842105263158e-06,
|
528 |
+
"loss": 0.4793,
|
529 |
+
"step": 40
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"Batch Mean": -0.2819175720214844,
|
533 |
+
"accuracy": 0.75,
|
534 |
+
"epoch": 0.1,
|
535 |
+
"step": 40
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.1025,
|
539 |
+
"grad_norm": 5.986076831817627,
|
540 |
+
"learning_rate": 4.723684210526316e-06,
|
541 |
+
"loss": 0.4989,
|
542 |
+
"step": 41
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"Batch Mean": -0.2952081263065338,
|
546 |
+
"accuracy": 0.765625,
|
547 |
+
"epoch": 0.1025,
|
548 |
+
"step": 41
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.105,
|
552 |
+
"grad_norm": 6.123879432678223,
|
553 |
+
"learning_rate": 4.710526315789474e-06,
|
554 |
+
"loss": 0.4959,
|
555 |
+
"step": 42
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"Batch Mean": -0.5327777862548828,
|
559 |
+
"accuracy": 0.8359375,
|
560 |
+
"epoch": 0.105,
|
561 |
+
"step": 42
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.1075,
|
565 |
+
"grad_norm": 7.773658752441406,
|
566 |
+
"learning_rate": 4.697368421052632e-06,
|
567 |
+
"loss": 0.4501,
|
568 |
+
"step": 43
|
569 |
+
},
|
570 |
+
{
|
571 |
+
"Batch Mean": -0.00808095932006836,
|
572 |
+
"accuracy": 0.7265625,
|
573 |
+
"epoch": 0.1075,
|
574 |
+
"step": 43
|
575 |
+
},
|
576 |
+
{
|
577 |
+
"epoch": 0.11,
|
578 |
+
"grad_norm": 6.165060520172119,
|
579 |
+
"learning_rate": 4.68421052631579e-06,
|
580 |
+
"loss": 0.4952,
|
581 |
+
"step": 44
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"Batch Mean": 0.23638486862182617,
|
585 |
+
"accuracy": 0.7109375,
|
586 |
+
"epoch": 0.11,
|
587 |
+
"step": 44
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 0.1125,
|
591 |
+
"grad_norm": 6.963595390319824,
|
592 |
+
"learning_rate": 4.671052631578948e-06,
|
593 |
+
"loss": 0.5261,
|
594 |
+
"step": 45
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"Batch Mean": 0.07831740379333496,
|
598 |
+
"accuracy": 0.8125,
|
599 |
+
"epoch": 0.1125,
|
600 |
+
"step": 45
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 0.115,
|
604 |
+
"grad_norm": 5.393492221832275,
|
605 |
+
"learning_rate": 4.657894736842106e-06,
|
606 |
+
"loss": 0.405,
|
607 |
+
"step": 46
|
608 |
+
},
|
609 |
+
{
|
610 |
+
"Batch Mean": 0.10195636749267578,
|
611 |
+
"accuracy": 0.75,
|
612 |
+
"epoch": 0.115,
|
613 |
+
"step": 46
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 0.1175,
|
617 |
+
"grad_norm": 9.352888107299805,
|
618 |
+
"learning_rate": 4.6447368421052635e-06,
|
619 |
+
"loss": 0.5726,
|
620 |
+
"step": 47
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"Batch Mean": 0.4460281729698181,
|
624 |
+
"accuracy": 0.7578125,
|
625 |
+
"epoch": 0.1175,
|
626 |
+
"step": 47
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.12,
|
630 |
+
"grad_norm": 9.130428314208984,
|
631 |
+
"learning_rate": 4.631578947368421e-06,
|
632 |
+
"loss": 0.5347,
|
633 |
+
"step": 48
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"Batch Mean": -0.2610776424407959,
|
637 |
+
"accuracy": 0.796875,
|
638 |
+
"epoch": 0.12,
|
639 |
+
"step": 48
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.1225,
|
643 |
+
"grad_norm": 6.863037586212158,
|
644 |
+
"learning_rate": 4.618421052631579e-06,
|
645 |
+
"loss": 0.4456,
|
646 |
+
"step": 49
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"Batch Mean": -0.19384944438934326,
|
650 |
+
"accuracy": 0.6328125,
|
651 |
+
"epoch": 0.1225,
|
652 |
+
"step": 49
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 0.125,
|
656 |
+
"grad_norm": 6.617422103881836,
|
657 |
+
"learning_rate": 4.605263157894737e-06,
|
658 |
+
"loss": 0.5905,
|
659 |
+
"step": 50
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"Batch Mean": -0.4514150619506836,
|
663 |
+
"accuracy": 0.7890625,
|
664 |
+
"epoch": 0.125,
|
665 |
+
"step": 50
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 0.1275,
|
669 |
+
"grad_norm": 7.564980506896973,
|
670 |
+
"learning_rate": 4.592105263157895e-06,
|
671 |
+
"loss": 0.4885,
|
672 |
+
"step": 51
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"Batch Mean": -0.003515481948852539,
|
676 |
+
"accuracy": 0.734375,
|
677 |
+
"epoch": 0.1275,
|
678 |
+
"step": 51
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 0.13,
|
682 |
+
"grad_norm": 5.258878707885742,
|
683 |
+
"learning_rate": 4.578947368421053e-06,
|
684 |
+
"loss": 0.5032,
|
685 |
+
"step": 52
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"Batch Mean": -0.10907495021820068,
|
689 |
+
"accuracy": 0.71875,
|
690 |
+
"epoch": 0.13,
|
691 |
+
"step": 52
|
692 |
+
},
|
693 |
+
{
|
694 |
+
"epoch": 0.1325,
|
695 |
+
"grad_norm": 5.931639194488525,
|
696 |
+
"learning_rate": 4.565789473684211e-06,
|
697 |
+
"loss": 0.542,
|
698 |
+
"step": 53
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"Batch Mean": 0.46248769760131836,
|
702 |
+
"accuracy": 0.7890625,
|
703 |
+
"epoch": 0.1325,
|
704 |
+
"step": 53
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.135,
|
708 |
+
"grad_norm": 7.1796112060546875,
|
709 |
+
"learning_rate": 4.552631578947369e-06,
|
710 |
+
"loss": 0.4685,
|
711 |
+
"step": 54
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"Batch Mean": 0.1234641969203949,
|
715 |
+
"accuracy": 0.7265625,
|
716 |
+
"epoch": 0.135,
|
717 |
+
"step": 54
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.1375,
|
721 |
+
"grad_norm": 6.273733139038086,
|
722 |
+
"learning_rate": 4.539473684210527e-06,
|
723 |
+
"loss": 0.4989,
|
724 |
+
"step": 55
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"Batch Mean": -0.15052831172943115,
|
728 |
+
"accuracy": 0.78125,
|
729 |
+
"epoch": 0.1375,
|
730 |
+
"step": 55
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.14,
|
734 |
+
"grad_norm": 5.630648612976074,
|
735 |
+
"learning_rate": 4.526315789473685e-06,
|
736 |
+
"loss": 0.4518,
|
737 |
+
"step": 56
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"Batch Mean": 0.10203218460083008,
|
741 |
+
"accuracy": 0.75,
|
742 |
+
"epoch": 0.14,
|
743 |
+
"step": 56
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 0.1425,
|
747 |
+
"grad_norm": 5.465209484100342,
|
748 |
+
"learning_rate": 4.513157894736843e-06,
|
749 |
+
"loss": 0.4775,
|
750 |
+
"step": 57
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"Batch Mean": -0.2146952748298645,
|
754 |
+
"accuracy": 0.7578125,
|
755 |
+
"epoch": 0.1425,
|
756 |
+
"step": 57
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 0.145,
|
760 |
+
"grad_norm": 5.516883373260498,
|
761 |
+
"learning_rate": 4.5e-06,
|
762 |
+
"loss": 0.4672,
|
763 |
+
"step": 58
|
764 |
+
},
|
765 |
+
{
|
766 |
+
"Batch Mean": 0.39426422119140625,
|
767 |
+
"accuracy": 0.7734375,
|
768 |
+
"epoch": 0.145,
|
769 |
+
"step": 58
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 0.1475,
|
773 |
+
"grad_norm": 6.986379146575928,
|
774 |
+
"learning_rate": 4.4868421052631584e-06,
|
775 |
+
"loss": 0.4851,
|
776 |
+
"step": 59
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"Batch Mean": 0.1964409053325653,
|
780 |
+
"accuracy": 0.75,
|
781 |
+
"epoch": 0.1475,
|
782 |
+
"step": 59
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 0.15,
|
786 |
+
"grad_norm": 6.413231372833252,
|
787 |
+
"learning_rate": 4.473684210526316e-06,
|
788 |
+
"loss": 0.5073,
|
789 |
+
"step": 60
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"Batch Mean": -0.21541327238082886,
|
793 |
+
"accuracy": 0.7890625,
|
794 |
+
"epoch": 0.15,
|
795 |
+
"step": 60
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 0.1525,
|
799 |
+
"grad_norm": 5.495061874389648,
|
800 |
+
"learning_rate": 4.460526315789474e-06,
|
801 |
+
"loss": 0.4751,
|
802 |
+
"step": 61
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"Batch Mean": -0.3059917688369751,
|
806 |
+
"accuracy": 0.7890625,
|
807 |
+
"epoch": 0.1525,
|
808 |
+
"step": 61
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 0.155,
|
812 |
+
"grad_norm": 6.379850387573242,
|
813 |
+
"learning_rate": 4.447368421052632e-06,
|
814 |
+
"loss": 0.4679,
|
815 |
+
"step": 62
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"Batch Mean": -0.5860270261764526,
|
819 |
+
"accuracy": 0.8046875,
|
820 |
+
"epoch": 0.155,
|
821 |
+
"step": 62
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.1575,
|
825 |
+
"grad_norm": 8.42182731628418,
|
826 |
+
"learning_rate": 4.43421052631579e-06,
|
827 |
+
"loss": 0.4152,
|
828 |
+
"step": 63
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"Batch Mean": 0.14216375350952148,
|
832 |
+
"accuracy": 0.7578125,
|
833 |
+
"epoch": 0.1575,
|
834 |
+
"step": 63
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 0.16,
|
838 |
+
"grad_norm": 6.759493827819824,
|
839 |
+
"learning_rate": 4.4210526315789476e-06,
|
840 |
+
"loss": 0.4852,
|
841 |
+
"step": 64
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"Batch Mean": 0.3515692353248596,
|
845 |
+
"accuracy": 0.796875,
|
846 |
+
"epoch": 0.16,
|
847 |
+
"step": 64
|
848 |
+
},
|
849 |
+
{
|
850 |
+
"epoch": 0.1625,
|
851 |
+
"grad_norm": 7.567401885986328,
|
852 |
+
"learning_rate": 4.407894736842105e-06,
|
853 |
+
"loss": 0.4449,
|
854 |
+
"step": 65
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"Batch Mean": 0.281324565410614,
|
858 |
+
"accuracy": 0.765625,
|
859 |
+
"epoch": 0.1625,
|
860 |
+
"step": 65
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 0.165,
|
864 |
+
"grad_norm": 7.912868022918701,
|
865 |
+
"learning_rate": 4.394736842105263e-06,
|
866 |
+
"loss": 0.5717,
|
867 |
+
"step": 66
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"Batch Mean": 0.07387387752532959,
|
871 |
+
"accuracy": 0.796875,
|
872 |
+
"epoch": 0.165,
|
873 |
+
"step": 66
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 0.1675,
|
877 |
+
"grad_norm": 5.737614631652832,
|
878 |
+
"learning_rate": 4.381578947368421e-06,
|
879 |
+
"loss": 0.4532,
|
880 |
+
"step": 67
|
881 |
+
},
|
882 |
+
{
|
883 |
+
"Batch Mean": -0.45137548446655273,
|
884 |
+
"accuracy": 0.7734375,
|
885 |
+
"epoch": 0.1675,
|
886 |
+
"step": 67
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 0.17,
|
890 |
+
"grad_norm": 9.204909324645996,
|
891 |
+
"learning_rate": 4.368421052631579e-06,
|
892 |
+
"loss": 0.501,
|
893 |
+
"step": 68
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"Batch Mean": -0.12238574028015137,
|
897 |
+
"accuracy": 0.828125,
|
898 |
+
"epoch": 0.17,
|
899 |
+
"step": 68
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 0.1725,
|
903 |
+
"grad_norm": 6.6219162940979,
|
904 |
+
"learning_rate": 4.3552631578947375e-06,
|
905 |
+
"loss": 0.416,
|
906 |
+
"step": 69
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"Batch Mean": 0.06974506378173828,
|
910 |
+
"accuracy": 0.78125,
|
911 |
+
"epoch": 0.1725,
|
912 |
+
"step": 69
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.175,
|
916 |
+
"grad_norm": 5.526142120361328,
|
917 |
+
"learning_rate": 4.342105263157895e-06,
|
918 |
+
"loss": 0.4364,
|
919 |
+
"step": 70
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"Batch Mean": 0.3401278257369995,
|
923 |
+
"accuracy": 0.8359375,
|
924 |
+
"epoch": 0.175,
|
925 |
+
"step": 70
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 0.1775,
|
929 |
+
"grad_norm": 6.567529678344727,
|
930 |
+
"learning_rate": 4.328947368421053e-06,
|
931 |
+
"loss": 0.4396,
|
932 |
+
"step": 71
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"Batch Mean": -0.12450069189071655,
|
936 |
+
"accuracy": 0.75,
|
937 |
+
"epoch": 0.1775,
|
938 |
+
"step": 71
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 0.18,
|
942 |
+
"grad_norm": 6.054138660430908,
|
943 |
+
"learning_rate": 4.315789473684211e-06,
|
944 |
+
"loss": 0.4604,
|
945 |
+
"step": 72
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"Batch Mean": 0.0036773681640625,
|
949 |
+
"accuracy": 0.7890625,
|
950 |
+
"epoch": 0.18,
|
951 |
+
"step": 72
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 0.1825,
|
955 |
+
"grad_norm": 6.112196445465088,
|
956 |
+
"learning_rate": 4.302631578947369e-06,
|
957 |
+
"loss": 0.4091,
|
958 |
+
"step": 73
|
959 |
+
},
|
960 |
+
{
|
961 |
+
"Batch Mean": -0.3432164192199707,
|
962 |
+
"accuracy": 0.7890625,
|
963 |
+
"epoch": 0.1825,
|
964 |
+
"step": 73
|
965 |
+
},
|
966 |
+
{
|
967 |
+
"epoch": 0.185,
|
968 |
+
"grad_norm": 6.806588649749756,
|
969 |
+
"learning_rate": 4.289473684210527e-06,
|
970 |
+
"loss": 0.4194,
|
971 |
+
"step": 74
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"Batch Mean": -0.10890483856201172,
|
975 |
+
"accuracy": 0.671875,
|
976 |
+
"epoch": 0.185,
|
977 |
+
"step": 74
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 0.1875,
|
981 |
+
"grad_norm": 7.000553131103516,
|
982 |
+
"learning_rate": 4.276315789473684e-06,
|
983 |
+
"loss": 0.5318,
|
984 |
+
"step": 75
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"Batch Mean": 0.6419280171394348,
|
988 |
+
"accuracy": 0.7265625,
|
989 |
+
"epoch": 0.1875,
|
990 |
+
"step": 75
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 0.19,
|
994 |
+
"grad_norm": 8.422764778137207,
|
995 |
+
"learning_rate": 4.2631578947368425e-06,
|
996 |
+
"loss": 0.4539,
|
997 |
+
"step": 76
|
998 |
+
},
|
999 |
+
{
|
1000 |
+
"Batch Mean": 0.28451067209243774,
|
1001 |
+
"accuracy": 0.7734375,
|
1002 |
+
"epoch": 0.19,
|
1003 |
+
"step": 76
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.1925,
|
1007 |
+
"grad_norm": 6.512566566467285,
|
1008 |
+
"learning_rate": 4.25e-06,
|
1009 |
+
"loss": 0.4522,
|
1010 |
+
"step": 77
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"Batch Mean": -0.07123541831970215,
|
1014 |
+
"accuracy": 0.8125,
|
1015 |
+
"epoch": 0.1925,
|
1016 |
+
"step": 77
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 0.195,
|
1020 |
+
"grad_norm": 6.979062080383301,
|
1021 |
+
"learning_rate": 4.236842105263158e-06,
|
1022 |
+
"loss": 0.4827,
|
1023 |
+
"step": 78
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"Batch Mean": -0.2889130115509033,
|
1027 |
+
"accuracy": 0.71875,
|
1028 |
+
"epoch": 0.195,
|
1029 |
+
"step": 78
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 0.1975,
|
1033 |
+
"grad_norm": 7.523491859436035,
|
1034 |
+
"learning_rate": 4.223684210526316e-06,
|
1035 |
+
"loss": 0.4501,
|
1036 |
+
"step": 79
|
1037 |
+
},
|
1038 |
+
{
|
1039 |
+
"Batch Mean": -0.2912619113922119,
|
1040 |
+
"accuracy": 0.8046875,
|
1041 |
+
"epoch": 0.1975,
|
1042 |
+
"step": 79
|
1043 |
+
},
|
1044 |
+
{
|
1045 |
+
"epoch": 0.2,
|
1046 |
+
"grad_norm": 6.1573662757873535,
|
1047 |
+
"learning_rate": 4.210526315789474e-06,
|
1048 |
+
"loss": 0.4537,
|
1049 |
+
"step": 80
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"Batch Mean": 0.07626897096633911,
|
1053 |
+
"accuracy": 0.84375,
|
1054 |
+
"epoch": 0.2,
|
1055 |
+
"step": 80
|
1056 |
+
},
|
1057 |
+
{
|
1058 |
+
"epoch": 0.2025,
|
1059 |
+
"grad_norm": 5.308783054351807,
|
1060 |
+
"learning_rate": 4.197368421052632e-06,
|
1061 |
+
"loss": 0.3777,
|
1062 |
+
"step": 81
|
1063 |
+
},
|
1064 |
+
{
|
1065 |
+
"Batch Mean": 0.44231414794921875,
|
1066 |
+
"accuracy": 0.78125,
|
1067 |
+
"epoch": 0.2025,
|
1068 |
+
"step": 81
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 0.205,
|
1072 |
+
"grad_norm": 7.6725969314575195,
|
1073 |
+
"learning_rate": 4.18421052631579e-06,
|
1074 |
+
"loss": 0.4681,
|
1075 |
+
"step": 82
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"Batch Mean": 0.05066095292568207,
|
1079 |
+
"accuracy": 0.7734375,
|
1080 |
+
"epoch": 0.205,
|
1081 |
+
"step": 82
|
1082 |
+
},
|
1083 |
+
{
|
1084 |
+
"epoch": 0.2075,
|
1085 |
+
"grad_norm": 6.136054039001465,
|
1086 |
+
"learning_rate": 4.171052631578948e-06,
|
1087 |
+
"loss": 0.4111,
|
1088 |
+
"step": 83
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"Batch Mean": 0.11537289619445801,
|
1092 |
+
"accuracy": 0.8515625,
|
1093 |
+
"epoch": 0.2075,
|
1094 |
+
"step": 83
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.21,
|
1098 |
+
"grad_norm": 5.31056022644043,
|
1099 |
+
"learning_rate": 4.157894736842106e-06,
|
1100 |
+
"loss": 0.345,
|
1101 |
+
"step": 84
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"Batch Mean": 0.05826067924499512,
|
1105 |
+
"accuracy": 0.734375,
|
1106 |
+
"epoch": 0.21,
|
1107 |
+
"step": 84
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 0.2125,
|
1111 |
+
"grad_norm": 6.368407249450684,
|
1112 |
+
"learning_rate": 4.144736842105263e-06,
|
1113 |
+
"loss": 0.4834,
|
1114 |
+
"step": 85
|
1115 |
+
},
|
1116 |
+
{
|
1117 |
+
"Batch Mean": -0.05756664276123047,
|
1118 |
+
"accuracy": 0.75,
|
1119 |
+
"epoch": 0.2125,
|
1120 |
+
"step": 85
|
1121 |
+
},
|
1122 |
+
{
|
1123 |
+
"epoch": 0.215,
|
1124 |
+
"grad_norm": 7.063327312469482,
|
1125 |
+
"learning_rate": 4.1315789473684216e-06,
|
1126 |
+
"loss": 0.5013,
|
1127 |
+
"step": 86
|
1128 |
+
},
|
1129 |
+
{
|
1130 |
+
"Batch Mean": -0.08471214771270752,
|
1131 |
+
"accuracy": 0.8046875,
|
1132 |
+
"epoch": 0.215,
|
1133 |
+
"step": 86
|
1134 |
+
},
|
1135 |
+
{
|
1136 |
+
"epoch": 0.2175,
|
1137 |
+
"grad_norm": 6.508166313171387,
|
1138 |
+
"learning_rate": 4.118421052631579e-06,
|
1139 |
+
"loss": 0.4431,
|
1140 |
+
"step": 87
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"Batch Mean": -0.06070905923843384,
|
1144 |
+
"accuracy": 0.703125,
|
1145 |
+
"epoch": 0.2175,
|
1146 |
+
"step": 87
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 0.22,
|
1150 |
+
"grad_norm": 7.8081583976745605,
|
1151 |
+
"learning_rate": 4.105263157894737e-06,
|
1152 |
+
"loss": 0.5481,
|
1153 |
+
"step": 88
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"Batch Mean": -0.15125751495361328,
|
1157 |
+
"accuracy": 0.8046875,
|
1158 |
+
"epoch": 0.22,
|
1159 |
+
"step": 88
|
1160 |
+
},
|
1161 |
+
{
|
1162 |
+
"epoch": 0.2225,
|
1163 |
+
"grad_norm": 5.806808948516846,
|
1164 |
+
"learning_rate": 4.092105263157895e-06,
|
1165 |
+
"loss": 0.3994,
|
1166 |
+
"step": 89
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"Batch Mean": -0.0017851591110229492,
|
1170 |
+
"accuracy": 0.828125,
|
1171 |
+
"epoch": 0.2225,
|
1172 |
+
"step": 89
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 0.225,
|
1176 |
+
"grad_norm": 5.560466766357422,
|
1177 |
+
"learning_rate": 4.078947368421053e-06,
|
1178 |
+
"loss": 0.4,
|
1179 |
+
"step": 90
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"Batch Mean": 0.07748031616210938,
|
1183 |
+
"accuracy": 0.8046875,
|
1184 |
+
"epoch": 0.225,
|
1185 |
+
"step": 90
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.2275,
|
1189 |
+
"grad_norm": 5.754173278808594,
|
1190 |
+
"learning_rate": 4.065789473684211e-06,
|
1191 |
+
"loss": 0.4019,
|
1192 |
+
"step": 91
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"Batch Mean": -0.24073825776576996,
|
1196 |
+
"accuracy": 0.78125,
|
1197 |
+
"epoch": 0.2275,
|
1198 |
+
"step": 91
|
1199 |
+
},
|
1200 |
+
{
|
1201 |
+
"epoch": 0.23,
|
1202 |
+
"grad_norm": 6.231720447540283,
|
1203 |
+
"learning_rate": 4.052631578947368e-06,
|
1204 |
+
"loss": 0.4585,
|
1205 |
+
"step": 92
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"Batch Mean": -0.45170480012893677,
|
1209 |
+
"accuracy": 0.75,
|
1210 |
+
"epoch": 0.23,
|
1211 |
+
"step": 92
|
1212 |
+
},
|
1213 |
+
{
|
1214 |
+
"epoch": 0.2325,
|
1215 |
+
"grad_norm": 7.313357353210449,
|
1216 |
+
"learning_rate": 4.0394736842105265e-06,
|
1217 |
+
"loss": 0.4762,
|
1218 |
+
"step": 93
|
1219 |
+
},
|
1220 |
+
{
|
1221 |
+
"Batch Mean": 0.024792194366455078,
|
1222 |
+
"accuracy": 0.796875,
|
1223 |
+
"epoch": 0.2325,
|
1224 |
+
"step": 93
|
1225 |
+
},
|
1226 |
+
{
|
1227 |
+
"epoch": 0.235,
|
1228 |
+
"grad_norm": 4.933104515075684,
|
1229 |
+
"learning_rate": 4.026315789473684e-06,
|
1230 |
+
"loss": 0.4138,
|
1231 |
+
"step": 94
|
1232 |
+
},
|
1233 |
+
{
|
1234 |
+
"Batch Mean": -0.02751898765563965,
|
1235 |
+
"accuracy": 0.7421875,
|
1236 |
+
"epoch": 0.235,
|
1237 |
+
"step": 94
|
1238 |
+
},
|
1239 |
+
{
|
1240 |
+
"epoch": 0.2375,
|
1241 |
+
"grad_norm": 5.39032506942749,
|
1242 |
+
"learning_rate": 4.013157894736842e-06,
|
1243 |
+
"loss": 0.4787,
|
1244 |
+
"step": 95
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"Batch Mean": 0.06753873825073242,
|
1248 |
+
"accuracy": 0.8203125,
|
1249 |
+
"epoch": 0.2375,
|
1250 |
+
"step": 95
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 0.24,
|
1254 |
+
"grad_norm": 5.1791462898254395,
|
1255 |
+
"learning_rate": 4.000000000000001e-06,
|
1256 |
+
"loss": 0.4488,
|
1257 |
+
"step": 96
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"Batch Mean": 0.22616100311279297,
|
1261 |
+
"accuracy": 0.828125,
|
1262 |
+
"epoch": 0.24,
|
1263 |
+
"step": 96
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 0.2425,
|
1267 |
+
"grad_norm": 5.300809383392334,
|
1268 |
+
"learning_rate": 3.986842105263158e-06,
|
1269 |
+
"loss": 0.4142,
|
1270 |
+
"step": 97
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"Batch Mean": -0.15787070989608765,
|
1274 |
+
"accuracy": 0.8515625,
|
1275 |
+
"epoch": 0.2425,
|
1276 |
+
"step": 97
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.245,
|
1280 |
+
"grad_norm": 5.704384803771973,
|
1281 |
+
"learning_rate": 3.9736842105263165e-06,
|
1282 |
+
"loss": 0.3797,
|
1283 |
+
"step": 98
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"Batch Mean": 0.13187718391418457,
|
1287 |
+
"accuracy": 0.8046875,
|
1288 |
+
"epoch": 0.245,
|
1289 |
+
"step": 98
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 0.2475,
|
1293 |
+
"grad_norm": 6.045483589172363,
|
1294 |
+
"learning_rate": 3.960526315789474e-06,
|
1295 |
+
"loss": 0.5195,
|
1296 |
+
"step": 99
|
1297 |
+
},
|
1298 |
+
{
|
1299 |
+
"Batch Mean": -0.08533608913421631,
|
1300 |
+
"accuracy": 0.8203125,
|
1301 |
+
"epoch": 0.2475,
|
1302 |
+
"step": 99
|
1303 |
+
},
|
1304 |
+
{
|
1305 |
+
"epoch": 0.25,
|
1306 |
+
"grad_norm": 4.997817516326904,
|
1307 |
+
"learning_rate": 3.947368421052632e-06,
|
1308 |
+
"loss": 0.3816,
|
1309 |
+
"step": 100
|
1310 |
+
}
|
1311 |
+
],
|
1312 |
+
"logging_steps": 1,
|
1313 |
+
"max_steps": 400,
|
1314 |
+
"num_input_tokens_seen": 0,
|
1315 |
+
"num_train_epochs": 1,
|
1316 |
+
"save_steps": 100,
|
1317 |
+
"stateful_callbacks": {
|
1318 |
+
"TrainerControl": {
|
1319 |
+
"args": {
|
1320 |
+
"should_epoch_stop": false,
|
1321 |
+
"should_evaluate": false,
|
1322 |
+
"should_log": false,
|
1323 |
+
"should_save": true,
|
1324 |
+
"should_training_stop": false
|
1325 |
+
},
|
1326 |
+
"attributes": {}
|
1327 |
+
}
|
1328 |
+
},
|
1329 |
+
"total_flos": 0.0,
|
1330 |
+
"train_batch_size": 16,
|
1331 |
+
"trial_name": null,
|
1332 |
+
"trial_params": null
|
1333 |
+
}
|
checkpoint-100/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:108253c2924ab960b742973fd9045c7f43b2d39e8229930aed15fd573ed1620a
|
3 |
+
size 5752
|
checkpoint-100/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-200/added_tokens.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</tool_call>": 151658,
|
3 |
+
"<tool_call>": 151657,
|
4 |
+
"<|box_end|>": 151649,
|
5 |
+
"<|box_start|>": 151648,
|
6 |
+
"<|endoftext|>": 151643,
|
7 |
+
"<|file_sep|>": 151664,
|
8 |
+
"<|fim_middle|>": 151660,
|
9 |
+
"<|fim_pad|>": 151662,
|
10 |
+
"<|fim_prefix|>": 151659,
|
11 |
+
"<|fim_suffix|>": 151661,
|
12 |
+
"<|im_end|>": 151645,
|
13 |
+
"<|im_start|>": 151644,
|
14 |
+
"<|image_pad|>": 151655,
|
15 |
+
"<|object_ref_end|>": 151647,
|
16 |
+
"<|object_ref_start|>": 151646,
|
17 |
+
"<|quad_end|>": 151651,
|
18 |
+
"<|quad_start|>": 151650,
|
19 |
+
"<|repo_name|>": 151663,
|
20 |
+
"<|video_pad|>": 151656,
|
21 |
+
"<|vision_end|>": 151653,
|
22 |
+
"<|vision_pad|>": 151654,
|
23 |
+
"<|vision_start|>": 151652
|
24 |
+
}
|
checkpoint-200/config.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "tlrm/Q25-1.5B-UC",
|
3 |
+
"architectures": [
|
4 |
+
"Qwen2ForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 151643,
|
8 |
+
"eos_token_id": 151645,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 1536,
|
11 |
+
"id2label": {
|
12 |
+
"0": "LABEL_0"
|
13 |
+
},
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 8960,
|
16 |
+
"label2id": {
|
17 |
+
"LABEL_0": 0
|
18 |
+
},
|
19 |
+
"max_position_embeddings": 131072,
|
20 |
+
"max_window_layers": 28,
|
21 |
+
"model_type": "qwen2",
|
22 |
+
"num_attention_heads": 12,
|
23 |
+
"num_hidden_layers": 28,
|
24 |
+
"num_key_value_heads": 2,
|
25 |
+
"pad_token_id": 151643,
|
26 |
+
"rms_norm_eps": 1e-06,
|
27 |
+
"rope_scaling": null,
|
28 |
+
"rope_theta": 1000000.0,
|
29 |
+
"sliding_window": null,
|
30 |
+
"tie_word_embeddings": true,
|
31 |
+
"torch_dtype": "float32",
|
32 |
+
"transformers_version": "4.48.0",
|
33 |
+
"use_cache": false,
|
34 |
+
"use_mrope": false,
|
35 |
+
"use_sliding_window": false,
|
36 |
+
"vocab_size": 151936
|
37 |
+
}
|
checkpoint-200/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-200/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7f7a313fadbeaab077bf7642d9776d82daf5566fc279ce1957372387c8b487ca
|
3 |
+
size 4996670464
|
checkpoint-200/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:03447a5a071bf6fde38bd5019c4a7ecc2e58591d1e8e860ebe20a08d9f646ca3
|
3 |
+
size 1178231192
|
checkpoint-200/model.safetensors.index.json
ADDED
@@ -0,0 +1,346 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 6174863360
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
7 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
8 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
9 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
10 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
12 |
+
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
16 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
17 |
+
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
18 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
19 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
20 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
21 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
22 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
23 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
24 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
25 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
26 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
27 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
28 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
29 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
30 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
31 |
+
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
32 |
+
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
33 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
34 |
+
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
35 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
36 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
37 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
38 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
39 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
40 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
41 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
42 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
43 |
+
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
44 |
+
"model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
45 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
46 |
+
"model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
47 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
48 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
49 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
50 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
51 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
52 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
53 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
54 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
55 |
+
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
56 |
+
"model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
57 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
58 |
+
"model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
59 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
60 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
61 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
62 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
63 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
64 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
65 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
66 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
67 |
+
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
68 |
+
"model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
69 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
70 |
+
"model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
71 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
72 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
73 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
74 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
75 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
76 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
77 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
78 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
79 |
+
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
80 |
+
"model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
81 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
82 |
+
"model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
83 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
84 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
85 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
86 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
87 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
88 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
89 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
90 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
91 |
+
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
92 |
+
"model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
93 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
94 |
+
"model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
95 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
96 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
97 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
98 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
99 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
100 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
101 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
102 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
103 |
+
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
104 |
+
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
105 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
106 |
+
"model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
107 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
108 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
109 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
110 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
111 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
112 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
113 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
114 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
115 |
+
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
116 |
+
"model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
117 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
118 |
+
"model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
119 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
120 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
121 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
122 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
123 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
124 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
125 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
126 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
127 |
+
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
128 |
+
"model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
129 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
130 |
+
"model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
131 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
132 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
133 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
134 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
135 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
136 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
137 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
138 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
139 |
+
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
140 |
+
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
141 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
142 |
+
"model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
143 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
144 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
145 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
146 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
147 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
148 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
149 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
150 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
151 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
152 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
153 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
154 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
155 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
156 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
157 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
158 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
159 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
160 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
161 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
162 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
163 |
+
"model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
164 |
+
"model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
165 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
166 |
+
"model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
167 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
168 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
169 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
170 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
171 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
172 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
173 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
174 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
175 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
176 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
177 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
178 |
+
"model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
179 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
180 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
181 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
182 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
183 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
184 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
185 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
186 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
187 |
+
"model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
188 |
+
"model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
189 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
190 |
+
"model.layers.22.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
191 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
192 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
193 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
194 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
195 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
196 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
197 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
198 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
199 |
+
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
200 |
+
"model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
201 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
202 |
+
"model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
203 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
204 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
205 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
206 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
207 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
208 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
209 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
210 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
211 |
+
"model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
212 |
+
"model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
213 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
214 |
+
"model.layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
215 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
216 |
+
"model.layers.24.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
217 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
218 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
219 |
+
"model.layers.24.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
220 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
221 |
+
"model.layers.24.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
222 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
223 |
+
"model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
224 |
+
"model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
225 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
226 |
+
"model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
227 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
228 |
+
"model.layers.25.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
229 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
230 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
231 |
+
"model.layers.25.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
232 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
233 |
+
"model.layers.25.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
234 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
235 |
+
"model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
236 |
+
"model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
237 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
238 |
+
"model.layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
239 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
240 |
+
"model.layers.26.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
241 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
242 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
243 |
+
"model.layers.26.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
244 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
245 |
+
"model.layers.26.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
246 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
247 |
+
"model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
248 |
+
"model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
249 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
250 |
+
"model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
251 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
252 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
253 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
254 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
255 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
256 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
257 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
258 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
259 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
260 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
261 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
262 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
263 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
264 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
265 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
266 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
267 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
268 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
269 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
270 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
271 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
272 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
273 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
274 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
275 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
276 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
277 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
278 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
279 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
280 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
281 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
282 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
283 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
284 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
285 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
286 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
287 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
288 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
289 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
290 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
291 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
292 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
293 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
294 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
295 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
296 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
297 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
298 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
299 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
300 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
301 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
302 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
303 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
304 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
305 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
306 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
307 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
308 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
309 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
310 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
311 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
312 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
313 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
314 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
315 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
316 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
317 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
318 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
319 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
320 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
321 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
322 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
323 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
324 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
325 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
326 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
327 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
328 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
329 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
330 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
331 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
332 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
333 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
334 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
335 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
336 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
337 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
338 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
339 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
340 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
341 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
342 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
343 |
+
"model.norm.weight": "model-00002-of-00002.safetensors",
|
344 |
+
"score.weight": "model-00002-of-00002.safetensors"
|
345 |
+
}
|
346 |
+
}
|
checkpoint-200/special_tokens_map.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>",
|
5 |
+
"<|object_ref_start|>",
|
6 |
+
"<|object_ref_end|>",
|
7 |
+
"<|box_start|>",
|
8 |
+
"<|box_end|>",
|
9 |
+
"<|quad_start|>",
|
10 |
+
"<|quad_end|>",
|
11 |
+
"<|vision_start|>",
|
12 |
+
"<|vision_end|>",
|
13 |
+
"<|vision_pad|>",
|
14 |
+
"<|image_pad|>",
|
15 |
+
"<|video_pad|>"
|
16 |
+
],
|
17 |
+
"eos_token": {
|
18 |
+
"content": "<|im_end|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
},
|
24 |
+
"pad_token": {
|
25 |
+
"content": "<|endoftext|>",
|
26 |
+
"lstrip": false,
|
27 |
+
"normalized": false,
|
28 |
+
"rstrip": false,
|
29 |
+
"single_word": false
|
30 |
+
}
|
31 |
+
}
|
checkpoint-200/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
3 |
+
size 11421896
|
checkpoint-200/tokenizer_config.json
ADDED
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_prefix_space": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"151643": {
|
6 |
+
"content": "<|endoftext|>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"151644": {
|
14 |
+
"content": "<|im_start|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"151645": {
|
22 |
+
"content": "<|im_end|>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"151646": {
|
30 |
+
"content": "<|object_ref_start|>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"151647": {
|
38 |
+
"content": "<|object_ref_end|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"151648": {
|
46 |
+
"content": "<|box_start|>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"151649": {
|
54 |
+
"content": "<|box_end|>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
},
|
61 |
+
"151650": {
|
62 |
+
"content": "<|quad_start|>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": false,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": true
|
68 |
+
},
|
69 |
+
"151651": {
|
70 |
+
"content": "<|quad_end|>",
|
71 |
+
"lstrip": false,
|
72 |
+
"normalized": false,
|
73 |
+
"rstrip": false,
|
74 |
+
"single_word": false,
|
75 |
+
"special": true
|
76 |
+
},
|
77 |
+
"151652": {
|
78 |
+
"content": "<|vision_start|>",
|
79 |
+
"lstrip": false,
|
80 |
+
"normalized": false,
|
81 |
+
"rstrip": false,
|
82 |
+
"single_word": false,
|
83 |
+
"special": true
|
84 |
+
},
|
85 |
+
"151653": {
|
86 |
+
"content": "<|vision_end|>",
|
87 |
+
"lstrip": false,
|
88 |
+
"normalized": false,
|
89 |
+
"rstrip": false,
|
90 |
+
"single_word": false,
|
91 |
+
"special": true
|
92 |
+
},
|
93 |
+
"151654": {
|
94 |
+
"content": "<|vision_pad|>",
|
95 |
+
"lstrip": false,
|
96 |
+
"normalized": false,
|
97 |
+
"rstrip": false,
|
98 |
+
"single_word": false,
|
99 |
+
"special": true
|
100 |
+
},
|
101 |
+
"151655": {
|
102 |
+
"content": "<|image_pad|>",
|
103 |
+
"lstrip": false,
|
104 |
+
"normalized": false,
|
105 |
+
"rstrip": false,
|
106 |
+
"single_word": false,
|
107 |
+
"special": true
|
108 |
+
},
|
109 |
+
"151656": {
|
110 |
+
"content": "<|video_pad|>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": false,
|
113 |
+
"rstrip": false,
|
114 |
+
"single_word": false,
|
115 |
+
"special": true
|
116 |
+
},
|
117 |
+
"151657": {
|
118 |
+
"content": "<tool_call>",
|
119 |
+
"lstrip": false,
|
120 |
+
"normalized": false,
|
121 |
+
"rstrip": false,
|
122 |
+
"single_word": false,
|
123 |
+
"special": false
|
124 |
+
},
|
125 |
+
"151658": {
|
126 |
+
"content": "</tool_call>",
|
127 |
+
"lstrip": false,
|
128 |
+
"normalized": false,
|
129 |
+
"rstrip": false,
|
130 |
+
"single_word": false,
|
131 |
+
"special": false
|
132 |
+
},
|
133 |
+
"151659": {
|
134 |
+
"content": "<|fim_prefix|>",
|
135 |
+
"lstrip": false,
|
136 |
+
"normalized": false,
|
137 |
+
"rstrip": false,
|
138 |
+
"single_word": false,
|
139 |
+
"special": false
|
140 |
+
},
|
141 |
+
"151660": {
|
142 |
+
"content": "<|fim_middle|>",
|
143 |
+
"lstrip": false,
|
144 |
+
"normalized": false,
|
145 |
+
"rstrip": false,
|
146 |
+
"single_word": false,
|
147 |
+
"special": false
|
148 |
+
},
|
149 |
+
"151661": {
|
150 |
+
"content": "<|fim_suffix|>",
|
151 |
+
"lstrip": false,
|
152 |
+
"normalized": false,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": false
|
156 |
+
},
|
157 |
+
"151662": {
|
158 |
+
"content": "<|fim_pad|>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": false,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": false
|
164 |
+
},
|
165 |
+
"151663": {
|
166 |
+
"content": "<|repo_name|>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": false
|
172 |
+
},
|
173 |
+
"151664": {
|
174 |
+
"content": "<|file_sep|>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": false
|
180 |
+
}
|
181 |
+
},
|
182 |
+
"additional_special_tokens": [
|
183 |
+
"<|im_start|>",
|
184 |
+
"<|im_end|>",
|
185 |
+
"<|object_ref_start|>",
|
186 |
+
"<|object_ref_end|>",
|
187 |
+
"<|box_start|>",
|
188 |
+
"<|box_end|>",
|
189 |
+
"<|quad_start|>",
|
190 |
+
"<|quad_end|>",
|
191 |
+
"<|vision_start|>",
|
192 |
+
"<|vision_end|>",
|
193 |
+
"<|vision_pad|>",
|
194 |
+
"<|image_pad|>",
|
195 |
+
"<|video_pad|>"
|
196 |
+
],
|
197 |
+
"bos_token": null,
|
198 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
199 |
+
"clean_up_tokenization_spaces": false,
|
200 |
+
"eos_token": "<|im_end|>",
|
201 |
+
"errors": "replace",
|
202 |
+
"extra_special_tokens": {},
|
203 |
+
"model_max_length": 131072,
|
204 |
+
"pad_token": "<|endoftext|>",
|
205 |
+
"split_special_tokens": false,
|
206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
207 |
+
"unk_token": null
|
208 |
+
}
|
checkpoint-200/trainer_state.json
ADDED
@@ -0,0 +1,2633 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.5,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 200,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"Batch Mean": 0.8096684217453003,
|
13 |
+
"accuracy": 0.625,
|
14 |
+
"epoch": 0,
|
15 |
+
"step": 0
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.0025,
|
19 |
+
"grad_norm": 9.15977954864502,
|
20 |
+
"learning_rate": 2.5000000000000004e-07,
|
21 |
+
"loss": 0.6694,
|
22 |
+
"step": 1
|
23 |
+
},
|
24 |
+
{
|
25 |
+
"Batch Mean": 0.8517913818359375,
|
26 |
+
"accuracy": 0.5234375,
|
27 |
+
"epoch": 0.0025,
|
28 |
+
"step": 1
|
29 |
+
},
|
30 |
+
{
|
31 |
+
"epoch": 0.005,
|
32 |
+
"grad_norm": 9.550761222839355,
|
33 |
+
"learning_rate": 5.000000000000001e-07,
|
34 |
+
"loss": 0.7001,
|
35 |
+
"step": 2
|
36 |
+
},
|
37 |
+
{
|
38 |
+
"Batch Mean": 0.8251190185546875,
|
39 |
+
"accuracy": 0.4921875,
|
40 |
+
"epoch": 0.005,
|
41 |
+
"step": 2
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 0.0075,
|
45 |
+
"grad_norm": 10.096807479858398,
|
46 |
+
"learning_rate": 7.5e-07,
|
47 |
+
"loss": 0.7277,
|
48 |
+
"step": 3
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"Batch Mean": 0.8156070709228516,
|
52 |
+
"accuracy": 0.515625,
|
53 |
+
"epoch": 0.0075,
|
54 |
+
"step": 3
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.01,
|
58 |
+
"grad_norm": 10.845061302185059,
|
59 |
+
"learning_rate": 1.0000000000000002e-06,
|
60 |
+
"loss": 0.7116,
|
61 |
+
"step": 4
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"Batch Mean": 0.772618293762207,
|
65 |
+
"accuracy": 0.53125,
|
66 |
+
"epoch": 0.01,
|
67 |
+
"step": 4
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"epoch": 0.0125,
|
71 |
+
"grad_norm": 10.683115005493164,
|
72 |
+
"learning_rate": 1.25e-06,
|
73 |
+
"loss": 0.7074,
|
74 |
+
"step": 5
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"Batch Mean": 0.7320594787597656,
|
78 |
+
"accuracy": 0.5390625,
|
79 |
+
"epoch": 0.0125,
|
80 |
+
"step": 5
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.015,
|
84 |
+
"grad_norm": 9.102219581604004,
|
85 |
+
"learning_rate": 1.5e-06,
|
86 |
+
"loss": 0.6964,
|
87 |
+
"step": 6
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"Batch Mean": 0.639228105545044,
|
91 |
+
"accuracy": 0.5703125,
|
92 |
+
"epoch": 0.015,
|
93 |
+
"step": 6
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.0175,
|
97 |
+
"grad_norm": 10.126181602478027,
|
98 |
+
"learning_rate": 1.75e-06,
|
99 |
+
"loss": 0.6981,
|
100 |
+
"step": 7
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"Batch Mean": 0.28215163946151733,
|
104 |
+
"accuracy": 0.6015625,
|
105 |
+
"epoch": 0.0175,
|
106 |
+
"step": 7
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 0.02,
|
110 |
+
"grad_norm": 6.3671040534973145,
|
111 |
+
"learning_rate": 2.0000000000000003e-06,
|
112 |
+
"loss": 0.6668,
|
113 |
+
"step": 8
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"Batch Mean": 0.10402120649814606,
|
117 |
+
"accuracy": 0.5234375,
|
118 |
+
"epoch": 0.02,
|
119 |
+
"step": 8
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 0.0225,
|
123 |
+
"grad_norm": 6.053694248199463,
|
124 |
+
"learning_rate": 2.25e-06,
|
125 |
+
"loss": 0.6907,
|
126 |
+
"step": 9
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"Batch Mean": -0.794627845287323,
|
130 |
+
"accuracy": 0.5234375,
|
131 |
+
"epoch": 0.0225,
|
132 |
+
"step": 9
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"epoch": 0.025,
|
136 |
+
"grad_norm": 9.284210205078125,
|
137 |
+
"learning_rate": 2.5e-06,
|
138 |
+
"loss": 0.6879,
|
139 |
+
"step": 10
|
140 |
+
},
|
141 |
+
{
|
142 |
+
"Batch Mean": -1.1373445987701416,
|
143 |
+
"accuracy": 0.59375,
|
144 |
+
"epoch": 0.025,
|
145 |
+
"step": 10
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 0.0275,
|
149 |
+
"grad_norm": 13.110421180725098,
|
150 |
+
"learning_rate": 2.7500000000000004e-06,
|
151 |
+
"loss": 0.6954,
|
152 |
+
"step": 11
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"Batch Mean": -1.2041501998901367,
|
156 |
+
"accuracy": 0.59375,
|
157 |
+
"epoch": 0.0275,
|
158 |
+
"step": 11
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.03,
|
162 |
+
"grad_norm": 13.619694709777832,
|
163 |
+
"learning_rate": 3e-06,
|
164 |
+
"loss": 0.7004,
|
165 |
+
"step": 12
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"Batch Mean": -1.1390533447265625,
|
169 |
+
"accuracy": 0.65625,
|
170 |
+
"epoch": 0.03,
|
171 |
+
"step": 12
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.0325,
|
175 |
+
"grad_norm": 16.698774337768555,
|
176 |
+
"learning_rate": 3.2500000000000002e-06,
|
177 |
+
"loss": 0.6691,
|
178 |
+
"step": 13
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"Batch Mean": -1.2006721496582031,
|
182 |
+
"accuracy": 0.6953125,
|
183 |
+
"epoch": 0.0325,
|
184 |
+
"step": 13
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.035,
|
188 |
+
"grad_norm": 13.031152725219727,
|
189 |
+
"learning_rate": 3.5e-06,
|
190 |
+
"loss": 0.6749,
|
191 |
+
"step": 14
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"Batch Mean": -1.1018962860107422,
|
195 |
+
"accuracy": 0.6484375,
|
196 |
+
"epoch": 0.035,
|
197 |
+
"step": 14
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 0.0375,
|
201 |
+
"grad_norm": 11.913775444030762,
|
202 |
+
"learning_rate": 3.7500000000000005e-06,
|
203 |
+
"loss": 0.6517,
|
204 |
+
"step": 15
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"Batch Mean": -0.8371965289115906,
|
208 |
+
"accuracy": 0.65625,
|
209 |
+
"epoch": 0.0375,
|
210 |
+
"step": 15
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 0.04,
|
214 |
+
"grad_norm": 9.776491165161133,
|
215 |
+
"learning_rate": 4.000000000000001e-06,
|
216 |
+
"loss": 0.6435,
|
217 |
+
"step": 16
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"Batch Mean": -0.25420451164245605,
|
221 |
+
"accuracy": 0.65625,
|
222 |
+
"epoch": 0.04,
|
223 |
+
"step": 16
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 0.0425,
|
227 |
+
"grad_norm": 5.094934940338135,
|
228 |
+
"learning_rate": 4.25e-06,
|
229 |
+
"loss": 0.6352,
|
230 |
+
"step": 17
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"Batch Mean": 0.45112472772598267,
|
234 |
+
"accuracy": 0.625,
|
235 |
+
"epoch": 0.0425,
|
236 |
+
"step": 17
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.045,
|
240 |
+
"grad_norm": 6.203393459320068,
|
241 |
+
"learning_rate": 4.5e-06,
|
242 |
+
"loss": 0.6305,
|
243 |
+
"step": 18
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"Batch Mean": 1.0782840251922607,
|
247 |
+
"accuracy": 0.640625,
|
248 |
+
"epoch": 0.045,
|
249 |
+
"step": 18
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.0475,
|
253 |
+
"grad_norm": 11.932191848754883,
|
254 |
+
"learning_rate": 4.75e-06,
|
255 |
+
"loss": 0.6401,
|
256 |
+
"step": 19
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"Batch Mean": 1.6000666618347168,
|
260 |
+
"accuracy": 0.65625,
|
261 |
+
"epoch": 0.0475,
|
262 |
+
"step": 19
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.05,
|
266 |
+
"grad_norm": 18.466459274291992,
|
267 |
+
"learning_rate": 5e-06,
|
268 |
+
"loss": 0.6928,
|
269 |
+
"step": 20
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"Batch Mean": 1.6292922496795654,
|
273 |
+
"accuracy": 0.65625,
|
274 |
+
"epoch": 0.05,
|
275 |
+
"step": 20
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.0525,
|
279 |
+
"grad_norm": 18.958446502685547,
|
280 |
+
"learning_rate": 4.986842105263158e-06,
|
281 |
+
"loss": 0.6456,
|
282 |
+
"step": 21
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"Batch Mean": 1.0992889404296875,
|
286 |
+
"accuracy": 0.7109375,
|
287 |
+
"epoch": 0.0525,
|
288 |
+
"step": 21
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 0.055,
|
292 |
+
"grad_norm": 12.98255443572998,
|
293 |
+
"learning_rate": 4.973684210526316e-06,
|
294 |
+
"loss": 0.606,
|
295 |
+
"step": 22
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"Batch Mean": 0.33066248893737793,
|
299 |
+
"accuracy": 0.703125,
|
300 |
+
"epoch": 0.055,
|
301 |
+
"step": 22
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 0.0575,
|
305 |
+
"grad_norm": 6.1022725105285645,
|
306 |
+
"learning_rate": 4.960526315789474e-06,
|
307 |
+
"loss": 0.5807,
|
308 |
+
"step": 23
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"Batch Mean": -0.7870486974716187,
|
312 |
+
"accuracy": 0.7109375,
|
313 |
+
"epoch": 0.0575,
|
314 |
+
"step": 23
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.06,
|
318 |
+
"grad_norm": 9.311738014221191,
|
319 |
+
"learning_rate": 4.947368421052632e-06,
|
320 |
+
"loss": 0.5331,
|
321 |
+
"step": 24
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"Batch Mean": -1.2838190793991089,
|
325 |
+
"accuracy": 0.6484375,
|
326 |
+
"epoch": 0.06,
|
327 |
+
"step": 24
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.0625,
|
331 |
+
"grad_norm": 13.955443382263184,
|
332 |
+
"learning_rate": 4.9342105263157895e-06,
|
333 |
+
"loss": 0.6186,
|
334 |
+
"step": 25
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"Batch Mean": -1.324391484260559,
|
338 |
+
"accuracy": 0.6953125,
|
339 |
+
"epoch": 0.0625,
|
340 |
+
"step": 25
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 0.065,
|
344 |
+
"grad_norm": 14.612135887145996,
|
345 |
+
"learning_rate": 4.921052631578948e-06,
|
346 |
+
"loss": 0.5325,
|
347 |
+
"step": 26
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"Batch Mean": -0.7885305881500244,
|
351 |
+
"accuracy": 0.7109375,
|
352 |
+
"epoch": 0.065,
|
353 |
+
"step": 26
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.0675,
|
357 |
+
"grad_norm": 9.373554229736328,
|
358 |
+
"learning_rate": 4.907894736842106e-06,
|
359 |
+
"loss": 0.5549,
|
360 |
+
"step": 27
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"Batch Mean": -0.25717926025390625,
|
364 |
+
"accuracy": 0.6953125,
|
365 |
+
"epoch": 0.0675,
|
366 |
+
"step": 27
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.07,
|
370 |
+
"grad_norm": 5.559288501739502,
|
371 |
+
"learning_rate": 4.894736842105264e-06,
|
372 |
+
"loss": 0.572,
|
373 |
+
"step": 28
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"Batch Mean": 0.7993221282958984,
|
377 |
+
"accuracy": 0.6171875,
|
378 |
+
"epoch": 0.07,
|
379 |
+
"step": 28
|
380 |
+
},
|
381 |
+
{
|
382 |
+
"epoch": 0.0725,
|
383 |
+
"grad_norm": 10.778632164001465,
|
384 |
+
"learning_rate": 4.881578947368422e-06,
|
385 |
+
"loss": 0.6806,
|
386 |
+
"step": 29
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"Batch Mean": 1.2803305387496948,
|
390 |
+
"accuracy": 0.6796875,
|
391 |
+
"epoch": 0.0725,
|
392 |
+
"step": 29
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.075,
|
396 |
+
"grad_norm": 14.314054489135742,
|
397 |
+
"learning_rate": 4.8684210526315795e-06,
|
398 |
+
"loss": 0.641,
|
399 |
+
"step": 30
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"Batch Mean": 1.1847546100616455,
|
403 |
+
"accuracy": 0.7890625,
|
404 |
+
"epoch": 0.075,
|
405 |
+
"step": 30
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.0775,
|
409 |
+
"grad_norm": 12.86508846282959,
|
410 |
+
"learning_rate": 4.855263157894737e-06,
|
411 |
+
"loss": 0.5118,
|
412 |
+
"step": 31
|
413 |
+
},
|
414 |
+
{
|
415 |
+
"Batch Mean": 0.7971279621124268,
|
416 |
+
"accuracy": 0.734375,
|
417 |
+
"epoch": 0.0775,
|
418 |
+
"step": 31
|
419 |
+
},
|
420 |
+
{
|
421 |
+
"epoch": 0.08,
|
422 |
+
"grad_norm": 8.987775802612305,
|
423 |
+
"learning_rate": 4.842105263157895e-06,
|
424 |
+
"loss": 0.5508,
|
425 |
+
"step": 32
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"Batch Mean": -0.12238264083862305,
|
429 |
+
"accuracy": 0.671875,
|
430 |
+
"epoch": 0.08,
|
431 |
+
"step": 32
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.0825,
|
435 |
+
"grad_norm": 4.265674591064453,
|
436 |
+
"learning_rate": 4.828947368421053e-06,
|
437 |
+
"loss": 0.5533,
|
438 |
+
"step": 33
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"Batch Mean": -0.7733749151229858,
|
442 |
+
"accuracy": 0.7265625,
|
443 |
+
"epoch": 0.0825,
|
444 |
+
"step": 33
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.085,
|
448 |
+
"grad_norm": 9.074788093566895,
|
449 |
+
"learning_rate": 4.815789473684211e-06,
|
450 |
+
"loss": 0.5455,
|
451 |
+
"step": 34
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"Batch Mean": -0.9033082723617554,
|
455 |
+
"accuracy": 0.7578125,
|
456 |
+
"epoch": 0.085,
|
457 |
+
"step": 34
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.0875,
|
461 |
+
"grad_norm": 10.331607818603516,
|
462 |
+
"learning_rate": 4.802631578947369e-06,
|
463 |
+
"loss": 0.5539,
|
464 |
+
"step": 35
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"Batch Mean": -0.5780456066131592,
|
468 |
+
"accuracy": 0.7265625,
|
469 |
+
"epoch": 0.0875,
|
470 |
+
"step": 35
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 0.09,
|
474 |
+
"grad_norm": 7.254377365112305,
|
475 |
+
"learning_rate": 4.789473684210527e-06,
|
476 |
+
"loss": 0.547,
|
477 |
+
"step": 36
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"Batch Mean": 0.09664157032966614,
|
481 |
+
"accuracy": 0.6953125,
|
482 |
+
"epoch": 0.09,
|
483 |
+
"step": 36
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 0.0925,
|
487 |
+
"grad_norm": 3.9853391647338867,
|
488 |
+
"learning_rate": 4.7763157894736844e-06,
|
489 |
+
"loss": 0.5451,
|
490 |
+
"step": 37
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"Batch Mean": 0.5406360626220703,
|
494 |
+
"accuracy": 0.7265625,
|
495 |
+
"epoch": 0.0925,
|
496 |
+
"step": 37
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 0.095,
|
500 |
+
"grad_norm": 7.308631896972656,
|
501 |
+
"learning_rate": 4.763157894736842e-06,
|
502 |
+
"loss": 0.5313,
|
503 |
+
"step": 38
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"Batch Mean": 0.6023058891296387,
|
507 |
+
"accuracy": 0.7890625,
|
508 |
+
"epoch": 0.095,
|
509 |
+
"step": 38
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 0.0975,
|
513 |
+
"grad_norm": 7.4278717041015625,
|
514 |
+
"learning_rate": 4.75e-06,
|
515 |
+
"loss": 0.5145,
|
516 |
+
"step": 39
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"Batch Mean": 0.23680943250656128,
|
520 |
+
"accuracy": 0.7890625,
|
521 |
+
"epoch": 0.0975,
|
522 |
+
"step": 39
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 0.1,
|
526 |
+
"grad_norm": 5.057112693786621,
|
527 |
+
"learning_rate": 4.736842105263158e-06,
|
528 |
+
"loss": 0.4793,
|
529 |
+
"step": 40
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"Batch Mean": -0.2819175720214844,
|
533 |
+
"accuracy": 0.75,
|
534 |
+
"epoch": 0.1,
|
535 |
+
"step": 40
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.1025,
|
539 |
+
"grad_norm": 5.986076831817627,
|
540 |
+
"learning_rate": 4.723684210526316e-06,
|
541 |
+
"loss": 0.4989,
|
542 |
+
"step": 41
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"Batch Mean": -0.2952081263065338,
|
546 |
+
"accuracy": 0.765625,
|
547 |
+
"epoch": 0.1025,
|
548 |
+
"step": 41
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.105,
|
552 |
+
"grad_norm": 6.123879432678223,
|
553 |
+
"learning_rate": 4.710526315789474e-06,
|
554 |
+
"loss": 0.4959,
|
555 |
+
"step": 42
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"Batch Mean": -0.5327777862548828,
|
559 |
+
"accuracy": 0.8359375,
|
560 |
+
"epoch": 0.105,
|
561 |
+
"step": 42
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.1075,
|
565 |
+
"grad_norm": 7.773658752441406,
|
566 |
+
"learning_rate": 4.697368421052632e-06,
|
567 |
+
"loss": 0.4501,
|
568 |
+
"step": 43
|
569 |
+
},
|
570 |
+
{
|
571 |
+
"Batch Mean": -0.00808095932006836,
|
572 |
+
"accuracy": 0.7265625,
|
573 |
+
"epoch": 0.1075,
|
574 |
+
"step": 43
|
575 |
+
},
|
576 |
+
{
|
577 |
+
"epoch": 0.11,
|
578 |
+
"grad_norm": 6.165060520172119,
|
579 |
+
"learning_rate": 4.68421052631579e-06,
|
580 |
+
"loss": 0.4952,
|
581 |
+
"step": 44
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"Batch Mean": 0.23638486862182617,
|
585 |
+
"accuracy": 0.7109375,
|
586 |
+
"epoch": 0.11,
|
587 |
+
"step": 44
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 0.1125,
|
591 |
+
"grad_norm": 6.963595390319824,
|
592 |
+
"learning_rate": 4.671052631578948e-06,
|
593 |
+
"loss": 0.5261,
|
594 |
+
"step": 45
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"Batch Mean": 0.07831740379333496,
|
598 |
+
"accuracy": 0.8125,
|
599 |
+
"epoch": 0.1125,
|
600 |
+
"step": 45
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 0.115,
|
604 |
+
"grad_norm": 5.393492221832275,
|
605 |
+
"learning_rate": 4.657894736842106e-06,
|
606 |
+
"loss": 0.405,
|
607 |
+
"step": 46
|
608 |
+
},
|
609 |
+
{
|
610 |
+
"Batch Mean": 0.10195636749267578,
|
611 |
+
"accuracy": 0.75,
|
612 |
+
"epoch": 0.115,
|
613 |
+
"step": 46
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 0.1175,
|
617 |
+
"grad_norm": 9.352888107299805,
|
618 |
+
"learning_rate": 4.6447368421052635e-06,
|
619 |
+
"loss": 0.5726,
|
620 |
+
"step": 47
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"Batch Mean": 0.4460281729698181,
|
624 |
+
"accuracy": 0.7578125,
|
625 |
+
"epoch": 0.1175,
|
626 |
+
"step": 47
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.12,
|
630 |
+
"grad_norm": 9.130428314208984,
|
631 |
+
"learning_rate": 4.631578947368421e-06,
|
632 |
+
"loss": 0.5347,
|
633 |
+
"step": 48
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"Batch Mean": -0.2610776424407959,
|
637 |
+
"accuracy": 0.796875,
|
638 |
+
"epoch": 0.12,
|
639 |
+
"step": 48
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.1225,
|
643 |
+
"grad_norm": 6.863037586212158,
|
644 |
+
"learning_rate": 4.618421052631579e-06,
|
645 |
+
"loss": 0.4456,
|
646 |
+
"step": 49
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"Batch Mean": -0.19384944438934326,
|
650 |
+
"accuracy": 0.6328125,
|
651 |
+
"epoch": 0.1225,
|
652 |
+
"step": 49
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 0.125,
|
656 |
+
"grad_norm": 6.617422103881836,
|
657 |
+
"learning_rate": 4.605263157894737e-06,
|
658 |
+
"loss": 0.5905,
|
659 |
+
"step": 50
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"Batch Mean": -0.4514150619506836,
|
663 |
+
"accuracy": 0.7890625,
|
664 |
+
"epoch": 0.125,
|
665 |
+
"step": 50
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 0.1275,
|
669 |
+
"grad_norm": 7.564980506896973,
|
670 |
+
"learning_rate": 4.592105263157895e-06,
|
671 |
+
"loss": 0.4885,
|
672 |
+
"step": 51
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"Batch Mean": -0.003515481948852539,
|
676 |
+
"accuracy": 0.734375,
|
677 |
+
"epoch": 0.1275,
|
678 |
+
"step": 51
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 0.13,
|
682 |
+
"grad_norm": 5.258878707885742,
|
683 |
+
"learning_rate": 4.578947368421053e-06,
|
684 |
+
"loss": 0.5032,
|
685 |
+
"step": 52
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"Batch Mean": -0.10907495021820068,
|
689 |
+
"accuracy": 0.71875,
|
690 |
+
"epoch": 0.13,
|
691 |
+
"step": 52
|
692 |
+
},
|
693 |
+
{
|
694 |
+
"epoch": 0.1325,
|
695 |
+
"grad_norm": 5.931639194488525,
|
696 |
+
"learning_rate": 4.565789473684211e-06,
|
697 |
+
"loss": 0.542,
|
698 |
+
"step": 53
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"Batch Mean": 0.46248769760131836,
|
702 |
+
"accuracy": 0.7890625,
|
703 |
+
"epoch": 0.1325,
|
704 |
+
"step": 53
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.135,
|
708 |
+
"grad_norm": 7.1796112060546875,
|
709 |
+
"learning_rate": 4.552631578947369e-06,
|
710 |
+
"loss": 0.4685,
|
711 |
+
"step": 54
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"Batch Mean": 0.1234641969203949,
|
715 |
+
"accuracy": 0.7265625,
|
716 |
+
"epoch": 0.135,
|
717 |
+
"step": 54
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.1375,
|
721 |
+
"grad_norm": 6.273733139038086,
|
722 |
+
"learning_rate": 4.539473684210527e-06,
|
723 |
+
"loss": 0.4989,
|
724 |
+
"step": 55
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"Batch Mean": -0.15052831172943115,
|
728 |
+
"accuracy": 0.78125,
|
729 |
+
"epoch": 0.1375,
|
730 |
+
"step": 55
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.14,
|
734 |
+
"grad_norm": 5.630648612976074,
|
735 |
+
"learning_rate": 4.526315789473685e-06,
|
736 |
+
"loss": 0.4518,
|
737 |
+
"step": 56
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"Batch Mean": 0.10203218460083008,
|
741 |
+
"accuracy": 0.75,
|
742 |
+
"epoch": 0.14,
|
743 |
+
"step": 56
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 0.1425,
|
747 |
+
"grad_norm": 5.465209484100342,
|
748 |
+
"learning_rate": 4.513157894736843e-06,
|
749 |
+
"loss": 0.4775,
|
750 |
+
"step": 57
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"Batch Mean": -0.2146952748298645,
|
754 |
+
"accuracy": 0.7578125,
|
755 |
+
"epoch": 0.1425,
|
756 |
+
"step": 57
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 0.145,
|
760 |
+
"grad_norm": 5.516883373260498,
|
761 |
+
"learning_rate": 4.5e-06,
|
762 |
+
"loss": 0.4672,
|
763 |
+
"step": 58
|
764 |
+
},
|
765 |
+
{
|
766 |
+
"Batch Mean": 0.39426422119140625,
|
767 |
+
"accuracy": 0.7734375,
|
768 |
+
"epoch": 0.145,
|
769 |
+
"step": 58
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 0.1475,
|
773 |
+
"grad_norm": 6.986379146575928,
|
774 |
+
"learning_rate": 4.4868421052631584e-06,
|
775 |
+
"loss": 0.4851,
|
776 |
+
"step": 59
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"Batch Mean": 0.1964409053325653,
|
780 |
+
"accuracy": 0.75,
|
781 |
+
"epoch": 0.1475,
|
782 |
+
"step": 59
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 0.15,
|
786 |
+
"grad_norm": 6.413231372833252,
|
787 |
+
"learning_rate": 4.473684210526316e-06,
|
788 |
+
"loss": 0.5073,
|
789 |
+
"step": 60
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"Batch Mean": -0.21541327238082886,
|
793 |
+
"accuracy": 0.7890625,
|
794 |
+
"epoch": 0.15,
|
795 |
+
"step": 60
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 0.1525,
|
799 |
+
"grad_norm": 5.495061874389648,
|
800 |
+
"learning_rate": 4.460526315789474e-06,
|
801 |
+
"loss": 0.4751,
|
802 |
+
"step": 61
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"Batch Mean": -0.3059917688369751,
|
806 |
+
"accuracy": 0.7890625,
|
807 |
+
"epoch": 0.1525,
|
808 |
+
"step": 61
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 0.155,
|
812 |
+
"grad_norm": 6.379850387573242,
|
813 |
+
"learning_rate": 4.447368421052632e-06,
|
814 |
+
"loss": 0.4679,
|
815 |
+
"step": 62
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"Batch Mean": -0.5860270261764526,
|
819 |
+
"accuracy": 0.8046875,
|
820 |
+
"epoch": 0.155,
|
821 |
+
"step": 62
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.1575,
|
825 |
+
"grad_norm": 8.42182731628418,
|
826 |
+
"learning_rate": 4.43421052631579e-06,
|
827 |
+
"loss": 0.4152,
|
828 |
+
"step": 63
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"Batch Mean": 0.14216375350952148,
|
832 |
+
"accuracy": 0.7578125,
|
833 |
+
"epoch": 0.1575,
|
834 |
+
"step": 63
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 0.16,
|
838 |
+
"grad_norm": 6.759493827819824,
|
839 |
+
"learning_rate": 4.4210526315789476e-06,
|
840 |
+
"loss": 0.4852,
|
841 |
+
"step": 64
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"Batch Mean": 0.3515692353248596,
|
845 |
+
"accuracy": 0.796875,
|
846 |
+
"epoch": 0.16,
|
847 |
+
"step": 64
|
848 |
+
},
|
849 |
+
{
|
850 |
+
"epoch": 0.1625,
|
851 |
+
"grad_norm": 7.567401885986328,
|
852 |
+
"learning_rate": 4.407894736842105e-06,
|
853 |
+
"loss": 0.4449,
|
854 |
+
"step": 65
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"Batch Mean": 0.281324565410614,
|
858 |
+
"accuracy": 0.765625,
|
859 |
+
"epoch": 0.1625,
|
860 |
+
"step": 65
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 0.165,
|
864 |
+
"grad_norm": 7.912868022918701,
|
865 |
+
"learning_rate": 4.394736842105263e-06,
|
866 |
+
"loss": 0.5717,
|
867 |
+
"step": 66
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"Batch Mean": 0.07387387752532959,
|
871 |
+
"accuracy": 0.796875,
|
872 |
+
"epoch": 0.165,
|
873 |
+
"step": 66
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 0.1675,
|
877 |
+
"grad_norm": 5.737614631652832,
|
878 |
+
"learning_rate": 4.381578947368421e-06,
|
879 |
+
"loss": 0.4532,
|
880 |
+
"step": 67
|
881 |
+
},
|
882 |
+
{
|
883 |
+
"Batch Mean": -0.45137548446655273,
|
884 |
+
"accuracy": 0.7734375,
|
885 |
+
"epoch": 0.1675,
|
886 |
+
"step": 67
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 0.17,
|
890 |
+
"grad_norm": 9.204909324645996,
|
891 |
+
"learning_rate": 4.368421052631579e-06,
|
892 |
+
"loss": 0.501,
|
893 |
+
"step": 68
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"Batch Mean": -0.12238574028015137,
|
897 |
+
"accuracy": 0.828125,
|
898 |
+
"epoch": 0.17,
|
899 |
+
"step": 68
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 0.1725,
|
903 |
+
"grad_norm": 6.6219162940979,
|
904 |
+
"learning_rate": 4.3552631578947375e-06,
|
905 |
+
"loss": 0.416,
|
906 |
+
"step": 69
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"Batch Mean": 0.06974506378173828,
|
910 |
+
"accuracy": 0.78125,
|
911 |
+
"epoch": 0.1725,
|
912 |
+
"step": 69
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.175,
|
916 |
+
"grad_norm": 5.526142120361328,
|
917 |
+
"learning_rate": 4.342105263157895e-06,
|
918 |
+
"loss": 0.4364,
|
919 |
+
"step": 70
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"Batch Mean": 0.3401278257369995,
|
923 |
+
"accuracy": 0.8359375,
|
924 |
+
"epoch": 0.175,
|
925 |
+
"step": 70
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 0.1775,
|
929 |
+
"grad_norm": 6.567529678344727,
|
930 |
+
"learning_rate": 4.328947368421053e-06,
|
931 |
+
"loss": 0.4396,
|
932 |
+
"step": 71
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"Batch Mean": -0.12450069189071655,
|
936 |
+
"accuracy": 0.75,
|
937 |
+
"epoch": 0.1775,
|
938 |
+
"step": 71
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 0.18,
|
942 |
+
"grad_norm": 6.054138660430908,
|
943 |
+
"learning_rate": 4.315789473684211e-06,
|
944 |
+
"loss": 0.4604,
|
945 |
+
"step": 72
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"Batch Mean": 0.0036773681640625,
|
949 |
+
"accuracy": 0.7890625,
|
950 |
+
"epoch": 0.18,
|
951 |
+
"step": 72
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 0.1825,
|
955 |
+
"grad_norm": 6.112196445465088,
|
956 |
+
"learning_rate": 4.302631578947369e-06,
|
957 |
+
"loss": 0.4091,
|
958 |
+
"step": 73
|
959 |
+
},
|
960 |
+
{
|
961 |
+
"Batch Mean": -0.3432164192199707,
|
962 |
+
"accuracy": 0.7890625,
|
963 |
+
"epoch": 0.1825,
|
964 |
+
"step": 73
|
965 |
+
},
|
966 |
+
{
|
967 |
+
"epoch": 0.185,
|
968 |
+
"grad_norm": 6.806588649749756,
|
969 |
+
"learning_rate": 4.289473684210527e-06,
|
970 |
+
"loss": 0.4194,
|
971 |
+
"step": 74
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"Batch Mean": -0.10890483856201172,
|
975 |
+
"accuracy": 0.671875,
|
976 |
+
"epoch": 0.185,
|
977 |
+
"step": 74
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 0.1875,
|
981 |
+
"grad_norm": 7.000553131103516,
|
982 |
+
"learning_rate": 4.276315789473684e-06,
|
983 |
+
"loss": 0.5318,
|
984 |
+
"step": 75
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"Batch Mean": 0.6419280171394348,
|
988 |
+
"accuracy": 0.7265625,
|
989 |
+
"epoch": 0.1875,
|
990 |
+
"step": 75
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 0.19,
|
994 |
+
"grad_norm": 8.422764778137207,
|
995 |
+
"learning_rate": 4.2631578947368425e-06,
|
996 |
+
"loss": 0.4539,
|
997 |
+
"step": 76
|
998 |
+
},
|
999 |
+
{
|
1000 |
+
"Batch Mean": 0.28451067209243774,
|
1001 |
+
"accuracy": 0.7734375,
|
1002 |
+
"epoch": 0.19,
|
1003 |
+
"step": 76
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.1925,
|
1007 |
+
"grad_norm": 6.512566566467285,
|
1008 |
+
"learning_rate": 4.25e-06,
|
1009 |
+
"loss": 0.4522,
|
1010 |
+
"step": 77
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"Batch Mean": -0.07123541831970215,
|
1014 |
+
"accuracy": 0.8125,
|
1015 |
+
"epoch": 0.1925,
|
1016 |
+
"step": 77
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 0.195,
|
1020 |
+
"grad_norm": 6.979062080383301,
|
1021 |
+
"learning_rate": 4.236842105263158e-06,
|
1022 |
+
"loss": 0.4827,
|
1023 |
+
"step": 78
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"Batch Mean": -0.2889130115509033,
|
1027 |
+
"accuracy": 0.71875,
|
1028 |
+
"epoch": 0.195,
|
1029 |
+
"step": 78
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 0.1975,
|
1033 |
+
"grad_norm": 7.523491859436035,
|
1034 |
+
"learning_rate": 4.223684210526316e-06,
|
1035 |
+
"loss": 0.4501,
|
1036 |
+
"step": 79
|
1037 |
+
},
|
1038 |
+
{
|
1039 |
+
"Batch Mean": -0.2912619113922119,
|
1040 |
+
"accuracy": 0.8046875,
|
1041 |
+
"epoch": 0.1975,
|
1042 |
+
"step": 79
|
1043 |
+
},
|
1044 |
+
{
|
1045 |
+
"epoch": 0.2,
|
1046 |
+
"grad_norm": 6.1573662757873535,
|
1047 |
+
"learning_rate": 4.210526315789474e-06,
|
1048 |
+
"loss": 0.4537,
|
1049 |
+
"step": 80
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"Batch Mean": 0.07626897096633911,
|
1053 |
+
"accuracy": 0.84375,
|
1054 |
+
"epoch": 0.2,
|
1055 |
+
"step": 80
|
1056 |
+
},
|
1057 |
+
{
|
1058 |
+
"epoch": 0.2025,
|
1059 |
+
"grad_norm": 5.308783054351807,
|
1060 |
+
"learning_rate": 4.197368421052632e-06,
|
1061 |
+
"loss": 0.3777,
|
1062 |
+
"step": 81
|
1063 |
+
},
|
1064 |
+
{
|
1065 |
+
"Batch Mean": 0.44231414794921875,
|
1066 |
+
"accuracy": 0.78125,
|
1067 |
+
"epoch": 0.2025,
|
1068 |
+
"step": 81
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 0.205,
|
1072 |
+
"grad_norm": 7.6725969314575195,
|
1073 |
+
"learning_rate": 4.18421052631579e-06,
|
1074 |
+
"loss": 0.4681,
|
1075 |
+
"step": 82
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"Batch Mean": 0.05066095292568207,
|
1079 |
+
"accuracy": 0.7734375,
|
1080 |
+
"epoch": 0.205,
|
1081 |
+
"step": 82
|
1082 |
+
},
|
1083 |
+
{
|
1084 |
+
"epoch": 0.2075,
|
1085 |
+
"grad_norm": 6.136054039001465,
|
1086 |
+
"learning_rate": 4.171052631578948e-06,
|
1087 |
+
"loss": 0.4111,
|
1088 |
+
"step": 83
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"Batch Mean": 0.11537289619445801,
|
1092 |
+
"accuracy": 0.8515625,
|
1093 |
+
"epoch": 0.2075,
|
1094 |
+
"step": 83
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.21,
|
1098 |
+
"grad_norm": 5.31056022644043,
|
1099 |
+
"learning_rate": 4.157894736842106e-06,
|
1100 |
+
"loss": 0.345,
|
1101 |
+
"step": 84
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"Batch Mean": 0.05826067924499512,
|
1105 |
+
"accuracy": 0.734375,
|
1106 |
+
"epoch": 0.21,
|
1107 |
+
"step": 84
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 0.2125,
|
1111 |
+
"grad_norm": 6.368407249450684,
|
1112 |
+
"learning_rate": 4.144736842105263e-06,
|
1113 |
+
"loss": 0.4834,
|
1114 |
+
"step": 85
|
1115 |
+
},
|
1116 |
+
{
|
1117 |
+
"Batch Mean": -0.05756664276123047,
|
1118 |
+
"accuracy": 0.75,
|
1119 |
+
"epoch": 0.2125,
|
1120 |
+
"step": 85
|
1121 |
+
},
|
1122 |
+
{
|
1123 |
+
"epoch": 0.215,
|
1124 |
+
"grad_norm": 7.063327312469482,
|
1125 |
+
"learning_rate": 4.1315789473684216e-06,
|
1126 |
+
"loss": 0.5013,
|
1127 |
+
"step": 86
|
1128 |
+
},
|
1129 |
+
{
|
1130 |
+
"Batch Mean": -0.08471214771270752,
|
1131 |
+
"accuracy": 0.8046875,
|
1132 |
+
"epoch": 0.215,
|
1133 |
+
"step": 86
|
1134 |
+
},
|
1135 |
+
{
|
1136 |
+
"epoch": 0.2175,
|
1137 |
+
"grad_norm": 6.508166313171387,
|
1138 |
+
"learning_rate": 4.118421052631579e-06,
|
1139 |
+
"loss": 0.4431,
|
1140 |
+
"step": 87
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"Batch Mean": -0.06070905923843384,
|
1144 |
+
"accuracy": 0.703125,
|
1145 |
+
"epoch": 0.2175,
|
1146 |
+
"step": 87
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 0.22,
|
1150 |
+
"grad_norm": 7.8081583976745605,
|
1151 |
+
"learning_rate": 4.105263157894737e-06,
|
1152 |
+
"loss": 0.5481,
|
1153 |
+
"step": 88
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"Batch Mean": -0.15125751495361328,
|
1157 |
+
"accuracy": 0.8046875,
|
1158 |
+
"epoch": 0.22,
|
1159 |
+
"step": 88
|
1160 |
+
},
|
1161 |
+
{
|
1162 |
+
"epoch": 0.2225,
|
1163 |
+
"grad_norm": 5.806808948516846,
|
1164 |
+
"learning_rate": 4.092105263157895e-06,
|
1165 |
+
"loss": 0.3994,
|
1166 |
+
"step": 89
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"Batch Mean": -0.0017851591110229492,
|
1170 |
+
"accuracy": 0.828125,
|
1171 |
+
"epoch": 0.2225,
|
1172 |
+
"step": 89
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 0.225,
|
1176 |
+
"grad_norm": 5.560466766357422,
|
1177 |
+
"learning_rate": 4.078947368421053e-06,
|
1178 |
+
"loss": 0.4,
|
1179 |
+
"step": 90
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"Batch Mean": 0.07748031616210938,
|
1183 |
+
"accuracy": 0.8046875,
|
1184 |
+
"epoch": 0.225,
|
1185 |
+
"step": 90
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.2275,
|
1189 |
+
"grad_norm": 5.754173278808594,
|
1190 |
+
"learning_rate": 4.065789473684211e-06,
|
1191 |
+
"loss": 0.4019,
|
1192 |
+
"step": 91
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"Batch Mean": -0.24073825776576996,
|
1196 |
+
"accuracy": 0.78125,
|
1197 |
+
"epoch": 0.2275,
|
1198 |
+
"step": 91
|
1199 |
+
},
|
1200 |
+
{
|
1201 |
+
"epoch": 0.23,
|
1202 |
+
"grad_norm": 6.231720447540283,
|
1203 |
+
"learning_rate": 4.052631578947368e-06,
|
1204 |
+
"loss": 0.4585,
|
1205 |
+
"step": 92
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"Batch Mean": -0.45170480012893677,
|
1209 |
+
"accuracy": 0.75,
|
1210 |
+
"epoch": 0.23,
|
1211 |
+
"step": 92
|
1212 |
+
},
|
1213 |
+
{
|
1214 |
+
"epoch": 0.2325,
|
1215 |
+
"grad_norm": 7.313357353210449,
|
1216 |
+
"learning_rate": 4.0394736842105265e-06,
|
1217 |
+
"loss": 0.4762,
|
1218 |
+
"step": 93
|
1219 |
+
},
|
1220 |
+
{
|
1221 |
+
"Batch Mean": 0.024792194366455078,
|
1222 |
+
"accuracy": 0.796875,
|
1223 |
+
"epoch": 0.2325,
|
1224 |
+
"step": 93
|
1225 |
+
},
|
1226 |
+
{
|
1227 |
+
"epoch": 0.235,
|
1228 |
+
"grad_norm": 4.933104515075684,
|
1229 |
+
"learning_rate": 4.026315789473684e-06,
|
1230 |
+
"loss": 0.4138,
|
1231 |
+
"step": 94
|
1232 |
+
},
|
1233 |
+
{
|
1234 |
+
"Batch Mean": -0.02751898765563965,
|
1235 |
+
"accuracy": 0.7421875,
|
1236 |
+
"epoch": 0.235,
|
1237 |
+
"step": 94
|
1238 |
+
},
|
1239 |
+
{
|
1240 |
+
"epoch": 0.2375,
|
1241 |
+
"grad_norm": 5.39032506942749,
|
1242 |
+
"learning_rate": 4.013157894736842e-06,
|
1243 |
+
"loss": 0.4787,
|
1244 |
+
"step": 95
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"Batch Mean": 0.06753873825073242,
|
1248 |
+
"accuracy": 0.8203125,
|
1249 |
+
"epoch": 0.2375,
|
1250 |
+
"step": 95
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 0.24,
|
1254 |
+
"grad_norm": 5.1791462898254395,
|
1255 |
+
"learning_rate": 4.000000000000001e-06,
|
1256 |
+
"loss": 0.4488,
|
1257 |
+
"step": 96
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"Batch Mean": 0.22616100311279297,
|
1261 |
+
"accuracy": 0.828125,
|
1262 |
+
"epoch": 0.24,
|
1263 |
+
"step": 96
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 0.2425,
|
1267 |
+
"grad_norm": 5.300809383392334,
|
1268 |
+
"learning_rate": 3.986842105263158e-06,
|
1269 |
+
"loss": 0.4142,
|
1270 |
+
"step": 97
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"Batch Mean": -0.15787070989608765,
|
1274 |
+
"accuracy": 0.8515625,
|
1275 |
+
"epoch": 0.2425,
|
1276 |
+
"step": 97
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.245,
|
1280 |
+
"grad_norm": 5.704384803771973,
|
1281 |
+
"learning_rate": 3.9736842105263165e-06,
|
1282 |
+
"loss": 0.3797,
|
1283 |
+
"step": 98
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"Batch Mean": 0.13187718391418457,
|
1287 |
+
"accuracy": 0.8046875,
|
1288 |
+
"epoch": 0.245,
|
1289 |
+
"step": 98
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 0.2475,
|
1293 |
+
"grad_norm": 6.045483589172363,
|
1294 |
+
"learning_rate": 3.960526315789474e-06,
|
1295 |
+
"loss": 0.5195,
|
1296 |
+
"step": 99
|
1297 |
+
},
|
1298 |
+
{
|
1299 |
+
"Batch Mean": -0.08533608913421631,
|
1300 |
+
"accuracy": 0.8203125,
|
1301 |
+
"epoch": 0.2475,
|
1302 |
+
"step": 99
|
1303 |
+
},
|
1304 |
+
{
|
1305 |
+
"epoch": 0.25,
|
1306 |
+
"grad_norm": 4.997817516326904,
|
1307 |
+
"learning_rate": 3.947368421052632e-06,
|
1308 |
+
"loss": 0.3816,
|
1309 |
+
"step": 100
|
1310 |
+
},
|
1311 |
+
{
|
1312 |
+
"Batch Mean": 0.028887659311294556,
|
1313 |
+
"accuracy": 0.7421875,
|
1314 |
+
"epoch": 0.25,
|
1315 |
+
"step": 100
|
1316 |
+
},
|
1317 |
+
{
|
1318 |
+
"epoch": 0.2525,
|
1319 |
+
"grad_norm": 5.863315105438232,
|
1320 |
+
"learning_rate": 3.93421052631579e-06,
|
1321 |
+
"loss": 0.478,
|
1322 |
+
"step": 101
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"Batch Mean": 0.17493167519569397,
|
1326 |
+
"accuracy": 0.796875,
|
1327 |
+
"epoch": 0.2525,
|
1328 |
+
"step": 101
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 0.255,
|
1332 |
+
"grad_norm": 5.986959934234619,
|
1333 |
+
"learning_rate": 3.921052631578947e-06,
|
1334 |
+
"loss": 0.4283,
|
1335 |
+
"step": 102
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"Batch Mean": 0.19265401363372803,
|
1339 |
+
"accuracy": 0.8125,
|
1340 |
+
"epoch": 0.255,
|
1341 |
+
"step": 102
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 0.2575,
|
1345 |
+
"grad_norm": 5.091299533843994,
|
1346 |
+
"learning_rate": 3.907894736842106e-06,
|
1347 |
+
"loss": 0.352,
|
1348 |
+
"step": 103
|
1349 |
+
},
|
1350 |
+
{
|
1351 |
+
"Batch Mean": -0.2604933977127075,
|
1352 |
+
"accuracy": 0.75,
|
1353 |
+
"epoch": 0.2575,
|
1354 |
+
"step": 103
|
1355 |
+
},
|
1356 |
+
{
|
1357 |
+
"epoch": 0.26,
|
1358 |
+
"grad_norm": 6.963299751281738,
|
1359 |
+
"learning_rate": 3.894736842105263e-06,
|
1360 |
+
"loss": 0.4583,
|
1361 |
+
"step": 104
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"Batch Mean": -0.21034908294677734,
|
1365 |
+
"accuracy": 0.7734375,
|
1366 |
+
"epoch": 0.26,
|
1367 |
+
"step": 104
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.2625,
|
1371 |
+
"grad_norm": 7.000269889831543,
|
1372 |
+
"learning_rate": 3.8815789473684214e-06,
|
1373 |
+
"loss": 0.3837,
|
1374 |
+
"step": 105
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"Batch Mean": -0.10478854179382324,
|
1378 |
+
"accuracy": 0.8359375,
|
1379 |
+
"epoch": 0.2625,
|
1380 |
+
"step": 105
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 0.265,
|
1384 |
+
"grad_norm": 6.25542688369751,
|
1385 |
+
"learning_rate": 3.868421052631579e-06,
|
1386 |
+
"loss": 0.3928,
|
1387 |
+
"step": 106
|
1388 |
+
},
|
1389 |
+
{
|
1390 |
+
"Batch Mean": 0.35255885124206543,
|
1391 |
+
"accuracy": 0.7734375,
|
1392 |
+
"epoch": 0.265,
|
1393 |
+
"step": 106
|
1394 |
+
},
|
1395 |
+
{
|
1396 |
+
"epoch": 0.2675,
|
1397 |
+
"grad_norm": 8.28545093536377,
|
1398 |
+
"learning_rate": 3.855263157894737e-06,
|
1399 |
+
"loss": 0.4785,
|
1400 |
+
"step": 107
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"Batch Mean": 0.4886665344238281,
|
1404 |
+
"accuracy": 0.7734375,
|
1405 |
+
"epoch": 0.2675,
|
1406 |
+
"step": 107
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 0.27,
|
1410 |
+
"grad_norm": 9.611257553100586,
|
1411 |
+
"learning_rate": 3.842105263157895e-06,
|
1412 |
+
"loss": 0.4635,
|
1413 |
+
"step": 108
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"Batch Mean": -0.06474494934082031,
|
1417 |
+
"accuracy": 0.8046875,
|
1418 |
+
"epoch": 0.27,
|
1419 |
+
"step": 108
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 0.2725,
|
1423 |
+
"grad_norm": 7.419112682342529,
|
1424 |
+
"learning_rate": 3.828947368421053e-06,
|
1425 |
+
"loss": 0.4225,
|
1426 |
+
"step": 109
|
1427 |
+
},
|
1428 |
+
{
|
1429 |
+
"Batch Mean": -0.12506628036499023,
|
1430 |
+
"accuracy": 0.8515625,
|
1431 |
+
"epoch": 0.2725,
|
1432 |
+
"step": 109
|
1433 |
+
},
|
1434 |
+
{
|
1435 |
+
"epoch": 0.275,
|
1436 |
+
"grad_norm": 6.5173020362854,
|
1437 |
+
"learning_rate": 3.815789473684211e-06,
|
1438 |
+
"loss": 0.3518,
|
1439 |
+
"step": 110
|
1440 |
+
},
|
1441 |
+
{
|
1442 |
+
"Batch Mean": -0.12815812230110168,
|
1443 |
+
"accuracy": 0.921875,
|
1444 |
+
"epoch": 0.275,
|
1445 |
+
"step": 110
|
1446 |
+
},
|
1447 |
+
{
|
1448 |
+
"epoch": 0.2775,
|
1449 |
+
"grad_norm": 5.361306667327881,
|
1450 |
+
"learning_rate": 3.802631578947369e-06,
|
1451 |
+
"loss": 0.269,
|
1452 |
+
"step": 111
|
1453 |
+
},
|
1454 |
+
{
|
1455 |
+
"Batch Mean": -0.20336151123046875,
|
1456 |
+
"accuracy": 0.890625,
|
1457 |
+
"epoch": 0.2775,
|
1458 |
+
"step": 111
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.28,
|
1462 |
+
"grad_norm": 6.405649662017822,
|
1463 |
+
"learning_rate": 3.789473684210527e-06,
|
1464 |
+
"loss": 0.2563,
|
1465 |
+
"step": 112
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"Batch Mean": 0.22764039039611816,
|
1469 |
+
"accuracy": 0.8203125,
|
1470 |
+
"epoch": 0.28,
|
1471 |
+
"step": 112
|
1472 |
+
},
|
1473 |
+
{
|
1474 |
+
"epoch": 0.2825,
|
1475 |
+
"grad_norm": 8.156770706176758,
|
1476 |
+
"learning_rate": 3.7763157894736847e-06,
|
1477 |
+
"loss": 0.4163,
|
1478 |
+
"step": 113
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"Batch Mean": 0.27307558059692383,
|
1482 |
+
"accuracy": 0.859375,
|
1483 |
+
"epoch": 0.2825,
|
1484 |
+
"step": 113
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 0.285,
|
1488 |
+
"grad_norm": 7.346747875213623,
|
1489 |
+
"learning_rate": 3.7631578947368426e-06,
|
1490 |
+
"loss": 0.3815,
|
1491 |
+
"step": 114
|
1492 |
+
},
|
1493 |
+
{
|
1494 |
+
"Batch Mean": 0.6259889602661133,
|
1495 |
+
"accuracy": 0.75,
|
1496 |
+
"epoch": 0.285,
|
1497 |
+
"step": 114
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 0.2875,
|
1501 |
+
"grad_norm": 12.56270980834961,
|
1502 |
+
"learning_rate": 3.7500000000000005e-06,
|
1503 |
+
"loss": 0.5411,
|
1504 |
+
"step": 115
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"Batch Mean": -0.13174670934677124,
|
1508 |
+
"accuracy": 0.8046875,
|
1509 |
+
"epoch": 0.2875,
|
1510 |
+
"step": 115
|
1511 |
+
},
|
1512 |
+
{
|
1513 |
+
"epoch": 0.29,
|
1514 |
+
"grad_norm": 7.563482761383057,
|
1515 |
+
"learning_rate": 3.736842105263158e-06,
|
1516 |
+
"loss": 0.4455,
|
1517 |
+
"step": 116
|
1518 |
+
},
|
1519 |
+
{
|
1520 |
+
"Batch Mean": -0.8023077249526978,
|
1521 |
+
"accuracy": 0.8046875,
|
1522 |
+
"epoch": 0.29,
|
1523 |
+
"step": 116
|
1524 |
+
},
|
1525 |
+
{
|
1526 |
+
"epoch": 0.2925,
|
1527 |
+
"grad_norm": 10.422194480895996,
|
1528 |
+
"learning_rate": 3.723684210526316e-06,
|
1529 |
+
"loss": 0.3826,
|
1530 |
+
"step": 117
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"Batch Mean": -0.7135447263717651,
|
1534 |
+
"accuracy": 0.796875,
|
1535 |
+
"epoch": 0.2925,
|
1536 |
+
"step": 117
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 0.295,
|
1540 |
+
"grad_norm": 9.252284049987793,
|
1541 |
+
"learning_rate": 3.710526315789474e-06,
|
1542 |
+
"loss": 0.4201,
|
1543 |
+
"step": 118
|
1544 |
+
},
|
1545 |
+
{
|
1546 |
+
"Batch Mean": -0.24731099605560303,
|
1547 |
+
"accuracy": 0.7578125,
|
1548 |
+
"epoch": 0.295,
|
1549 |
+
"step": 118
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.2975,
|
1553 |
+
"grad_norm": 6.945714473724365,
|
1554 |
+
"learning_rate": 3.6973684210526317e-06,
|
1555 |
+
"loss": 0.461,
|
1556 |
+
"step": 119
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"Batch Mean": 0.4304164946079254,
|
1560 |
+
"accuracy": 0.8359375,
|
1561 |
+
"epoch": 0.2975,
|
1562 |
+
"step": 119
|
1563 |
+
},
|
1564 |
+
{
|
1565 |
+
"epoch": 0.3,
|
1566 |
+
"grad_norm": 7.393038749694824,
|
1567 |
+
"learning_rate": 3.6842105263157896e-06,
|
1568 |
+
"loss": 0.3897,
|
1569 |
+
"step": 120
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"Batch Mean": 0.24881935119628906,
|
1573 |
+
"accuracy": 0.7890625,
|
1574 |
+
"epoch": 0.3,
|
1575 |
+
"step": 120
|
1576 |
+
},
|
1577 |
+
{
|
1578 |
+
"epoch": 0.3025,
|
1579 |
+
"grad_norm": 6.129741668701172,
|
1580 |
+
"learning_rate": 3.6710526315789476e-06,
|
1581 |
+
"loss": 0.3894,
|
1582 |
+
"step": 121
|
1583 |
+
},
|
1584 |
+
{
|
1585 |
+
"Batch Mean": 0.09764862060546875,
|
1586 |
+
"accuracy": 0.828125,
|
1587 |
+
"epoch": 0.3025,
|
1588 |
+
"step": 121
|
1589 |
+
},
|
1590 |
+
{
|
1591 |
+
"epoch": 0.305,
|
1592 |
+
"grad_norm": 5.265136241912842,
|
1593 |
+
"learning_rate": 3.657894736842106e-06,
|
1594 |
+
"loss": 0.3733,
|
1595 |
+
"step": 122
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"Batch Mean": 0.17956316471099854,
|
1599 |
+
"accuracy": 0.8046875,
|
1600 |
+
"epoch": 0.305,
|
1601 |
+
"step": 122
|
1602 |
+
},
|
1603 |
+
{
|
1604 |
+
"epoch": 0.3075,
|
1605 |
+
"grad_norm": 4.876620769500732,
|
1606 |
+
"learning_rate": 3.644736842105264e-06,
|
1607 |
+
"loss": 0.3689,
|
1608 |
+
"step": 123
|
1609 |
+
},
|
1610 |
+
{
|
1611 |
+
"Batch Mean": 0.19482755661010742,
|
1612 |
+
"accuracy": 0.8203125,
|
1613 |
+
"epoch": 0.3075,
|
1614 |
+
"step": 123
|
1615 |
+
},
|
1616 |
+
{
|
1617 |
+
"epoch": 0.31,
|
1618 |
+
"grad_norm": 6.0671162605285645,
|
1619 |
+
"learning_rate": 3.6315789473684217e-06,
|
1620 |
+
"loss": 0.4151,
|
1621 |
+
"step": 124
|
1622 |
+
},
|
1623 |
+
{
|
1624 |
+
"Batch Mean": -0.07992386817932129,
|
1625 |
+
"accuracy": 0.828125,
|
1626 |
+
"epoch": 0.31,
|
1627 |
+
"step": 124
|
1628 |
+
},
|
1629 |
+
{
|
1630 |
+
"epoch": 0.3125,
|
1631 |
+
"grad_norm": 5.630014419555664,
|
1632 |
+
"learning_rate": 3.618421052631579e-06,
|
1633 |
+
"loss": 0.406,
|
1634 |
+
"step": 125
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"Batch Mean": -0.01944279670715332,
|
1638 |
+
"accuracy": 0.8515625,
|
1639 |
+
"epoch": 0.3125,
|
1640 |
+
"step": 125
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.315,
|
1644 |
+
"grad_norm": 5.250101566314697,
|
1645 |
+
"learning_rate": 3.605263157894737e-06,
|
1646 |
+
"loss": 0.3816,
|
1647 |
+
"step": 126
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"Batch Mean": -0.18266761302947998,
|
1651 |
+
"accuracy": 0.8203125,
|
1652 |
+
"epoch": 0.315,
|
1653 |
+
"step": 126
|
1654 |
+
},
|
1655 |
+
{
|
1656 |
+
"epoch": 0.3175,
|
1657 |
+
"grad_norm": 6.644626617431641,
|
1658 |
+
"learning_rate": 3.592105263157895e-06,
|
1659 |
+
"loss": 0.4098,
|
1660 |
+
"step": 127
|
1661 |
+
},
|
1662 |
+
{
|
1663 |
+
"Batch Mean": 0.12618303298950195,
|
1664 |
+
"accuracy": 0.8359375,
|
1665 |
+
"epoch": 0.3175,
|
1666 |
+
"step": 127
|
1667 |
+
},
|
1668 |
+
{
|
1669 |
+
"epoch": 0.32,
|
1670 |
+
"grad_norm": 5.627920627593994,
|
1671 |
+
"learning_rate": 3.578947368421053e-06,
|
1672 |
+
"loss": 0.3854,
|
1673 |
+
"step": 128
|
1674 |
+
},
|
1675 |
+
{
|
1676 |
+
"Batch Mean": -0.33390331268310547,
|
1677 |
+
"accuracy": 0.8046875,
|
1678 |
+
"epoch": 0.32,
|
1679 |
+
"step": 128
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 0.3225,
|
1683 |
+
"grad_norm": 7.37267541885376,
|
1684 |
+
"learning_rate": 3.565789473684211e-06,
|
1685 |
+
"loss": 0.4615,
|
1686 |
+
"step": 129
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"Batch Mean": -0.06647157669067383,
|
1690 |
+
"accuracy": 0.8125,
|
1691 |
+
"epoch": 0.3225,
|
1692 |
+
"step": 129
|
1693 |
+
},
|
1694 |
+
{
|
1695 |
+
"epoch": 0.325,
|
1696 |
+
"grad_norm": 6.135495185852051,
|
1697 |
+
"learning_rate": 3.5526315789473687e-06,
|
1698 |
+
"loss": 0.3621,
|
1699 |
+
"step": 130
|
1700 |
+
},
|
1701 |
+
{
|
1702 |
+
"Batch Mean": 0.4405427575111389,
|
1703 |
+
"accuracy": 0.75,
|
1704 |
+
"epoch": 0.325,
|
1705 |
+
"step": 130
|
1706 |
+
},
|
1707 |
+
{
|
1708 |
+
"epoch": 0.3275,
|
1709 |
+
"grad_norm": 8.818106651306152,
|
1710 |
+
"learning_rate": 3.5394736842105266e-06,
|
1711 |
+
"loss": 0.5184,
|
1712 |
+
"step": 131
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"Batch Mean": -0.026287078857421875,
|
1716 |
+
"accuracy": 0.859375,
|
1717 |
+
"epoch": 0.3275,
|
1718 |
+
"step": 131
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 0.33,
|
1722 |
+
"grad_norm": 5.420790195465088,
|
1723 |
+
"learning_rate": 3.5263157894736846e-06,
|
1724 |
+
"loss": 0.329,
|
1725 |
+
"step": 132
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"Batch Mean": 0.05462455749511719,
|
1729 |
+
"accuracy": 0.796875,
|
1730 |
+
"epoch": 0.33,
|
1731 |
+
"step": 132
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.3325,
|
1735 |
+
"grad_norm": 6.507498264312744,
|
1736 |
+
"learning_rate": 3.513157894736842e-06,
|
1737 |
+
"loss": 0.4115,
|
1738 |
+
"step": 133
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"Batch Mean": -0.24898433685302734,
|
1742 |
+
"accuracy": 0.765625,
|
1743 |
+
"epoch": 0.3325,
|
1744 |
+
"step": 133
|
1745 |
+
},
|
1746 |
+
{
|
1747 |
+
"epoch": 0.335,
|
1748 |
+
"grad_norm": 7.103653430938721,
|
1749 |
+
"learning_rate": 3.5e-06,
|
1750 |
+
"loss": 0.47,
|
1751 |
+
"step": 134
|
1752 |
+
},
|
1753 |
+
{
|
1754 |
+
"Batch Mean": 0.0019243955612182617,
|
1755 |
+
"accuracy": 0.7890625,
|
1756 |
+
"epoch": 0.335,
|
1757 |
+
"step": 134
|
1758 |
+
},
|
1759 |
+
{
|
1760 |
+
"epoch": 0.3375,
|
1761 |
+
"grad_norm": 6.966567039489746,
|
1762 |
+
"learning_rate": 3.486842105263158e-06,
|
1763 |
+
"loss": 0.4961,
|
1764 |
+
"step": 135
|
1765 |
+
},
|
1766 |
+
{
|
1767 |
+
"Batch Mean": -0.3426704406738281,
|
1768 |
+
"accuracy": 0.8515625,
|
1769 |
+
"epoch": 0.3375,
|
1770 |
+
"step": 135
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 0.34,
|
1774 |
+
"grad_norm": 6.283776760101318,
|
1775 |
+
"learning_rate": 3.473684210526316e-06,
|
1776 |
+
"loss": 0.3601,
|
1777 |
+
"step": 136
|
1778 |
+
},
|
1779 |
+
{
|
1780 |
+
"Batch Mean": -0.20534992218017578,
|
1781 |
+
"accuracy": 0.8203125,
|
1782 |
+
"epoch": 0.34,
|
1783 |
+
"step": 136
|
1784 |
+
},
|
1785 |
+
{
|
1786 |
+
"epoch": 0.3425,
|
1787 |
+
"grad_norm": 6.146775245666504,
|
1788 |
+
"learning_rate": 3.460526315789474e-06,
|
1789 |
+
"loss": 0.3778,
|
1790 |
+
"step": 137
|
1791 |
+
},
|
1792 |
+
{
|
1793 |
+
"Batch Mean": 0.08529424667358398,
|
1794 |
+
"accuracy": 0.8359375,
|
1795 |
+
"epoch": 0.3425,
|
1796 |
+
"step": 137
|
1797 |
+
},
|
1798 |
+
{
|
1799 |
+
"epoch": 0.345,
|
1800 |
+
"grad_norm": 6.416910171508789,
|
1801 |
+
"learning_rate": 3.447368421052632e-06,
|
1802 |
+
"loss": 0.4167,
|
1803 |
+
"step": 138
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"Batch Mean": -0.047773122787475586,
|
1807 |
+
"accuracy": 0.8828125,
|
1808 |
+
"epoch": 0.345,
|
1809 |
+
"step": 138
|
1810 |
+
},
|
1811 |
+
{
|
1812 |
+
"epoch": 0.3475,
|
1813 |
+
"grad_norm": 5.484972953796387,
|
1814 |
+
"learning_rate": 3.43421052631579e-06,
|
1815 |
+
"loss": 0.3506,
|
1816 |
+
"step": 139
|
1817 |
+
},
|
1818 |
+
{
|
1819 |
+
"Batch Mean": 0.5931057929992676,
|
1820 |
+
"accuracy": 0.828125,
|
1821 |
+
"epoch": 0.3475,
|
1822 |
+
"step": 139
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.35,
|
1826 |
+
"grad_norm": 7.790515899658203,
|
1827 |
+
"learning_rate": 3.421052631578948e-06,
|
1828 |
+
"loss": 0.3479,
|
1829 |
+
"step": 140
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"Batch Mean": 0.15590977668762207,
|
1833 |
+
"accuracy": 0.84375,
|
1834 |
+
"epoch": 0.35,
|
1835 |
+
"step": 140
|
1836 |
+
},
|
1837 |
+
{
|
1838 |
+
"epoch": 0.3525,
|
1839 |
+
"grad_norm": 6.013650417327881,
|
1840 |
+
"learning_rate": 3.4078947368421057e-06,
|
1841 |
+
"loss": 0.3612,
|
1842 |
+
"step": 141
|
1843 |
+
},
|
1844 |
+
{
|
1845 |
+
"Batch Mean": 0.46294069290161133,
|
1846 |
+
"accuracy": 0.78125,
|
1847 |
+
"epoch": 0.3525,
|
1848 |
+
"step": 141
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 0.355,
|
1852 |
+
"grad_norm": 8.1344633102417,
|
1853 |
+
"learning_rate": 3.3947368421052636e-06,
|
1854 |
+
"loss": 0.4946,
|
1855 |
+
"step": 142
|
1856 |
+
},
|
1857 |
+
{
|
1858 |
+
"Batch Mean": -0.12668347358703613,
|
1859 |
+
"accuracy": 0.796875,
|
1860 |
+
"epoch": 0.355,
|
1861 |
+
"step": 142
|
1862 |
+
},
|
1863 |
+
{
|
1864 |
+
"epoch": 0.3575,
|
1865 |
+
"grad_norm": 5.713737487792969,
|
1866 |
+
"learning_rate": 3.381578947368421e-06,
|
1867 |
+
"loss": 0.3976,
|
1868 |
+
"step": 143
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"Batch Mean": -0.4500846862792969,
|
1872 |
+
"accuracy": 0.8203125,
|
1873 |
+
"epoch": 0.3575,
|
1874 |
+
"step": 143
|
1875 |
+
},
|
1876 |
+
{
|
1877 |
+
"epoch": 0.36,
|
1878 |
+
"grad_norm": 7.036086559295654,
|
1879 |
+
"learning_rate": 3.368421052631579e-06,
|
1880 |
+
"loss": 0.3463,
|
1881 |
+
"step": 144
|
1882 |
+
},
|
1883 |
+
{
|
1884 |
+
"Batch Mean": -0.37799644470214844,
|
1885 |
+
"accuracy": 0.7890625,
|
1886 |
+
"epoch": 0.36,
|
1887 |
+
"step": 144
|
1888 |
+
},
|
1889 |
+
{
|
1890 |
+
"epoch": 0.3625,
|
1891 |
+
"grad_norm": 6.1970062255859375,
|
1892 |
+
"learning_rate": 3.355263157894737e-06,
|
1893 |
+
"loss": 0.3877,
|
1894 |
+
"step": 145
|
1895 |
+
},
|
1896 |
+
{
|
1897 |
+
"Batch Mean": -0.10559439659118652,
|
1898 |
+
"accuracy": 0.7578125,
|
1899 |
+
"epoch": 0.3625,
|
1900 |
+
"step": 145
|
1901 |
+
},
|
1902 |
+
{
|
1903 |
+
"epoch": 0.365,
|
1904 |
+
"grad_norm": 5.835550308227539,
|
1905 |
+
"learning_rate": 3.342105263157895e-06,
|
1906 |
+
"loss": 0.3851,
|
1907 |
+
"step": 146
|
1908 |
+
},
|
1909 |
+
{
|
1910 |
+
"Batch Mean": 0.44306373596191406,
|
1911 |
+
"accuracy": 0.75,
|
1912 |
+
"epoch": 0.365,
|
1913 |
+
"step": 146
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 0.3675,
|
1917 |
+
"grad_norm": 7.37814474105835,
|
1918 |
+
"learning_rate": 3.3289473684210528e-06,
|
1919 |
+
"loss": 0.4315,
|
1920 |
+
"step": 147
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"Batch Mean": -0.04085433483123779,
|
1924 |
+
"accuracy": 0.796875,
|
1925 |
+
"epoch": 0.3675,
|
1926 |
+
"step": 147
|
1927 |
+
},
|
1928 |
+
{
|
1929 |
+
"epoch": 0.37,
|
1930 |
+
"grad_norm": 6.159938812255859,
|
1931 |
+
"learning_rate": 3.3157894736842107e-06,
|
1932 |
+
"loss": 0.4498,
|
1933 |
+
"step": 148
|
1934 |
+
},
|
1935 |
+
{
|
1936 |
+
"Batch Mean": 0.40547609329223633,
|
1937 |
+
"accuracy": 0.828125,
|
1938 |
+
"epoch": 0.37,
|
1939 |
+
"step": 148
|
1940 |
+
},
|
1941 |
+
{
|
1942 |
+
"epoch": 0.3725,
|
1943 |
+
"grad_norm": 6.4657301902771,
|
1944 |
+
"learning_rate": 3.302631578947369e-06,
|
1945 |
+
"loss": 0.4086,
|
1946 |
+
"step": 149
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"Batch Mean": 0.18158531188964844,
|
1950 |
+
"accuracy": 0.890625,
|
1951 |
+
"epoch": 0.3725,
|
1952 |
+
"step": 149
|
1953 |
+
},
|
1954 |
+
{
|
1955 |
+
"epoch": 0.375,
|
1956 |
+
"grad_norm": 5.317295074462891,
|
1957 |
+
"learning_rate": 3.289473684210527e-06,
|
1958 |
+
"loss": 0.3154,
|
1959 |
+
"step": 150
|
1960 |
+
},
|
1961 |
+
{
|
1962 |
+
"Batch Mean": 0.09602212905883789,
|
1963 |
+
"accuracy": 0.8515625,
|
1964 |
+
"epoch": 0.375,
|
1965 |
+
"step": 150
|
1966 |
+
},
|
1967 |
+
{
|
1968 |
+
"epoch": 0.3775,
|
1969 |
+
"grad_norm": 5.428357124328613,
|
1970 |
+
"learning_rate": 3.276315789473685e-06,
|
1971 |
+
"loss": 0.3893,
|
1972 |
+
"step": 151
|
1973 |
+
},
|
1974 |
+
{
|
1975 |
+
"Batch Mean": -0.3176734447479248,
|
1976 |
+
"accuracy": 0.765625,
|
1977 |
+
"epoch": 0.3775,
|
1978 |
+
"step": 151
|
1979 |
+
},
|
1980 |
+
{
|
1981 |
+
"epoch": 0.38,
|
1982 |
+
"grad_norm": 6.5872087478637695,
|
1983 |
+
"learning_rate": 3.2631578947368423e-06,
|
1984 |
+
"loss": 0.4477,
|
1985 |
+
"step": 152
|
1986 |
+
},
|
1987 |
+
{
|
1988 |
+
"Batch Mean": -0.34884822368621826,
|
1989 |
+
"accuracy": 0.8515625,
|
1990 |
+
"epoch": 0.38,
|
1991 |
+
"step": 152
|
1992 |
+
},
|
1993 |
+
{
|
1994 |
+
"epoch": 0.3825,
|
1995 |
+
"grad_norm": 6.333802223205566,
|
1996 |
+
"learning_rate": 3.2500000000000002e-06,
|
1997 |
+
"loss": 0.3661,
|
1998 |
+
"step": 153
|
1999 |
+
},
|
2000 |
+
{
|
2001 |
+
"Batch Mean": -0.11426492035388947,
|
2002 |
+
"accuracy": 0.8203125,
|
2003 |
+
"epoch": 0.3825,
|
2004 |
+
"step": 153
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.385,
|
2008 |
+
"grad_norm": 6.027217388153076,
|
2009 |
+
"learning_rate": 3.236842105263158e-06,
|
2010 |
+
"loss": 0.3967,
|
2011 |
+
"step": 154
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"Batch Mean": 0.2238612174987793,
|
2015 |
+
"accuracy": 0.828125,
|
2016 |
+
"epoch": 0.385,
|
2017 |
+
"step": 154
|
2018 |
+
},
|
2019 |
+
{
|
2020 |
+
"epoch": 0.3875,
|
2021 |
+
"grad_norm": 5.728042125701904,
|
2022 |
+
"learning_rate": 3.223684210526316e-06,
|
2023 |
+
"loss": 0.3469,
|
2024 |
+
"step": 155
|
2025 |
+
},
|
2026 |
+
{
|
2027 |
+
"Batch Mean": 0.2194676399230957,
|
2028 |
+
"accuracy": 0.8359375,
|
2029 |
+
"epoch": 0.3875,
|
2030 |
+
"step": 155
|
2031 |
+
},
|
2032 |
+
{
|
2033 |
+
"epoch": 0.39,
|
2034 |
+
"grad_norm": 6.083252906799316,
|
2035 |
+
"learning_rate": 3.210526315789474e-06,
|
2036 |
+
"loss": 0.3512,
|
2037 |
+
"step": 156
|
2038 |
+
},
|
2039 |
+
{
|
2040 |
+
"Batch Mean": 0.4024663269519806,
|
2041 |
+
"accuracy": 0.84375,
|
2042 |
+
"epoch": 0.39,
|
2043 |
+
"step": 156
|
2044 |
+
},
|
2045 |
+
{
|
2046 |
+
"epoch": 0.3925,
|
2047 |
+
"grad_norm": 6.562926292419434,
|
2048 |
+
"learning_rate": 3.197368421052632e-06,
|
2049 |
+
"loss": 0.3141,
|
2050 |
+
"step": 157
|
2051 |
+
},
|
2052 |
+
{
|
2053 |
+
"Batch Mean": -0.39385366439819336,
|
2054 |
+
"accuracy": 0.859375,
|
2055 |
+
"epoch": 0.3925,
|
2056 |
+
"step": 157
|
2057 |
+
},
|
2058 |
+
{
|
2059 |
+
"epoch": 0.395,
|
2060 |
+
"grad_norm": 7.200568199157715,
|
2061 |
+
"learning_rate": 3.1842105263157898e-06,
|
2062 |
+
"loss": 0.3309,
|
2063 |
+
"step": 158
|
2064 |
+
},
|
2065 |
+
{
|
2066 |
+
"Batch Mean": -0.46120989322662354,
|
2067 |
+
"accuracy": 0.796875,
|
2068 |
+
"epoch": 0.395,
|
2069 |
+
"step": 158
|
2070 |
+
},
|
2071 |
+
{
|
2072 |
+
"epoch": 0.3975,
|
2073 |
+
"grad_norm": 8.028575897216797,
|
2074 |
+
"learning_rate": 3.1710526315789477e-06,
|
2075 |
+
"loss": 0.4198,
|
2076 |
+
"step": 159
|
2077 |
+
},
|
2078 |
+
{
|
2079 |
+
"Batch Mean": -0.01939535140991211,
|
2080 |
+
"accuracy": 0.828125,
|
2081 |
+
"epoch": 0.3975,
|
2082 |
+
"step": 159
|
2083 |
+
},
|
2084 |
+
{
|
2085 |
+
"epoch": 0.4,
|
2086 |
+
"grad_norm": 6.117007732391357,
|
2087 |
+
"learning_rate": 3.157894736842105e-06,
|
2088 |
+
"loss": 0.3203,
|
2089 |
+
"step": 160
|
2090 |
+
},
|
2091 |
+
{
|
2092 |
+
"Batch Mean": 0.30785632133483887,
|
2093 |
+
"accuracy": 0.8046875,
|
2094 |
+
"epoch": 0.4,
|
2095 |
+
"step": 160
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 0.4025,
|
2099 |
+
"grad_norm": 6.923008918762207,
|
2100 |
+
"learning_rate": 3.144736842105263e-06,
|
2101 |
+
"loss": 0.3664,
|
2102 |
+
"step": 161
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"Batch Mean": 0.7033977508544922,
|
2106 |
+
"accuracy": 0.828125,
|
2107 |
+
"epoch": 0.4025,
|
2108 |
+
"step": 161
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 0.405,
|
2112 |
+
"grad_norm": 9.752437591552734,
|
2113 |
+
"learning_rate": 3.131578947368421e-06,
|
2114 |
+
"loss": 0.3907,
|
2115 |
+
"step": 162
|
2116 |
+
},
|
2117 |
+
{
|
2118 |
+
"Batch Mean": -0.347902774810791,
|
2119 |
+
"accuracy": 0.828125,
|
2120 |
+
"epoch": 0.405,
|
2121 |
+
"step": 162
|
2122 |
+
},
|
2123 |
+
{
|
2124 |
+
"epoch": 0.4075,
|
2125 |
+
"grad_norm": 7.6583991050720215,
|
2126 |
+
"learning_rate": 3.1184210526315793e-06,
|
2127 |
+
"loss": 0.374,
|
2128 |
+
"step": 163
|
2129 |
+
},
|
2130 |
+
{
|
2131 |
+
"Batch Mean": -0.569427490234375,
|
2132 |
+
"accuracy": 0.84375,
|
2133 |
+
"epoch": 0.4075,
|
2134 |
+
"step": 163
|
2135 |
+
},
|
2136 |
+
{
|
2137 |
+
"epoch": 0.41,
|
2138 |
+
"grad_norm": 8.497271537780762,
|
2139 |
+
"learning_rate": 3.1052631578947372e-06,
|
2140 |
+
"loss": 0.3917,
|
2141 |
+
"step": 164
|
2142 |
+
},
|
2143 |
+
{
|
2144 |
+
"Batch Mean": -0.094696044921875,
|
2145 |
+
"accuracy": 0.796875,
|
2146 |
+
"epoch": 0.41,
|
2147 |
+
"step": 164
|
2148 |
+
},
|
2149 |
+
{
|
2150 |
+
"epoch": 0.4125,
|
2151 |
+
"grad_norm": 8.36490249633789,
|
2152 |
+
"learning_rate": 3.092105263157895e-06,
|
2153 |
+
"loss": 0.4532,
|
2154 |
+
"step": 165
|
2155 |
+
},
|
2156 |
+
{
|
2157 |
+
"Batch Mean": -0.3759317398071289,
|
2158 |
+
"accuracy": 0.859375,
|
2159 |
+
"epoch": 0.4125,
|
2160 |
+
"step": 165
|
2161 |
+
},
|
2162 |
+
{
|
2163 |
+
"epoch": 0.415,
|
2164 |
+
"grad_norm": 7.4028425216674805,
|
2165 |
+
"learning_rate": 3.078947368421053e-06,
|
2166 |
+
"loss": 0.3049,
|
2167 |
+
"step": 166
|
2168 |
+
},
|
2169 |
+
{
|
2170 |
+
"Batch Mean": 0.3960217833518982,
|
2171 |
+
"accuracy": 0.828125,
|
2172 |
+
"epoch": 0.415,
|
2173 |
+
"step": 166
|
2174 |
+
},
|
2175 |
+
{
|
2176 |
+
"epoch": 0.4175,
|
2177 |
+
"grad_norm": 7.194099426269531,
|
2178 |
+
"learning_rate": 3.065789473684211e-06,
|
2179 |
+
"loss": 0.3577,
|
2180 |
+
"step": 167
|
2181 |
+
},
|
2182 |
+
{
|
2183 |
+
"Batch Mean": 0.5912597179412842,
|
2184 |
+
"accuracy": 0.875,
|
2185 |
+
"epoch": 0.4175,
|
2186 |
+
"step": 167
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 0.42,
|
2190 |
+
"grad_norm": 7.954378128051758,
|
2191 |
+
"learning_rate": 3.052631578947369e-06,
|
2192 |
+
"loss": 0.3329,
|
2193 |
+
"step": 168
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"Batch Mean": -0.014994144439697266,
|
2197 |
+
"accuracy": 0.796875,
|
2198 |
+
"epoch": 0.42,
|
2199 |
+
"step": 168
|
2200 |
+
},
|
2201 |
+
{
|
2202 |
+
"epoch": 0.4225,
|
2203 |
+
"grad_norm": 7.277341365814209,
|
2204 |
+
"learning_rate": 3.0394736842105268e-06,
|
2205 |
+
"loss": 0.423,
|
2206 |
+
"step": 169
|
2207 |
+
},
|
2208 |
+
{
|
2209 |
+
"Batch Mean": 0.0011951625347137451,
|
2210 |
+
"accuracy": 0.8671875,
|
2211 |
+
"epoch": 0.4225,
|
2212 |
+
"step": 169
|
2213 |
+
},
|
2214 |
+
{
|
2215 |
+
"epoch": 0.425,
|
2216 |
+
"grad_norm": 6.068748950958252,
|
2217 |
+
"learning_rate": 3.0263157894736843e-06,
|
2218 |
+
"loss": 0.3711,
|
2219 |
+
"step": 170
|
2220 |
+
},
|
2221 |
+
{
|
2222 |
+
"Batch Mean": -0.23294401168823242,
|
2223 |
+
"accuracy": 0.9375,
|
2224 |
+
"epoch": 0.425,
|
2225 |
+
"step": 170
|
2226 |
+
},
|
2227 |
+
{
|
2228 |
+
"epoch": 0.4275,
|
2229 |
+
"grad_norm": 5.278029441833496,
|
2230 |
+
"learning_rate": 3.013157894736842e-06,
|
2231 |
+
"loss": 0.237,
|
2232 |
+
"step": 171
|
2233 |
+
},
|
2234 |
+
{
|
2235 |
+
"Batch Mean": -0.40133750438690186,
|
2236 |
+
"accuracy": 0.7890625,
|
2237 |
+
"epoch": 0.4275,
|
2238 |
+
"step": 171
|
2239 |
+
},
|
2240 |
+
{
|
2241 |
+
"epoch": 0.43,
|
2242 |
+
"grad_norm": 7.065173149108887,
|
2243 |
+
"learning_rate": 3e-06,
|
2244 |
+
"loss": 0.4043,
|
2245 |
+
"step": 172
|
2246 |
+
},
|
2247 |
+
{
|
2248 |
+
"Batch Mean": 0.1028299331665039,
|
2249 |
+
"accuracy": 0.84375,
|
2250 |
+
"epoch": 0.43,
|
2251 |
+
"step": 172
|
2252 |
+
},
|
2253 |
+
{
|
2254 |
+
"epoch": 0.4325,
|
2255 |
+
"grad_norm": 8.89666748046875,
|
2256 |
+
"learning_rate": 2.986842105263158e-06,
|
2257 |
+
"loss": 0.3427,
|
2258 |
+
"step": 173
|
2259 |
+
},
|
2260 |
+
{
|
2261 |
+
"Batch Mean": 0.08979487419128418,
|
2262 |
+
"accuracy": 0.828125,
|
2263 |
+
"epoch": 0.4325,
|
2264 |
+
"step": 173
|
2265 |
+
},
|
2266 |
+
{
|
2267 |
+
"epoch": 0.435,
|
2268 |
+
"grad_norm": 5.712543487548828,
|
2269 |
+
"learning_rate": 2.973684210526316e-06,
|
2270 |
+
"loss": 0.3642,
|
2271 |
+
"step": 174
|
2272 |
+
},
|
2273 |
+
{
|
2274 |
+
"Batch Mean": 0.6362553834915161,
|
2275 |
+
"accuracy": 0.84375,
|
2276 |
+
"epoch": 0.435,
|
2277 |
+
"step": 174
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 0.4375,
|
2281 |
+
"grad_norm": 8.968149185180664,
|
2282 |
+
"learning_rate": 2.960526315789474e-06,
|
2283 |
+
"loss": 0.3986,
|
2284 |
+
"step": 175
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"Batch Mean": 0.03002166748046875,
|
2288 |
+
"accuracy": 0.8125,
|
2289 |
+
"epoch": 0.4375,
|
2290 |
+
"step": 175
|
2291 |
+
},
|
2292 |
+
{
|
2293 |
+
"epoch": 0.44,
|
2294 |
+
"grad_norm": 5.981250286102295,
|
2295 |
+
"learning_rate": 2.9473684210526317e-06,
|
2296 |
+
"loss": 0.371,
|
2297 |
+
"step": 176
|
2298 |
+
},
|
2299 |
+
{
|
2300 |
+
"Batch Mean": 0.15925252437591553,
|
2301 |
+
"accuracy": 0.7578125,
|
2302 |
+
"epoch": 0.44,
|
2303 |
+
"step": 176
|
2304 |
+
},
|
2305 |
+
{
|
2306 |
+
"epoch": 0.4425,
|
2307 |
+
"grad_norm": 7.630130290985107,
|
2308 |
+
"learning_rate": 2.93421052631579e-06,
|
2309 |
+
"loss": 0.4573,
|
2310 |
+
"step": 177
|
2311 |
+
},
|
2312 |
+
{
|
2313 |
+
"Batch Mean": -0.5218077898025513,
|
2314 |
+
"accuracy": 0.875,
|
2315 |
+
"epoch": 0.4425,
|
2316 |
+
"step": 177
|
2317 |
+
},
|
2318 |
+
{
|
2319 |
+
"epoch": 0.445,
|
2320 |
+
"grad_norm": 8.40796184539795,
|
2321 |
+
"learning_rate": 2.921052631578948e-06,
|
2322 |
+
"loss": 0.318,
|
2323 |
+
"step": 178
|
2324 |
+
},
|
2325 |
+
{
|
2326 |
+
"Batch Mean": -0.21337127685546875,
|
2327 |
+
"accuracy": 0.8671875,
|
2328 |
+
"epoch": 0.445,
|
2329 |
+
"step": 178
|
2330 |
+
},
|
2331 |
+
{
|
2332 |
+
"epoch": 0.4475,
|
2333 |
+
"grad_norm": 6.911371231079102,
|
2334 |
+
"learning_rate": 2.907894736842106e-06,
|
2335 |
+
"loss": 0.3225,
|
2336 |
+
"step": 179
|
2337 |
+
},
|
2338 |
+
{
|
2339 |
+
"Batch Mean": -0.4858684539794922,
|
2340 |
+
"accuracy": 0.796875,
|
2341 |
+
"epoch": 0.4475,
|
2342 |
+
"step": 179
|
2343 |
+
},
|
2344 |
+
{
|
2345 |
+
"epoch": 0.45,
|
2346 |
+
"grad_norm": 7.585726737976074,
|
2347 |
+
"learning_rate": 2.8947368421052634e-06,
|
2348 |
+
"loss": 0.4169,
|
2349 |
+
"step": 180
|
2350 |
+
},
|
2351 |
+
{
|
2352 |
+
"Batch Mean": 0.6967126131057739,
|
2353 |
+
"accuracy": 0.8359375,
|
2354 |
+
"epoch": 0.45,
|
2355 |
+
"step": 180
|
2356 |
+
},
|
2357 |
+
{
|
2358 |
+
"epoch": 0.4525,
|
2359 |
+
"grad_norm": 9.311128616333008,
|
2360 |
+
"learning_rate": 2.8815789473684213e-06,
|
2361 |
+
"loss": 0.3541,
|
2362 |
+
"step": 181
|
2363 |
+
},
|
2364 |
+
{
|
2365 |
+
"Batch Mean": 0.40191876888275146,
|
2366 |
+
"accuracy": 0.875,
|
2367 |
+
"epoch": 0.4525,
|
2368 |
+
"step": 181
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 0.455,
|
2372 |
+
"grad_norm": 6.452785015106201,
|
2373 |
+
"learning_rate": 2.868421052631579e-06,
|
2374 |
+
"loss": 0.2999,
|
2375 |
+
"step": 182
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"Batch Mean": 0.35803985595703125,
|
2379 |
+
"accuracy": 0.765625,
|
2380 |
+
"epoch": 0.455,
|
2381 |
+
"step": 182
|
2382 |
+
},
|
2383 |
+
{
|
2384 |
+
"epoch": 0.4575,
|
2385 |
+
"grad_norm": 7.8335418701171875,
|
2386 |
+
"learning_rate": 2.855263157894737e-06,
|
2387 |
+
"loss": 0.4661,
|
2388 |
+
"step": 183
|
2389 |
+
},
|
2390 |
+
{
|
2391 |
+
"Batch Mean": -0.17188113927841187,
|
2392 |
+
"accuracy": 0.8203125,
|
2393 |
+
"epoch": 0.4575,
|
2394 |
+
"step": 183
|
2395 |
+
},
|
2396 |
+
{
|
2397 |
+
"epoch": 0.46,
|
2398 |
+
"grad_norm": 6.696692943572998,
|
2399 |
+
"learning_rate": 2.842105263157895e-06,
|
2400 |
+
"loss": 0.4276,
|
2401 |
+
"step": 184
|
2402 |
+
},
|
2403 |
+
{
|
2404 |
+
"Batch Mean": -0.7287430763244629,
|
2405 |
+
"accuracy": 0.8125,
|
2406 |
+
"epoch": 0.46,
|
2407 |
+
"step": 184
|
2408 |
+
},
|
2409 |
+
{
|
2410 |
+
"epoch": 0.4625,
|
2411 |
+
"grad_norm": 9.841276168823242,
|
2412 |
+
"learning_rate": 2.828947368421053e-06,
|
2413 |
+
"loss": 0.4608,
|
2414 |
+
"step": 185
|
2415 |
+
},
|
2416 |
+
{
|
2417 |
+
"Batch Mean": -0.4493199586868286,
|
2418 |
+
"accuracy": 0.765625,
|
2419 |
+
"epoch": 0.4625,
|
2420 |
+
"step": 185
|
2421 |
+
},
|
2422 |
+
{
|
2423 |
+
"epoch": 0.465,
|
2424 |
+
"grad_norm": 6.939754486083984,
|
2425 |
+
"learning_rate": 2.815789473684211e-06,
|
2426 |
+
"loss": 0.385,
|
2427 |
+
"step": 186
|
2428 |
+
},
|
2429 |
+
{
|
2430 |
+
"Batch Mean": -0.001141861081123352,
|
2431 |
+
"accuracy": 0.796875,
|
2432 |
+
"epoch": 0.465,
|
2433 |
+
"step": 186
|
2434 |
+
},
|
2435 |
+
{
|
2436 |
+
"epoch": 0.4675,
|
2437 |
+
"grad_norm": 5.819330215454102,
|
2438 |
+
"learning_rate": 2.8026315789473683e-06,
|
2439 |
+
"loss": 0.3872,
|
2440 |
+
"step": 187
|
2441 |
+
},
|
2442 |
+
{
|
2443 |
+
"Batch Mean": 0.11795490980148315,
|
2444 |
+
"accuracy": 0.8984375,
|
2445 |
+
"epoch": 0.4675,
|
2446 |
+
"step": 187
|
2447 |
+
},
|
2448 |
+
{
|
2449 |
+
"epoch": 0.47,
|
2450 |
+
"grad_norm": 5.095602512359619,
|
2451 |
+
"learning_rate": 2.789473684210526e-06,
|
2452 |
+
"loss": 0.2691,
|
2453 |
+
"step": 188
|
2454 |
+
},
|
2455 |
+
{
|
2456 |
+
"Batch Mean": 0.0792817771434784,
|
2457 |
+
"accuracy": 0.7734375,
|
2458 |
+
"epoch": 0.47,
|
2459 |
+
"step": 188
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 0.4725,
|
2463 |
+
"grad_norm": 6.671010971069336,
|
2464 |
+
"learning_rate": 2.776315789473684e-06,
|
2465 |
+
"loss": 0.4304,
|
2466 |
+
"step": 189
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"Batch Mean": 0.11675047874450684,
|
2470 |
+
"accuracy": 0.8828125,
|
2471 |
+
"epoch": 0.4725,
|
2472 |
+
"step": 189
|
2473 |
+
},
|
2474 |
+
{
|
2475 |
+
"epoch": 0.475,
|
2476 |
+
"grad_norm": 5.194698810577393,
|
2477 |
+
"learning_rate": 2.7631578947368424e-06,
|
2478 |
+
"loss": 0.3043,
|
2479 |
+
"step": 190
|
2480 |
+
},
|
2481 |
+
{
|
2482 |
+
"Batch Mean": 0.507703423500061,
|
2483 |
+
"accuracy": 0.8359375,
|
2484 |
+
"epoch": 0.475,
|
2485 |
+
"step": 190
|
2486 |
+
},
|
2487 |
+
{
|
2488 |
+
"epoch": 0.4775,
|
2489 |
+
"grad_norm": 8.995157241821289,
|
2490 |
+
"learning_rate": 2.7500000000000004e-06,
|
2491 |
+
"loss": 0.4023,
|
2492 |
+
"step": 191
|
2493 |
+
},
|
2494 |
+
{
|
2495 |
+
"Batch Mean": 0.007342934608459473,
|
2496 |
+
"accuracy": 0.8828125,
|
2497 |
+
"epoch": 0.4775,
|
2498 |
+
"step": 191
|
2499 |
+
},
|
2500 |
+
{
|
2501 |
+
"epoch": 0.48,
|
2502 |
+
"grad_norm": 4.653019428253174,
|
2503 |
+
"learning_rate": 2.7368421052631583e-06,
|
2504 |
+
"loss": 0.2997,
|
2505 |
+
"step": 192
|
2506 |
+
},
|
2507 |
+
{
|
2508 |
+
"Batch Mean": -0.11206340789794922,
|
2509 |
+
"accuracy": 0.84375,
|
2510 |
+
"epoch": 0.48,
|
2511 |
+
"step": 192
|
2512 |
+
},
|
2513 |
+
{
|
2514 |
+
"epoch": 0.4825,
|
2515 |
+
"grad_norm": 5.593299388885498,
|
2516 |
+
"learning_rate": 2.723684210526316e-06,
|
2517 |
+
"loss": 0.3592,
|
2518 |
+
"step": 193
|
2519 |
+
},
|
2520 |
+
{
|
2521 |
+
"Batch Mean": 0.34449005126953125,
|
2522 |
+
"accuracy": 0.8203125,
|
2523 |
+
"epoch": 0.4825,
|
2524 |
+
"step": 193
|
2525 |
+
},
|
2526 |
+
{
|
2527 |
+
"epoch": 0.485,
|
2528 |
+
"grad_norm": 7.729828834533691,
|
2529 |
+
"learning_rate": 2.710526315789474e-06,
|
2530 |
+
"loss": 0.4174,
|
2531 |
+
"step": 194
|
2532 |
+
},
|
2533 |
+
{
|
2534 |
+
"Batch Mean": 0.3511536121368408,
|
2535 |
+
"accuracy": 0.796875,
|
2536 |
+
"epoch": 0.485,
|
2537 |
+
"step": 194
|
2538 |
+
},
|
2539 |
+
{
|
2540 |
+
"epoch": 0.4875,
|
2541 |
+
"grad_norm": 6.8778791427612305,
|
2542 |
+
"learning_rate": 2.697368421052632e-06,
|
2543 |
+
"loss": 0.3958,
|
2544 |
+
"step": 195
|
2545 |
+
},
|
2546 |
+
{
|
2547 |
+
"Batch Mean": -0.4304494857788086,
|
2548 |
+
"accuracy": 0.828125,
|
2549 |
+
"epoch": 0.4875,
|
2550 |
+
"step": 195
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 0.49,
|
2554 |
+
"grad_norm": 7.1837897300720215,
|
2555 |
+
"learning_rate": 2.68421052631579e-06,
|
2556 |
+
"loss": 0.3644,
|
2557 |
+
"step": 196
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"Batch Mean": -0.5402705669403076,
|
2561 |
+
"accuracy": 0.8828125,
|
2562 |
+
"epoch": 0.49,
|
2563 |
+
"step": 196
|
2564 |
+
},
|
2565 |
+
{
|
2566 |
+
"epoch": 0.4925,
|
2567 |
+
"grad_norm": 7.711959362030029,
|
2568 |
+
"learning_rate": 2.6710526315789474e-06,
|
2569 |
+
"loss": 0.3134,
|
2570 |
+
"step": 197
|
2571 |
+
},
|
2572 |
+
{
|
2573 |
+
"Batch Mean": -0.4601917266845703,
|
2574 |
+
"accuracy": 0.8203125,
|
2575 |
+
"epoch": 0.4925,
|
2576 |
+
"step": 197
|
2577 |
+
},
|
2578 |
+
{
|
2579 |
+
"epoch": 0.495,
|
2580 |
+
"grad_norm": 7.087433815002441,
|
2581 |
+
"learning_rate": 2.6578947368421053e-06,
|
2582 |
+
"loss": 0.3694,
|
2583 |
+
"step": 198
|
2584 |
+
},
|
2585 |
+
{
|
2586 |
+
"Batch Mean": 0.003908276557922363,
|
2587 |
+
"accuracy": 0.859375,
|
2588 |
+
"epoch": 0.495,
|
2589 |
+
"step": 198
|
2590 |
+
},
|
2591 |
+
{
|
2592 |
+
"epoch": 0.4975,
|
2593 |
+
"grad_norm": 5.323395252227783,
|
2594 |
+
"learning_rate": 2.644736842105263e-06,
|
2595 |
+
"loss": 0.3269,
|
2596 |
+
"step": 199
|
2597 |
+
},
|
2598 |
+
{
|
2599 |
+
"Batch Mean": 0.3632014989852905,
|
2600 |
+
"accuracy": 0.8828125,
|
2601 |
+
"epoch": 0.4975,
|
2602 |
+
"step": 199
|
2603 |
+
},
|
2604 |
+
{
|
2605 |
+
"epoch": 0.5,
|
2606 |
+
"grad_norm": 6.865387439727783,
|
2607 |
+
"learning_rate": 2.631578947368421e-06,
|
2608 |
+
"loss": 0.3261,
|
2609 |
+
"step": 200
|
2610 |
+
}
|
2611 |
+
],
|
2612 |
+
"logging_steps": 1,
|
2613 |
+
"max_steps": 400,
|
2614 |
+
"num_input_tokens_seen": 0,
|
2615 |
+
"num_train_epochs": 1,
|
2616 |
+
"save_steps": 100,
|
2617 |
+
"stateful_callbacks": {
|
2618 |
+
"TrainerControl": {
|
2619 |
+
"args": {
|
2620 |
+
"should_epoch_stop": false,
|
2621 |
+
"should_evaluate": false,
|
2622 |
+
"should_log": false,
|
2623 |
+
"should_save": true,
|
2624 |
+
"should_training_stop": false
|
2625 |
+
},
|
2626 |
+
"attributes": {}
|
2627 |
+
}
|
2628 |
+
},
|
2629 |
+
"total_flos": 0.0,
|
2630 |
+
"train_batch_size": 16,
|
2631 |
+
"trial_name": null,
|
2632 |
+
"trial_params": null
|
2633 |
+
}
|
checkpoint-200/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:108253c2924ab960b742973fd9045c7f43b2d39e8229930aed15fd573ed1620a
|
3 |
+
size 5752
|
checkpoint-200/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-300/added_tokens.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</tool_call>": 151658,
|
3 |
+
"<tool_call>": 151657,
|
4 |
+
"<|box_end|>": 151649,
|
5 |
+
"<|box_start|>": 151648,
|
6 |
+
"<|endoftext|>": 151643,
|
7 |
+
"<|file_sep|>": 151664,
|
8 |
+
"<|fim_middle|>": 151660,
|
9 |
+
"<|fim_pad|>": 151662,
|
10 |
+
"<|fim_prefix|>": 151659,
|
11 |
+
"<|fim_suffix|>": 151661,
|
12 |
+
"<|im_end|>": 151645,
|
13 |
+
"<|im_start|>": 151644,
|
14 |
+
"<|image_pad|>": 151655,
|
15 |
+
"<|object_ref_end|>": 151647,
|
16 |
+
"<|object_ref_start|>": 151646,
|
17 |
+
"<|quad_end|>": 151651,
|
18 |
+
"<|quad_start|>": 151650,
|
19 |
+
"<|repo_name|>": 151663,
|
20 |
+
"<|video_pad|>": 151656,
|
21 |
+
"<|vision_end|>": 151653,
|
22 |
+
"<|vision_pad|>": 151654,
|
23 |
+
"<|vision_start|>": 151652
|
24 |
+
}
|
checkpoint-300/config.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "tlrm/Q25-1.5B-UC",
|
3 |
+
"architectures": [
|
4 |
+
"Qwen2ForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 151643,
|
8 |
+
"eos_token_id": 151645,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 1536,
|
11 |
+
"id2label": {
|
12 |
+
"0": "LABEL_0"
|
13 |
+
},
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 8960,
|
16 |
+
"label2id": {
|
17 |
+
"LABEL_0": 0
|
18 |
+
},
|
19 |
+
"max_position_embeddings": 131072,
|
20 |
+
"max_window_layers": 28,
|
21 |
+
"model_type": "qwen2",
|
22 |
+
"num_attention_heads": 12,
|
23 |
+
"num_hidden_layers": 28,
|
24 |
+
"num_key_value_heads": 2,
|
25 |
+
"pad_token_id": 151643,
|
26 |
+
"rms_norm_eps": 1e-06,
|
27 |
+
"rope_scaling": null,
|
28 |
+
"rope_theta": 1000000.0,
|
29 |
+
"sliding_window": null,
|
30 |
+
"tie_word_embeddings": true,
|
31 |
+
"torch_dtype": "float32",
|
32 |
+
"transformers_version": "4.48.0",
|
33 |
+
"use_cache": false,
|
34 |
+
"use_mrope": false,
|
35 |
+
"use_sliding_window": false,
|
36 |
+
"vocab_size": 151936
|
37 |
+
}
|
checkpoint-300/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-300/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cd05c65fca1ea27d966424df6c0fefb6afeb176f93719f71afba510c8205258d
|
3 |
+
size 4996670464
|
checkpoint-300/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:edb550bbaa8fdd5f9d9f4ef784c0f8a67a479bbeecc1c1febb52f4bd12a0814c
|
3 |
+
size 1178231192
|
checkpoint-300/model.safetensors.index.json
ADDED
@@ -0,0 +1,346 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 6174863360
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
7 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
8 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
9 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
10 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
12 |
+
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
16 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
17 |
+
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
18 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
19 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
20 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
21 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
22 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
23 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
24 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
25 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
26 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
27 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
28 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
29 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
30 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
31 |
+
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
32 |
+
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
33 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
34 |
+
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
35 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
36 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
37 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
38 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
39 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
40 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
41 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
42 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
43 |
+
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
44 |
+
"model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
45 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
46 |
+
"model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
47 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
48 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
49 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
50 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
51 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
52 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
53 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
54 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
55 |
+
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
56 |
+
"model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
57 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
58 |
+
"model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
59 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
60 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
61 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
62 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
63 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
64 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
65 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
66 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
67 |
+
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
68 |
+
"model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
69 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
70 |
+
"model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
71 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
72 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
73 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
74 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
75 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
76 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
77 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
78 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
79 |
+
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
80 |
+
"model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
81 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
82 |
+
"model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
83 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
84 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
85 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
86 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
87 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
88 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
89 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
90 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
91 |
+
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
92 |
+
"model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
93 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
94 |
+
"model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
95 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
96 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
97 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
98 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
99 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
100 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
101 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
102 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
103 |
+
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
104 |
+
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
105 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
106 |
+
"model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
107 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
108 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
109 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
110 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
111 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
112 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
113 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
114 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
115 |
+
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
116 |
+
"model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
117 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
118 |
+
"model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
119 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
120 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
121 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
122 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
123 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
124 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
125 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
126 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
127 |
+
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
128 |
+
"model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
129 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
130 |
+
"model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
131 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
132 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
133 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
134 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
135 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
136 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
137 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
138 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
139 |
+
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
140 |
+
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
141 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
142 |
+
"model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
143 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
144 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
145 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
146 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
147 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
148 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
149 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
150 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
151 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
152 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
153 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
154 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
155 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
156 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
157 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
158 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
159 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
160 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
161 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
162 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
163 |
+
"model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
164 |
+
"model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
165 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
166 |
+
"model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
167 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
168 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
169 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
170 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
171 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
172 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
173 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
174 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
175 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
176 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
177 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
178 |
+
"model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
179 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
180 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
181 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
182 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
183 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
184 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
185 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
186 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
187 |
+
"model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
188 |
+
"model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
189 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
190 |
+
"model.layers.22.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
191 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
192 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
193 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
194 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
195 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
196 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
197 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
198 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
199 |
+
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
200 |
+
"model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
201 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
202 |
+
"model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
203 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
204 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
205 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
206 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
207 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
208 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
209 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
210 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
211 |
+
"model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
212 |
+
"model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
213 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
214 |
+
"model.layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
215 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
216 |
+
"model.layers.24.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
217 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
218 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
219 |
+
"model.layers.24.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
220 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
221 |
+
"model.layers.24.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
222 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
223 |
+
"model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
224 |
+
"model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
225 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
226 |
+
"model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
227 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
228 |
+
"model.layers.25.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
229 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
230 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
231 |
+
"model.layers.25.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
232 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
233 |
+
"model.layers.25.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
234 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
235 |
+
"model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
236 |
+
"model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
237 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
238 |
+
"model.layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
239 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
240 |
+
"model.layers.26.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
241 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
242 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
243 |
+
"model.layers.26.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
244 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
245 |
+
"model.layers.26.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
246 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
247 |
+
"model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
248 |
+
"model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
249 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
250 |
+
"model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
251 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
252 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
253 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
254 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
255 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
256 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
257 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
258 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
259 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
260 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
261 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
262 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
263 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
264 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
265 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
266 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
267 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
268 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
269 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
270 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
271 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
272 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
273 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
274 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
275 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
276 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
277 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
278 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
279 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
280 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
281 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
282 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
283 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
284 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
285 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
286 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
287 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
288 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
289 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
290 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
291 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
292 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
293 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
294 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
295 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
296 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
297 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
298 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
299 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
300 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
301 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
302 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
303 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
304 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
305 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
306 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
307 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
308 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
309 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
310 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
311 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
312 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
313 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
314 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
315 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
316 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
317 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
318 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
319 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
320 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
321 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
322 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
323 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
324 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
325 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
326 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
327 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
328 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
329 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
330 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
331 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
332 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
333 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
334 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
335 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
336 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
337 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
338 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
339 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
340 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
341 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
342 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
343 |
+
"model.norm.weight": "model-00002-of-00002.safetensors",
|
344 |
+
"score.weight": "model-00002-of-00002.safetensors"
|
345 |
+
}
|
346 |
+
}
|
checkpoint-300/special_tokens_map.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>",
|
5 |
+
"<|object_ref_start|>",
|
6 |
+
"<|object_ref_end|>",
|
7 |
+
"<|box_start|>",
|
8 |
+
"<|box_end|>",
|
9 |
+
"<|quad_start|>",
|
10 |
+
"<|quad_end|>",
|
11 |
+
"<|vision_start|>",
|
12 |
+
"<|vision_end|>",
|
13 |
+
"<|vision_pad|>",
|
14 |
+
"<|image_pad|>",
|
15 |
+
"<|video_pad|>"
|
16 |
+
],
|
17 |
+
"eos_token": {
|
18 |
+
"content": "<|im_end|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
},
|
24 |
+
"pad_token": {
|
25 |
+
"content": "<|endoftext|>",
|
26 |
+
"lstrip": false,
|
27 |
+
"normalized": false,
|
28 |
+
"rstrip": false,
|
29 |
+
"single_word": false
|
30 |
+
}
|
31 |
+
}
|
checkpoint-300/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
3 |
+
size 11421896
|
checkpoint-300/tokenizer_config.json
ADDED
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_prefix_space": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"151643": {
|
6 |
+
"content": "<|endoftext|>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"151644": {
|
14 |
+
"content": "<|im_start|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"151645": {
|
22 |
+
"content": "<|im_end|>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"151646": {
|
30 |
+
"content": "<|object_ref_start|>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"151647": {
|
38 |
+
"content": "<|object_ref_end|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"151648": {
|
46 |
+
"content": "<|box_start|>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"151649": {
|
54 |
+
"content": "<|box_end|>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
},
|
61 |
+
"151650": {
|
62 |
+
"content": "<|quad_start|>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": false,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": true
|
68 |
+
},
|
69 |
+
"151651": {
|
70 |
+
"content": "<|quad_end|>",
|
71 |
+
"lstrip": false,
|
72 |
+
"normalized": false,
|
73 |
+
"rstrip": false,
|
74 |
+
"single_word": false,
|
75 |
+
"special": true
|
76 |
+
},
|
77 |
+
"151652": {
|
78 |
+
"content": "<|vision_start|>",
|
79 |
+
"lstrip": false,
|
80 |
+
"normalized": false,
|
81 |
+
"rstrip": false,
|
82 |
+
"single_word": false,
|
83 |
+
"special": true
|
84 |
+
},
|
85 |
+
"151653": {
|
86 |
+
"content": "<|vision_end|>",
|
87 |
+
"lstrip": false,
|
88 |
+
"normalized": false,
|
89 |
+
"rstrip": false,
|
90 |
+
"single_word": false,
|
91 |
+
"special": true
|
92 |
+
},
|
93 |
+
"151654": {
|
94 |
+
"content": "<|vision_pad|>",
|
95 |
+
"lstrip": false,
|
96 |
+
"normalized": false,
|
97 |
+
"rstrip": false,
|
98 |
+
"single_word": false,
|
99 |
+
"special": true
|
100 |
+
},
|
101 |
+
"151655": {
|
102 |
+
"content": "<|image_pad|>",
|
103 |
+
"lstrip": false,
|
104 |
+
"normalized": false,
|
105 |
+
"rstrip": false,
|
106 |
+
"single_word": false,
|
107 |
+
"special": true
|
108 |
+
},
|
109 |
+
"151656": {
|
110 |
+
"content": "<|video_pad|>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": false,
|
113 |
+
"rstrip": false,
|
114 |
+
"single_word": false,
|
115 |
+
"special": true
|
116 |
+
},
|
117 |
+
"151657": {
|
118 |
+
"content": "<tool_call>",
|
119 |
+
"lstrip": false,
|
120 |
+
"normalized": false,
|
121 |
+
"rstrip": false,
|
122 |
+
"single_word": false,
|
123 |
+
"special": false
|
124 |
+
},
|
125 |
+
"151658": {
|
126 |
+
"content": "</tool_call>",
|
127 |
+
"lstrip": false,
|
128 |
+
"normalized": false,
|
129 |
+
"rstrip": false,
|
130 |
+
"single_word": false,
|
131 |
+
"special": false
|
132 |
+
},
|
133 |
+
"151659": {
|
134 |
+
"content": "<|fim_prefix|>",
|
135 |
+
"lstrip": false,
|
136 |
+
"normalized": false,
|
137 |
+
"rstrip": false,
|
138 |
+
"single_word": false,
|
139 |
+
"special": false
|
140 |
+
},
|
141 |
+
"151660": {
|
142 |
+
"content": "<|fim_middle|>",
|
143 |
+
"lstrip": false,
|
144 |
+
"normalized": false,
|
145 |
+
"rstrip": false,
|
146 |
+
"single_word": false,
|
147 |
+
"special": false
|
148 |
+
},
|
149 |
+
"151661": {
|
150 |
+
"content": "<|fim_suffix|>",
|
151 |
+
"lstrip": false,
|
152 |
+
"normalized": false,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": false
|
156 |
+
},
|
157 |
+
"151662": {
|
158 |
+
"content": "<|fim_pad|>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": false,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": false
|
164 |
+
},
|
165 |
+
"151663": {
|
166 |
+
"content": "<|repo_name|>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": false
|
172 |
+
},
|
173 |
+
"151664": {
|
174 |
+
"content": "<|file_sep|>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": false
|
180 |
+
}
|
181 |
+
},
|
182 |
+
"additional_special_tokens": [
|
183 |
+
"<|im_start|>",
|
184 |
+
"<|im_end|>",
|
185 |
+
"<|object_ref_start|>",
|
186 |
+
"<|object_ref_end|>",
|
187 |
+
"<|box_start|>",
|
188 |
+
"<|box_end|>",
|
189 |
+
"<|quad_start|>",
|
190 |
+
"<|quad_end|>",
|
191 |
+
"<|vision_start|>",
|
192 |
+
"<|vision_end|>",
|
193 |
+
"<|vision_pad|>",
|
194 |
+
"<|image_pad|>",
|
195 |
+
"<|video_pad|>"
|
196 |
+
],
|
197 |
+
"bos_token": null,
|
198 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
199 |
+
"clean_up_tokenization_spaces": false,
|
200 |
+
"eos_token": "<|im_end|>",
|
201 |
+
"errors": "replace",
|
202 |
+
"extra_special_tokens": {},
|
203 |
+
"model_max_length": 131072,
|
204 |
+
"pad_token": "<|endoftext|>",
|
205 |
+
"split_special_tokens": false,
|
206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
207 |
+
"unk_token": null
|
208 |
+
}
|
checkpoint-300/trainer_state.json
ADDED
@@ -0,0 +1,3933 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.75,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 300,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"Batch Mean": 0.8096684217453003,
|
13 |
+
"accuracy": 0.625,
|
14 |
+
"epoch": 0,
|
15 |
+
"step": 0
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.0025,
|
19 |
+
"grad_norm": 9.15977954864502,
|
20 |
+
"learning_rate": 2.5000000000000004e-07,
|
21 |
+
"loss": 0.6694,
|
22 |
+
"step": 1
|
23 |
+
},
|
24 |
+
{
|
25 |
+
"Batch Mean": 0.8517913818359375,
|
26 |
+
"accuracy": 0.5234375,
|
27 |
+
"epoch": 0.0025,
|
28 |
+
"step": 1
|
29 |
+
},
|
30 |
+
{
|
31 |
+
"epoch": 0.005,
|
32 |
+
"grad_norm": 9.550761222839355,
|
33 |
+
"learning_rate": 5.000000000000001e-07,
|
34 |
+
"loss": 0.7001,
|
35 |
+
"step": 2
|
36 |
+
},
|
37 |
+
{
|
38 |
+
"Batch Mean": 0.8251190185546875,
|
39 |
+
"accuracy": 0.4921875,
|
40 |
+
"epoch": 0.005,
|
41 |
+
"step": 2
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 0.0075,
|
45 |
+
"grad_norm": 10.096807479858398,
|
46 |
+
"learning_rate": 7.5e-07,
|
47 |
+
"loss": 0.7277,
|
48 |
+
"step": 3
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"Batch Mean": 0.8156070709228516,
|
52 |
+
"accuracy": 0.515625,
|
53 |
+
"epoch": 0.0075,
|
54 |
+
"step": 3
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.01,
|
58 |
+
"grad_norm": 10.845061302185059,
|
59 |
+
"learning_rate": 1.0000000000000002e-06,
|
60 |
+
"loss": 0.7116,
|
61 |
+
"step": 4
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"Batch Mean": 0.772618293762207,
|
65 |
+
"accuracy": 0.53125,
|
66 |
+
"epoch": 0.01,
|
67 |
+
"step": 4
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"epoch": 0.0125,
|
71 |
+
"grad_norm": 10.683115005493164,
|
72 |
+
"learning_rate": 1.25e-06,
|
73 |
+
"loss": 0.7074,
|
74 |
+
"step": 5
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"Batch Mean": 0.7320594787597656,
|
78 |
+
"accuracy": 0.5390625,
|
79 |
+
"epoch": 0.0125,
|
80 |
+
"step": 5
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.015,
|
84 |
+
"grad_norm": 9.102219581604004,
|
85 |
+
"learning_rate": 1.5e-06,
|
86 |
+
"loss": 0.6964,
|
87 |
+
"step": 6
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"Batch Mean": 0.639228105545044,
|
91 |
+
"accuracy": 0.5703125,
|
92 |
+
"epoch": 0.015,
|
93 |
+
"step": 6
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.0175,
|
97 |
+
"grad_norm": 10.126181602478027,
|
98 |
+
"learning_rate": 1.75e-06,
|
99 |
+
"loss": 0.6981,
|
100 |
+
"step": 7
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"Batch Mean": 0.28215163946151733,
|
104 |
+
"accuracy": 0.6015625,
|
105 |
+
"epoch": 0.0175,
|
106 |
+
"step": 7
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 0.02,
|
110 |
+
"grad_norm": 6.3671040534973145,
|
111 |
+
"learning_rate": 2.0000000000000003e-06,
|
112 |
+
"loss": 0.6668,
|
113 |
+
"step": 8
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"Batch Mean": 0.10402120649814606,
|
117 |
+
"accuracy": 0.5234375,
|
118 |
+
"epoch": 0.02,
|
119 |
+
"step": 8
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 0.0225,
|
123 |
+
"grad_norm": 6.053694248199463,
|
124 |
+
"learning_rate": 2.25e-06,
|
125 |
+
"loss": 0.6907,
|
126 |
+
"step": 9
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"Batch Mean": -0.794627845287323,
|
130 |
+
"accuracy": 0.5234375,
|
131 |
+
"epoch": 0.0225,
|
132 |
+
"step": 9
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"epoch": 0.025,
|
136 |
+
"grad_norm": 9.284210205078125,
|
137 |
+
"learning_rate": 2.5e-06,
|
138 |
+
"loss": 0.6879,
|
139 |
+
"step": 10
|
140 |
+
},
|
141 |
+
{
|
142 |
+
"Batch Mean": -1.1373445987701416,
|
143 |
+
"accuracy": 0.59375,
|
144 |
+
"epoch": 0.025,
|
145 |
+
"step": 10
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 0.0275,
|
149 |
+
"grad_norm": 13.110421180725098,
|
150 |
+
"learning_rate": 2.7500000000000004e-06,
|
151 |
+
"loss": 0.6954,
|
152 |
+
"step": 11
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"Batch Mean": -1.2041501998901367,
|
156 |
+
"accuracy": 0.59375,
|
157 |
+
"epoch": 0.0275,
|
158 |
+
"step": 11
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.03,
|
162 |
+
"grad_norm": 13.619694709777832,
|
163 |
+
"learning_rate": 3e-06,
|
164 |
+
"loss": 0.7004,
|
165 |
+
"step": 12
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"Batch Mean": -1.1390533447265625,
|
169 |
+
"accuracy": 0.65625,
|
170 |
+
"epoch": 0.03,
|
171 |
+
"step": 12
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.0325,
|
175 |
+
"grad_norm": 16.698774337768555,
|
176 |
+
"learning_rate": 3.2500000000000002e-06,
|
177 |
+
"loss": 0.6691,
|
178 |
+
"step": 13
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"Batch Mean": -1.2006721496582031,
|
182 |
+
"accuracy": 0.6953125,
|
183 |
+
"epoch": 0.0325,
|
184 |
+
"step": 13
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.035,
|
188 |
+
"grad_norm": 13.031152725219727,
|
189 |
+
"learning_rate": 3.5e-06,
|
190 |
+
"loss": 0.6749,
|
191 |
+
"step": 14
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"Batch Mean": -1.1018962860107422,
|
195 |
+
"accuracy": 0.6484375,
|
196 |
+
"epoch": 0.035,
|
197 |
+
"step": 14
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 0.0375,
|
201 |
+
"grad_norm": 11.913775444030762,
|
202 |
+
"learning_rate": 3.7500000000000005e-06,
|
203 |
+
"loss": 0.6517,
|
204 |
+
"step": 15
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"Batch Mean": -0.8371965289115906,
|
208 |
+
"accuracy": 0.65625,
|
209 |
+
"epoch": 0.0375,
|
210 |
+
"step": 15
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 0.04,
|
214 |
+
"grad_norm": 9.776491165161133,
|
215 |
+
"learning_rate": 4.000000000000001e-06,
|
216 |
+
"loss": 0.6435,
|
217 |
+
"step": 16
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"Batch Mean": -0.25420451164245605,
|
221 |
+
"accuracy": 0.65625,
|
222 |
+
"epoch": 0.04,
|
223 |
+
"step": 16
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 0.0425,
|
227 |
+
"grad_norm": 5.094934940338135,
|
228 |
+
"learning_rate": 4.25e-06,
|
229 |
+
"loss": 0.6352,
|
230 |
+
"step": 17
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"Batch Mean": 0.45112472772598267,
|
234 |
+
"accuracy": 0.625,
|
235 |
+
"epoch": 0.0425,
|
236 |
+
"step": 17
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.045,
|
240 |
+
"grad_norm": 6.203393459320068,
|
241 |
+
"learning_rate": 4.5e-06,
|
242 |
+
"loss": 0.6305,
|
243 |
+
"step": 18
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"Batch Mean": 1.0782840251922607,
|
247 |
+
"accuracy": 0.640625,
|
248 |
+
"epoch": 0.045,
|
249 |
+
"step": 18
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.0475,
|
253 |
+
"grad_norm": 11.932191848754883,
|
254 |
+
"learning_rate": 4.75e-06,
|
255 |
+
"loss": 0.6401,
|
256 |
+
"step": 19
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"Batch Mean": 1.6000666618347168,
|
260 |
+
"accuracy": 0.65625,
|
261 |
+
"epoch": 0.0475,
|
262 |
+
"step": 19
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.05,
|
266 |
+
"grad_norm": 18.466459274291992,
|
267 |
+
"learning_rate": 5e-06,
|
268 |
+
"loss": 0.6928,
|
269 |
+
"step": 20
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"Batch Mean": 1.6292922496795654,
|
273 |
+
"accuracy": 0.65625,
|
274 |
+
"epoch": 0.05,
|
275 |
+
"step": 20
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.0525,
|
279 |
+
"grad_norm": 18.958446502685547,
|
280 |
+
"learning_rate": 4.986842105263158e-06,
|
281 |
+
"loss": 0.6456,
|
282 |
+
"step": 21
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"Batch Mean": 1.0992889404296875,
|
286 |
+
"accuracy": 0.7109375,
|
287 |
+
"epoch": 0.0525,
|
288 |
+
"step": 21
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 0.055,
|
292 |
+
"grad_norm": 12.98255443572998,
|
293 |
+
"learning_rate": 4.973684210526316e-06,
|
294 |
+
"loss": 0.606,
|
295 |
+
"step": 22
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"Batch Mean": 0.33066248893737793,
|
299 |
+
"accuracy": 0.703125,
|
300 |
+
"epoch": 0.055,
|
301 |
+
"step": 22
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 0.0575,
|
305 |
+
"grad_norm": 6.1022725105285645,
|
306 |
+
"learning_rate": 4.960526315789474e-06,
|
307 |
+
"loss": 0.5807,
|
308 |
+
"step": 23
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"Batch Mean": -0.7870486974716187,
|
312 |
+
"accuracy": 0.7109375,
|
313 |
+
"epoch": 0.0575,
|
314 |
+
"step": 23
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.06,
|
318 |
+
"grad_norm": 9.311738014221191,
|
319 |
+
"learning_rate": 4.947368421052632e-06,
|
320 |
+
"loss": 0.5331,
|
321 |
+
"step": 24
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"Batch Mean": -1.2838190793991089,
|
325 |
+
"accuracy": 0.6484375,
|
326 |
+
"epoch": 0.06,
|
327 |
+
"step": 24
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.0625,
|
331 |
+
"grad_norm": 13.955443382263184,
|
332 |
+
"learning_rate": 4.9342105263157895e-06,
|
333 |
+
"loss": 0.6186,
|
334 |
+
"step": 25
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"Batch Mean": -1.324391484260559,
|
338 |
+
"accuracy": 0.6953125,
|
339 |
+
"epoch": 0.0625,
|
340 |
+
"step": 25
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 0.065,
|
344 |
+
"grad_norm": 14.612135887145996,
|
345 |
+
"learning_rate": 4.921052631578948e-06,
|
346 |
+
"loss": 0.5325,
|
347 |
+
"step": 26
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"Batch Mean": -0.7885305881500244,
|
351 |
+
"accuracy": 0.7109375,
|
352 |
+
"epoch": 0.065,
|
353 |
+
"step": 26
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.0675,
|
357 |
+
"grad_norm": 9.373554229736328,
|
358 |
+
"learning_rate": 4.907894736842106e-06,
|
359 |
+
"loss": 0.5549,
|
360 |
+
"step": 27
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"Batch Mean": -0.25717926025390625,
|
364 |
+
"accuracy": 0.6953125,
|
365 |
+
"epoch": 0.0675,
|
366 |
+
"step": 27
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.07,
|
370 |
+
"grad_norm": 5.559288501739502,
|
371 |
+
"learning_rate": 4.894736842105264e-06,
|
372 |
+
"loss": 0.572,
|
373 |
+
"step": 28
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"Batch Mean": 0.7993221282958984,
|
377 |
+
"accuracy": 0.6171875,
|
378 |
+
"epoch": 0.07,
|
379 |
+
"step": 28
|
380 |
+
},
|
381 |
+
{
|
382 |
+
"epoch": 0.0725,
|
383 |
+
"grad_norm": 10.778632164001465,
|
384 |
+
"learning_rate": 4.881578947368422e-06,
|
385 |
+
"loss": 0.6806,
|
386 |
+
"step": 29
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"Batch Mean": 1.2803305387496948,
|
390 |
+
"accuracy": 0.6796875,
|
391 |
+
"epoch": 0.0725,
|
392 |
+
"step": 29
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.075,
|
396 |
+
"grad_norm": 14.314054489135742,
|
397 |
+
"learning_rate": 4.8684210526315795e-06,
|
398 |
+
"loss": 0.641,
|
399 |
+
"step": 30
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"Batch Mean": 1.1847546100616455,
|
403 |
+
"accuracy": 0.7890625,
|
404 |
+
"epoch": 0.075,
|
405 |
+
"step": 30
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.0775,
|
409 |
+
"grad_norm": 12.86508846282959,
|
410 |
+
"learning_rate": 4.855263157894737e-06,
|
411 |
+
"loss": 0.5118,
|
412 |
+
"step": 31
|
413 |
+
},
|
414 |
+
{
|
415 |
+
"Batch Mean": 0.7971279621124268,
|
416 |
+
"accuracy": 0.734375,
|
417 |
+
"epoch": 0.0775,
|
418 |
+
"step": 31
|
419 |
+
},
|
420 |
+
{
|
421 |
+
"epoch": 0.08,
|
422 |
+
"grad_norm": 8.987775802612305,
|
423 |
+
"learning_rate": 4.842105263157895e-06,
|
424 |
+
"loss": 0.5508,
|
425 |
+
"step": 32
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"Batch Mean": -0.12238264083862305,
|
429 |
+
"accuracy": 0.671875,
|
430 |
+
"epoch": 0.08,
|
431 |
+
"step": 32
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.0825,
|
435 |
+
"grad_norm": 4.265674591064453,
|
436 |
+
"learning_rate": 4.828947368421053e-06,
|
437 |
+
"loss": 0.5533,
|
438 |
+
"step": 33
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"Batch Mean": -0.7733749151229858,
|
442 |
+
"accuracy": 0.7265625,
|
443 |
+
"epoch": 0.0825,
|
444 |
+
"step": 33
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.085,
|
448 |
+
"grad_norm": 9.074788093566895,
|
449 |
+
"learning_rate": 4.815789473684211e-06,
|
450 |
+
"loss": 0.5455,
|
451 |
+
"step": 34
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"Batch Mean": -0.9033082723617554,
|
455 |
+
"accuracy": 0.7578125,
|
456 |
+
"epoch": 0.085,
|
457 |
+
"step": 34
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.0875,
|
461 |
+
"grad_norm": 10.331607818603516,
|
462 |
+
"learning_rate": 4.802631578947369e-06,
|
463 |
+
"loss": 0.5539,
|
464 |
+
"step": 35
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"Batch Mean": -0.5780456066131592,
|
468 |
+
"accuracy": 0.7265625,
|
469 |
+
"epoch": 0.0875,
|
470 |
+
"step": 35
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 0.09,
|
474 |
+
"grad_norm": 7.254377365112305,
|
475 |
+
"learning_rate": 4.789473684210527e-06,
|
476 |
+
"loss": 0.547,
|
477 |
+
"step": 36
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"Batch Mean": 0.09664157032966614,
|
481 |
+
"accuracy": 0.6953125,
|
482 |
+
"epoch": 0.09,
|
483 |
+
"step": 36
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 0.0925,
|
487 |
+
"grad_norm": 3.9853391647338867,
|
488 |
+
"learning_rate": 4.7763157894736844e-06,
|
489 |
+
"loss": 0.5451,
|
490 |
+
"step": 37
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"Batch Mean": 0.5406360626220703,
|
494 |
+
"accuracy": 0.7265625,
|
495 |
+
"epoch": 0.0925,
|
496 |
+
"step": 37
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 0.095,
|
500 |
+
"grad_norm": 7.308631896972656,
|
501 |
+
"learning_rate": 4.763157894736842e-06,
|
502 |
+
"loss": 0.5313,
|
503 |
+
"step": 38
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"Batch Mean": 0.6023058891296387,
|
507 |
+
"accuracy": 0.7890625,
|
508 |
+
"epoch": 0.095,
|
509 |
+
"step": 38
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 0.0975,
|
513 |
+
"grad_norm": 7.4278717041015625,
|
514 |
+
"learning_rate": 4.75e-06,
|
515 |
+
"loss": 0.5145,
|
516 |
+
"step": 39
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"Batch Mean": 0.23680943250656128,
|
520 |
+
"accuracy": 0.7890625,
|
521 |
+
"epoch": 0.0975,
|
522 |
+
"step": 39
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 0.1,
|
526 |
+
"grad_norm": 5.057112693786621,
|
527 |
+
"learning_rate": 4.736842105263158e-06,
|
528 |
+
"loss": 0.4793,
|
529 |
+
"step": 40
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"Batch Mean": -0.2819175720214844,
|
533 |
+
"accuracy": 0.75,
|
534 |
+
"epoch": 0.1,
|
535 |
+
"step": 40
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.1025,
|
539 |
+
"grad_norm": 5.986076831817627,
|
540 |
+
"learning_rate": 4.723684210526316e-06,
|
541 |
+
"loss": 0.4989,
|
542 |
+
"step": 41
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"Batch Mean": -0.2952081263065338,
|
546 |
+
"accuracy": 0.765625,
|
547 |
+
"epoch": 0.1025,
|
548 |
+
"step": 41
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.105,
|
552 |
+
"grad_norm": 6.123879432678223,
|
553 |
+
"learning_rate": 4.710526315789474e-06,
|
554 |
+
"loss": 0.4959,
|
555 |
+
"step": 42
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"Batch Mean": -0.5327777862548828,
|
559 |
+
"accuracy": 0.8359375,
|
560 |
+
"epoch": 0.105,
|
561 |
+
"step": 42
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.1075,
|
565 |
+
"grad_norm": 7.773658752441406,
|
566 |
+
"learning_rate": 4.697368421052632e-06,
|
567 |
+
"loss": 0.4501,
|
568 |
+
"step": 43
|
569 |
+
},
|
570 |
+
{
|
571 |
+
"Batch Mean": -0.00808095932006836,
|
572 |
+
"accuracy": 0.7265625,
|
573 |
+
"epoch": 0.1075,
|
574 |
+
"step": 43
|
575 |
+
},
|
576 |
+
{
|
577 |
+
"epoch": 0.11,
|
578 |
+
"grad_norm": 6.165060520172119,
|
579 |
+
"learning_rate": 4.68421052631579e-06,
|
580 |
+
"loss": 0.4952,
|
581 |
+
"step": 44
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"Batch Mean": 0.23638486862182617,
|
585 |
+
"accuracy": 0.7109375,
|
586 |
+
"epoch": 0.11,
|
587 |
+
"step": 44
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 0.1125,
|
591 |
+
"grad_norm": 6.963595390319824,
|
592 |
+
"learning_rate": 4.671052631578948e-06,
|
593 |
+
"loss": 0.5261,
|
594 |
+
"step": 45
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"Batch Mean": 0.07831740379333496,
|
598 |
+
"accuracy": 0.8125,
|
599 |
+
"epoch": 0.1125,
|
600 |
+
"step": 45
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 0.115,
|
604 |
+
"grad_norm": 5.393492221832275,
|
605 |
+
"learning_rate": 4.657894736842106e-06,
|
606 |
+
"loss": 0.405,
|
607 |
+
"step": 46
|
608 |
+
},
|
609 |
+
{
|
610 |
+
"Batch Mean": 0.10195636749267578,
|
611 |
+
"accuracy": 0.75,
|
612 |
+
"epoch": 0.115,
|
613 |
+
"step": 46
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 0.1175,
|
617 |
+
"grad_norm": 9.352888107299805,
|
618 |
+
"learning_rate": 4.6447368421052635e-06,
|
619 |
+
"loss": 0.5726,
|
620 |
+
"step": 47
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"Batch Mean": 0.4460281729698181,
|
624 |
+
"accuracy": 0.7578125,
|
625 |
+
"epoch": 0.1175,
|
626 |
+
"step": 47
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.12,
|
630 |
+
"grad_norm": 9.130428314208984,
|
631 |
+
"learning_rate": 4.631578947368421e-06,
|
632 |
+
"loss": 0.5347,
|
633 |
+
"step": 48
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"Batch Mean": -0.2610776424407959,
|
637 |
+
"accuracy": 0.796875,
|
638 |
+
"epoch": 0.12,
|
639 |
+
"step": 48
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.1225,
|
643 |
+
"grad_norm": 6.863037586212158,
|
644 |
+
"learning_rate": 4.618421052631579e-06,
|
645 |
+
"loss": 0.4456,
|
646 |
+
"step": 49
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"Batch Mean": -0.19384944438934326,
|
650 |
+
"accuracy": 0.6328125,
|
651 |
+
"epoch": 0.1225,
|
652 |
+
"step": 49
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 0.125,
|
656 |
+
"grad_norm": 6.617422103881836,
|
657 |
+
"learning_rate": 4.605263157894737e-06,
|
658 |
+
"loss": 0.5905,
|
659 |
+
"step": 50
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"Batch Mean": -0.4514150619506836,
|
663 |
+
"accuracy": 0.7890625,
|
664 |
+
"epoch": 0.125,
|
665 |
+
"step": 50
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 0.1275,
|
669 |
+
"grad_norm": 7.564980506896973,
|
670 |
+
"learning_rate": 4.592105263157895e-06,
|
671 |
+
"loss": 0.4885,
|
672 |
+
"step": 51
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"Batch Mean": -0.003515481948852539,
|
676 |
+
"accuracy": 0.734375,
|
677 |
+
"epoch": 0.1275,
|
678 |
+
"step": 51
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 0.13,
|
682 |
+
"grad_norm": 5.258878707885742,
|
683 |
+
"learning_rate": 4.578947368421053e-06,
|
684 |
+
"loss": 0.5032,
|
685 |
+
"step": 52
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"Batch Mean": -0.10907495021820068,
|
689 |
+
"accuracy": 0.71875,
|
690 |
+
"epoch": 0.13,
|
691 |
+
"step": 52
|
692 |
+
},
|
693 |
+
{
|
694 |
+
"epoch": 0.1325,
|
695 |
+
"grad_norm": 5.931639194488525,
|
696 |
+
"learning_rate": 4.565789473684211e-06,
|
697 |
+
"loss": 0.542,
|
698 |
+
"step": 53
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"Batch Mean": 0.46248769760131836,
|
702 |
+
"accuracy": 0.7890625,
|
703 |
+
"epoch": 0.1325,
|
704 |
+
"step": 53
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.135,
|
708 |
+
"grad_norm": 7.1796112060546875,
|
709 |
+
"learning_rate": 4.552631578947369e-06,
|
710 |
+
"loss": 0.4685,
|
711 |
+
"step": 54
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"Batch Mean": 0.1234641969203949,
|
715 |
+
"accuracy": 0.7265625,
|
716 |
+
"epoch": 0.135,
|
717 |
+
"step": 54
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.1375,
|
721 |
+
"grad_norm": 6.273733139038086,
|
722 |
+
"learning_rate": 4.539473684210527e-06,
|
723 |
+
"loss": 0.4989,
|
724 |
+
"step": 55
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"Batch Mean": -0.15052831172943115,
|
728 |
+
"accuracy": 0.78125,
|
729 |
+
"epoch": 0.1375,
|
730 |
+
"step": 55
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.14,
|
734 |
+
"grad_norm": 5.630648612976074,
|
735 |
+
"learning_rate": 4.526315789473685e-06,
|
736 |
+
"loss": 0.4518,
|
737 |
+
"step": 56
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"Batch Mean": 0.10203218460083008,
|
741 |
+
"accuracy": 0.75,
|
742 |
+
"epoch": 0.14,
|
743 |
+
"step": 56
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 0.1425,
|
747 |
+
"grad_norm": 5.465209484100342,
|
748 |
+
"learning_rate": 4.513157894736843e-06,
|
749 |
+
"loss": 0.4775,
|
750 |
+
"step": 57
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"Batch Mean": -0.2146952748298645,
|
754 |
+
"accuracy": 0.7578125,
|
755 |
+
"epoch": 0.1425,
|
756 |
+
"step": 57
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 0.145,
|
760 |
+
"grad_norm": 5.516883373260498,
|
761 |
+
"learning_rate": 4.5e-06,
|
762 |
+
"loss": 0.4672,
|
763 |
+
"step": 58
|
764 |
+
},
|
765 |
+
{
|
766 |
+
"Batch Mean": 0.39426422119140625,
|
767 |
+
"accuracy": 0.7734375,
|
768 |
+
"epoch": 0.145,
|
769 |
+
"step": 58
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 0.1475,
|
773 |
+
"grad_norm": 6.986379146575928,
|
774 |
+
"learning_rate": 4.4868421052631584e-06,
|
775 |
+
"loss": 0.4851,
|
776 |
+
"step": 59
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"Batch Mean": 0.1964409053325653,
|
780 |
+
"accuracy": 0.75,
|
781 |
+
"epoch": 0.1475,
|
782 |
+
"step": 59
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 0.15,
|
786 |
+
"grad_norm": 6.413231372833252,
|
787 |
+
"learning_rate": 4.473684210526316e-06,
|
788 |
+
"loss": 0.5073,
|
789 |
+
"step": 60
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"Batch Mean": -0.21541327238082886,
|
793 |
+
"accuracy": 0.7890625,
|
794 |
+
"epoch": 0.15,
|
795 |
+
"step": 60
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 0.1525,
|
799 |
+
"grad_norm": 5.495061874389648,
|
800 |
+
"learning_rate": 4.460526315789474e-06,
|
801 |
+
"loss": 0.4751,
|
802 |
+
"step": 61
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"Batch Mean": -0.3059917688369751,
|
806 |
+
"accuracy": 0.7890625,
|
807 |
+
"epoch": 0.1525,
|
808 |
+
"step": 61
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 0.155,
|
812 |
+
"grad_norm": 6.379850387573242,
|
813 |
+
"learning_rate": 4.447368421052632e-06,
|
814 |
+
"loss": 0.4679,
|
815 |
+
"step": 62
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"Batch Mean": -0.5860270261764526,
|
819 |
+
"accuracy": 0.8046875,
|
820 |
+
"epoch": 0.155,
|
821 |
+
"step": 62
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.1575,
|
825 |
+
"grad_norm": 8.42182731628418,
|
826 |
+
"learning_rate": 4.43421052631579e-06,
|
827 |
+
"loss": 0.4152,
|
828 |
+
"step": 63
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"Batch Mean": 0.14216375350952148,
|
832 |
+
"accuracy": 0.7578125,
|
833 |
+
"epoch": 0.1575,
|
834 |
+
"step": 63
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 0.16,
|
838 |
+
"grad_norm": 6.759493827819824,
|
839 |
+
"learning_rate": 4.4210526315789476e-06,
|
840 |
+
"loss": 0.4852,
|
841 |
+
"step": 64
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"Batch Mean": 0.3515692353248596,
|
845 |
+
"accuracy": 0.796875,
|
846 |
+
"epoch": 0.16,
|
847 |
+
"step": 64
|
848 |
+
},
|
849 |
+
{
|
850 |
+
"epoch": 0.1625,
|
851 |
+
"grad_norm": 7.567401885986328,
|
852 |
+
"learning_rate": 4.407894736842105e-06,
|
853 |
+
"loss": 0.4449,
|
854 |
+
"step": 65
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"Batch Mean": 0.281324565410614,
|
858 |
+
"accuracy": 0.765625,
|
859 |
+
"epoch": 0.1625,
|
860 |
+
"step": 65
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 0.165,
|
864 |
+
"grad_norm": 7.912868022918701,
|
865 |
+
"learning_rate": 4.394736842105263e-06,
|
866 |
+
"loss": 0.5717,
|
867 |
+
"step": 66
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"Batch Mean": 0.07387387752532959,
|
871 |
+
"accuracy": 0.796875,
|
872 |
+
"epoch": 0.165,
|
873 |
+
"step": 66
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 0.1675,
|
877 |
+
"grad_norm": 5.737614631652832,
|
878 |
+
"learning_rate": 4.381578947368421e-06,
|
879 |
+
"loss": 0.4532,
|
880 |
+
"step": 67
|
881 |
+
},
|
882 |
+
{
|
883 |
+
"Batch Mean": -0.45137548446655273,
|
884 |
+
"accuracy": 0.7734375,
|
885 |
+
"epoch": 0.1675,
|
886 |
+
"step": 67
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 0.17,
|
890 |
+
"grad_norm": 9.204909324645996,
|
891 |
+
"learning_rate": 4.368421052631579e-06,
|
892 |
+
"loss": 0.501,
|
893 |
+
"step": 68
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"Batch Mean": -0.12238574028015137,
|
897 |
+
"accuracy": 0.828125,
|
898 |
+
"epoch": 0.17,
|
899 |
+
"step": 68
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 0.1725,
|
903 |
+
"grad_norm": 6.6219162940979,
|
904 |
+
"learning_rate": 4.3552631578947375e-06,
|
905 |
+
"loss": 0.416,
|
906 |
+
"step": 69
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"Batch Mean": 0.06974506378173828,
|
910 |
+
"accuracy": 0.78125,
|
911 |
+
"epoch": 0.1725,
|
912 |
+
"step": 69
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.175,
|
916 |
+
"grad_norm": 5.526142120361328,
|
917 |
+
"learning_rate": 4.342105263157895e-06,
|
918 |
+
"loss": 0.4364,
|
919 |
+
"step": 70
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"Batch Mean": 0.3401278257369995,
|
923 |
+
"accuracy": 0.8359375,
|
924 |
+
"epoch": 0.175,
|
925 |
+
"step": 70
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 0.1775,
|
929 |
+
"grad_norm": 6.567529678344727,
|
930 |
+
"learning_rate": 4.328947368421053e-06,
|
931 |
+
"loss": 0.4396,
|
932 |
+
"step": 71
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"Batch Mean": -0.12450069189071655,
|
936 |
+
"accuracy": 0.75,
|
937 |
+
"epoch": 0.1775,
|
938 |
+
"step": 71
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 0.18,
|
942 |
+
"grad_norm": 6.054138660430908,
|
943 |
+
"learning_rate": 4.315789473684211e-06,
|
944 |
+
"loss": 0.4604,
|
945 |
+
"step": 72
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"Batch Mean": 0.0036773681640625,
|
949 |
+
"accuracy": 0.7890625,
|
950 |
+
"epoch": 0.18,
|
951 |
+
"step": 72
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 0.1825,
|
955 |
+
"grad_norm": 6.112196445465088,
|
956 |
+
"learning_rate": 4.302631578947369e-06,
|
957 |
+
"loss": 0.4091,
|
958 |
+
"step": 73
|
959 |
+
},
|
960 |
+
{
|
961 |
+
"Batch Mean": -0.3432164192199707,
|
962 |
+
"accuracy": 0.7890625,
|
963 |
+
"epoch": 0.1825,
|
964 |
+
"step": 73
|
965 |
+
},
|
966 |
+
{
|
967 |
+
"epoch": 0.185,
|
968 |
+
"grad_norm": 6.806588649749756,
|
969 |
+
"learning_rate": 4.289473684210527e-06,
|
970 |
+
"loss": 0.4194,
|
971 |
+
"step": 74
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"Batch Mean": -0.10890483856201172,
|
975 |
+
"accuracy": 0.671875,
|
976 |
+
"epoch": 0.185,
|
977 |
+
"step": 74
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 0.1875,
|
981 |
+
"grad_norm": 7.000553131103516,
|
982 |
+
"learning_rate": 4.276315789473684e-06,
|
983 |
+
"loss": 0.5318,
|
984 |
+
"step": 75
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"Batch Mean": 0.6419280171394348,
|
988 |
+
"accuracy": 0.7265625,
|
989 |
+
"epoch": 0.1875,
|
990 |
+
"step": 75
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 0.19,
|
994 |
+
"grad_norm": 8.422764778137207,
|
995 |
+
"learning_rate": 4.2631578947368425e-06,
|
996 |
+
"loss": 0.4539,
|
997 |
+
"step": 76
|
998 |
+
},
|
999 |
+
{
|
1000 |
+
"Batch Mean": 0.28451067209243774,
|
1001 |
+
"accuracy": 0.7734375,
|
1002 |
+
"epoch": 0.19,
|
1003 |
+
"step": 76
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.1925,
|
1007 |
+
"grad_norm": 6.512566566467285,
|
1008 |
+
"learning_rate": 4.25e-06,
|
1009 |
+
"loss": 0.4522,
|
1010 |
+
"step": 77
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"Batch Mean": -0.07123541831970215,
|
1014 |
+
"accuracy": 0.8125,
|
1015 |
+
"epoch": 0.1925,
|
1016 |
+
"step": 77
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 0.195,
|
1020 |
+
"grad_norm": 6.979062080383301,
|
1021 |
+
"learning_rate": 4.236842105263158e-06,
|
1022 |
+
"loss": 0.4827,
|
1023 |
+
"step": 78
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"Batch Mean": -0.2889130115509033,
|
1027 |
+
"accuracy": 0.71875,
|
1028 |
+
"epoch": 0.195,
|
1029 |
+
"step": 78
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 0.1975,
|
1033 |
+
"grad_norm": 7.523491859436035,
|
1034 |
+
"learning_rate": 4.223684210526316e-06,
|
1035 |
+
"loss": 0.4501,
|
1036 |
+
"step": 79
|
1037 |
+
},
|
1038 |
+
{
|
1039 |
+
"Batch Mean": -0.2912619113922119,
|
1040 |
+
"accuracy": 0.8046875,
|
1041 |
+
"epoch": 0.1975,
|
1042 |
+
"step": 79
|
1043 |
+
},
|
1044 |
+
{
|
1045 |
+
"epoch": 0.2,
|
1046 |
+
"grad_norm": 6.1573662757873535,
|
1047 |
+
"learning_rate": 4.210526315789474e-06,
|
1048 |
+
"loss": 0.4537,
|
1049 |
+
"step": 80
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"Batch Mean": 0.07626897096633911,
|
1053 |
+
"accuracy": 0.84375,
|
1054 |
+
"epoch": 0.2,
|
1055 |
+
"step": 80
|
1056 |
+
},
|
1057 |
+
{
|
1058 |
+
"epoch": 0.2025,
|
1059 |
+
"grad_norm": 5.308783054351807,
|
1060 |
+
"learning_rate": 4.197368421052632e-06,
|
1061 |
+
"loss": 0.3777,
|
1062 |
+
"step": 81
|
1063 |
+
},
|
1064 |
+
{
|
1065 |
+
"Batch Mean": 0.44231414794921875,
|
1066 |
+
"accuracy": 0.78125,
|
1067 |
+
"epoch": 0.2025,
|
1068 |
+
"step": 81
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 0.205,
|
1072 |
+
"grad_norm": 7.6725969314575195,
|
1073 |
+
"learning_rate": 4.18421052631579e-06,
|
1074 |
+
"loss": 0.4681,
|
1075 |
+
"step": 82
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"Batch Mean": 0.05066095292568207,
|
1079 |
+
"accuracy": 0.7734375,
|
1080 |
+
"epoch": 0.205,
|
1081 |
+
"step": 82
|
1082 |
+
},
|
1083 |
+
{
|
1084 |
+
"epoch": 0.2075,
|
1085 |
+
"grad_norm": 6.136054039001465,
|
1086 |
+
"learning_rate": 4.171052631578948e-06,
|
1087 |
+
"loss": 0.4111,
|
1088 |
+
"step": 83
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"Batch Mean": 0.11537289619445801,
|
1092 |
+
"accuracy": 0.8515625,
|
1093 |
+
"epoch": 0.2075,
|
1094 |
+
"step": 83
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.21,
|
1098 |
+
"grad_norm": 5.31056022644043,
|
1099 |
+
"learning_rate": 4.157894736842106e-06,
|
1100 |
+
"loss": 0.345,
|
1101 |
+
"step": 84
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"Batch Mean": 0.05826067924499512,
|
1105 |
+
"accuracy": 0.734375,
|
1106 |
+
"epoch": 0.21,
|
1107 |
+
"step": 84
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 0.2125,
|
1111 |
+
"grad_norm": 6.368407249450684,
|
1112 |
+
"learning_rate": 4.144736842105263e-06,
|
1113 |
+
"loss": 0.4834,
|
1114 |
+
"step": 85
|
1115 |
+
},
|
1116 |
+
{
|
1117 |
+
"Batch Mean": -0.05756664276123047,
|
1118 |
+
"accuracy": 0.75,
|
1119 |
+
"epoch": 0.2125,
|
1120 |
+
"step": 85
|
1121 |
+
},
|
1122 |
+
{
|
1123 |
+
"epoch": 0.215,
|
1124 |
+
"grad_norm": 7.063327312469482,
|
1125 |
+
"learning_rate": 4.1315789473684216e-06,
|
1126 |
+
"loss": 0.5013,
|
1127 |
+
"step": 86
|
1128 |
+
},
|
1129 |
+
{
|
1130 |
+
"Batch Mean": -0.08471214771270752,
|
1131 |
+
"accuracy": 0.8046875,
|
1132 |
+
"epoch": 0.215,
|
1133 |
+
"step": 86
|
1134 |
+
},
|
1135 |
+
{
|
1136 |
+
"epoch": 0.2175,
|
1137 |
+
"grad_norm": 6.508166313171387,
|
1138 |
+
"learning_rate": 4.118421052631579e-06,
|
1139 |
+
"loss": 0.4431,
|
1140 |
+
"step": 87
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"Batch Mean": -0.06070905923843384,
|
1144 |
+
"accuracy": 0.703125,
|
1145 |
+
"epoch": 0.2175,
|
1146 |
+
"step": 87
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 0.22,
|
1150 |
+
"grad_norm": 7.8081583976745605,
|
1151 |
+
"learning_rate": 4.105263157894737e-06,
|
1152 |
+
"loss": 0.5481,
|
1153 |
+
"step": 88
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"Batch Mean": -0.15125751495361328,
|
1157 |
+
"accuracy": 0.8046875,
|
1158 |
+
"epoch": 0.22,
|
1159 |
+
"step": 88
|
1160 |
+
},
|
1161 |
+
{
|
1162 |
+
"epoch": 0.2225,
|
1163 |
+
"grad_norm": 5.806808948516846,
|
1164 |
+
"learning_rate": 4.092105263157895e-06,
|
1165 |
+
"loss": 0.3994,
|
1166 |
+
"step": 89
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"Batch Mean": -0.0017851591110229492,
|
1170 |
+
"accuracy": 0.828125,
|
1171 |
+
"epoch": 0.2225,
|
1172 |
+
"step": 89
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 0.225,
|
1176 |
+
"grad_norm": 5.560466766357422,
|
1177 |
+
"learning_rate": 4.078947368421053e-06,
|
1178 |
+
"loss": 0.4,
|
1179 |
+
"step": 90
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"Batch Mean": 0.07748031616210938,
|
1183 |
+
"accuracy": 0.8046875,
|
1184 |
+
"epoch": 0.225,
|
1185 |
+
"step": 90
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.2275,
|
1189 |
+
"grad_norm": 5.754173278808594,
|
1190 |
+
"learning_rate": 4.065789473684211e-06,
|
1191 |
+
"loss": 0.4019,
|
1192 |
+
"step": 91
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"Batch Mean": -0.24073825776576996,
|
1196 |
+
"accuracy": 0.78125,
|
1197 |
+
"epoch": 0.2275,
|
1198 |
+
"step": 91
|
1199 |
+
},
|
1200 |
+
{
|
1201 |
+
"epoch": 0.23,
|
1202 |
+
"grad_norm": 6.231720447540283,
|
1203 |
+
"learning_rate": 4.052631578947368e-06,
|
1204 |
+
"loss": 0.4585,
|
1205 |
+
"step": 92
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"Batch Mean": -0.45170480012893677,
|
1209 |
+
"accuracy": 0.75,
|
1210 |
+
"epoch": 0.23,
|
1211 |
+
"step": 92
|
1212 |
+
},
|
1213 |
+
{
|
1214 |
+
"epoch": 0.2325,
|
1215 |
+
"grad_norm": 7.313357353210449,
|
1216 |
+
"learning_rate": 4.0394736842105265e-06,
|
1217 |
+
"loss": 0.4762,
|
1218 |
+
"step": 93
|
1219 |
+
},
|
1220 |
+
{
|
1221 |
+
"Batch Mean": 0.024792194366455078,
|
1222 |
+
"accuracy": 0.796875,
|
1223 |
+
"epoch": 0.2325,
|
1224 |
+
"step": 93
|
1225 |
+
},
|
1226 |
+
{
|
1227 |
+
"epoch": 0.235,
|
1228 |
+
"grad_norm": 4.933104515075684,
|
1229 |
+
"learning_rate": 4.026315789473684e-06,
|
1230 |
+
"loss": 0.4138,
|
1231 |
+
"step": 94
|
1232 |
+
},
|
1233 |
+
{
|
1234 |
+
"Batch Mean": -0.02751898765563965,
|
1235 |
+
"accuracy": 0.7421875,
|
1236 |
+
"epoch": 0.235,
|
1237 |
+
"step": 94
|
1238 |
+
},
|
1239 |
+
{
|
1240 |
+
"epoch": 0.2375,
|
1241 |
+
"grad_norm": 5.39032506942749,
|
1242 |
+
"learning_rate": 4.013157894736842e-06,
|
1243 |
+
"loss": 0.4787,
|
1244 |
+
"step": 95
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"Batch Mean": 0.06753873825073242,
|
1248 |
+
"accuracy": 0.8203125,
|
1249 |
+
"epoch": 0.2375,
|
1250 |
+
"step": 95
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 0.24,
|
1254 |
+
"grad_norm": 5.1791462898254395,
|
1255 |
+
"learning_rate": 4.000000000000001e-06,
|
1256 |
+
"loss": 0.4488,
|
1257 |
+
"step": 96
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"Batch Mean": 0.22616100311279297,
|
1261 |
+
"accuracy": 0.828125,
|
1262 |
+
"epoch": 0.24,
|
1263 |
+
"step": 96
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 0.2425,
|
1267 |
+
"grad_norm": 5.300809383392334,
|
1268 |
+
"learning_rate": 3.986842105263158e-06,
|
1269 |
+
"loss": 0.4142,
|
1270 |
+
"step": 97
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"Batch Mean": -0.15787070989608765,
|
1274 |
+
"accuracy": 0.8515625,
|
1275 |
+
"epoch": 0.2425,
|
1276 |
+
"step": 97
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.245,
|
1280 |
+
"grad_norm": 5.704384803771973,
|
1281 |
+
"learning_rate": 3.9736842105263165e-06,
|
1282 |
+
"loss": 0.3797,
|
1283 |
+
"step": 98
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"Batch Mean": 0.13187718391418457,
|
1287 |
+
"accuracy": 0.8046875,
|
1288 |
+
"epoch": 0.245,
|
1289 |
+
"step": 98
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 0.2475,
|
1293 |
+
"grad_norm": 6.045483589172363,
|
1294 |
+
"learning_rate": 3.960526315789474e-06,
|
1295 |
+
"loss": 0.5195,
|
1296 |
+
"step": 99
|
1297 |
+
},
|
1298 |
+
{
|
1299 |
+
"Batch Mean": -0.08533608913421631,
|
1300 |
+
"accuracy": 0.8203125,
|
1301 |
+
"epoch": 0.2475,
|
1302 |
+
"step": 99
|
1303 |
+
},
|
1304 |
+
{
|
1305 |
+
"epoch": 0.25,
|
1306 |
+
"grad_norm": 4.997817516326904,
|
1307 |
+
"learning_rate": 3.947368421052632e-06,
|
1308 |
+
"loss": 0.3816,
|
1309 |
+
"step": 100
|
1310 |
+
},
|
1311 |
+
{
|
1312 |
+
"Batch Mean": 0.028887659311294556,
|
1313 |
+
"accuracy": 0.7421875,
|
1314 |
+
"epoch": 0.25,
|
1315 |
+
"step": 100
|
1316 |
+
},
|
1317 |
+
{
|
1318 |
+
"epoch": 0.2525,
|
1319 |
+
"grad_norm": 5.863315105438232,
|
1320 |
+
"learning_rate": 3.93421052631579e-06,
|
1321 |
+
"loss": 0.478,
|
1322 |
+
"step": 101
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"Batch Mean": 0.17493167519569397,
|
1326 |
+
"accuracy": 0.796875,
|
1327 |
+
"epoch": 0.2525,
|
1328 |
+
"step": 101
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 0.255,
|
1332 |
+
"grad_norm": 5.986959934234619,
|
1333 |
+
"learning_rate": 3.921052631578947e-06,
|
1334 |
+
"loss": 0.4283,
|
1335 |
+
"step": 102
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"Batch Mean": 0.19265401363372803,
|
1339 |
+
"accuracy": 0.8125,
|
1340 |
+
"epoch": 0.255,
|
1341 |
+
"step": 102
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 0.2575,
|
1345 |
+
"grad_norm": 5.091299533843994,
|
1346 |
+
"learning_rate": 3.907894736842106e-06,
|
1347 |
+
"loss": 0.352,
|
1348 |
+
"step": 103
|
1349 |
+
},
|
1350 |
+
{
|
1351 |
+
"Batch Mean": -0.2604933977127075,
|
1352 |
+
"accuracy": 0.75,
|
1353 |
+
"epoch": 0.2575,
|
1354 |
+
"step": 103
|
1355 |
+
},
|
1356 |
+
{
|
1357 |
+
"epoch": 0.26,
|
1358 |
+
"grad_norm": 6.963299751281738,
|
1359 |
+
"learning_rate": 3.894736842105263e-06,
|
1360 |
+
"loss": 0.4583,
|
1361 |
+
"step": 104
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"Batch Mean": -0.21034908294677734,
|
1365 |
+
"accuracy": 0.7734375,
|
1366 |
+
"epoch": 0.26,
|
1367 |
+
"step": 104
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.2625,
|
1371 |
+
"grad_norm": 7.000269889831543,
|
1372 |
+
"learning_rate": 3.8815789473684214e-06,
|
1373 |
+
"loss": 0.3837,
|
1374 |
+
"step": 105
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"Batch Mean": -0.10478854179382324,
|
1378 |
+
"accuracy": 0.8359375,
|
1379 |
+
"epoch": 0.2625,
|
1380 |
+
"step": 105
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 0.265,
|
1384 |
+
"grad_norm": 6.25542688369751,
|
1385 |
+
"learning_rate": 3.868421052631579e-06,
|
1386 |
+
"loss": 0.3928,
|
1387 |
+
"step": 106
|
1388 |
+
},
|
1389 |
+
{
|
1390 |
+
"Batch Mean": 0.35255885124206543,
|
1391 |
+
"accuracy": 0.7734375,
|
1392 |
+
"epoch": 0.265,
|
1393 |
+
"step": 106
|
1394 |
+
},
|
1395 |
+
{
|
1396 |
+
"epoch": 0.2675,
|
1397 |
+
"grad_norm": 8.28545093536377,
|
1398 |
+
"learning_rate": 3.855263157894737e-06,
|
1399 |
+
"loss": 0.4785,
|
1400 |
+
"step": 107
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"Batch Mean": 0.4886665344238281,
|
1404 |
+
"accuracy": 0.7734375,
|
1405 |
+
"epoch": 0.2675,
|
1406 |
+
"step": 107
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 0.27,
|
1410 |
+
"grad_norm": 9.611257553100586,
|
1411 |
+
"learning_rate": 3.842105263157895e-06,
|
1412 |
+
"loss": 0.4635,
|
1413 |
+
"step": 108
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"Batch Mean": -0.06474494934082031,
|
1417 |
+
"accuracy": 0.8046875,
|
1418 |
+
"epoch": 0.27,
|
1419 |
+
"step": 108
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 0.2725,
|
1423 |
+
"grad_norm": 7.419112682342529,
|
1424 |
+
"learning_rate": 3.828947368421053e-06,
|
1425 |
+
"loss": 0.4225,
|
1426 |
+
"step": 109
|
1427 |
+
},
|
1428 |
+
{
|
1429 |
+
"Batch Mean": -0.12506628036499023,
|
1430 |
+
"accuracy": 0.8515625,
|
1431 |
+
"epoch": 0.2725,
|
1432 |
+
"step": 109
|
1433 |
+
},
|
1434 |
+
{
|
1435 |
+
"epoch": 0.275,
|
1436 |
+
"grad_norm": 6.5173020362854,
|
1437 |
+
"learning_rate": 3.815789473684211e-06,
|
1438 |
+
"loss": 0.3518,
|
1439 |
+
"step": 110
|
1440 |
+
},
|
1441 |
+
{
|
1442 |
+
"Batch Mean": -0.12815812230110168,
|
1443 |
+
"accuracy": 0.921875,
|
1444 |
+
"epoch": 0.275,
|
1445 |
+
"step": 110
|
1446 |
+
},
|
1447 |
+
{
|
1448 |
+
"epoch": 0.2775,
|
1449 |
+
"grad_norm": 5.361306667327881,
|
1450 |
+
"learning_rate": 3.802631578947369e-06,
|
1451 |
+
"loss": 0.269,
|
1452 |
+
"step": 111
|
1453 |
+
},
|
1454 |
+
{
|
1455 |
+
"Batch Mean": -0.20336151123046875,
|
1456 |
+
"accuracy": 0.890625,
|
1457 |
+
"epoch": 0.2775,
|
1458 |
+
"step": 111
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.28,
|
1462 |
+
"grad_norm": 6.405649662017822,
|
1463 |
+
"learning_rate": 3.789473684210527e-06,
|
1464 |
+
"loss": 0.2563,
|
1465 |
+
"step": 112
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"Batch Mean": 0.22764039039611816,
|
1469 |
+
"accuracy": 0.8203125,
|
1470 |
+
"epoch": 0.28,
|
1471 |
+
"step": 112
|
1472 |
+
},
|
1473 |
+
{
|
1474 |
+
"epoch": 0.2825,
|
1475 |
+
"grad_norm": 8.156770706176758,
|
1476 |
+
"learning_rate": 3.7763157894736847e-06,
|
1477 |
+
"loss": 0.4163,
|
1478 |
+
"step": 113
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"Batch Mean": 0.27307558059692383,
|
1482 |
+
"accuracy": 0.859375,
|
1483 |
+
"epoch": 0.2825,
|
1484 |
+
"step": 113
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 0.285,
|
1488 |
+
"grad_norm": 7.346747875213623,
|
1489 |
+
"learning_rate": 3.7631578947368426e-06,
|
1490 |
+
"loss": 0.3815,
|
1491 |
+
"step": 114
|
1492 |
+
},
|
1493 |
+
{
|
1494 |
+
"Batch Mean": 0.6259889602661133,
|
1495 |
+
"accuracy": 0.75,
|
1496 |
+
"epoch": 0.285,
|
1497 |
+
"step": 114
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 0.2875,
|
1501 |
+
"grad_norm": 12.56270980834961,
|
1502 |
+
"learning_rate": 3.7500000000000005e-06,
|
1503 |
+
"loss": 0.5411,
|
1504 |
+
"step": 115
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"Batch Mean": -0.13174670934677124,
|
1508 |
+
"accuracy": 0.8046875,
|
1509 |
+
"epoch": 0.2875,
|
1510 |
+
"step": 115
|
1511 |
+
},
|
1512 |
+
{
|
1513 |
+
"epoch": 0.29,
|
1514 |
+
"grad_norm": 7.563482761383057,
|
1515 |
+
"learning_rate": 3.736842105263158e-06,
|
1516 |
+
"loss": 0.4455,
|
1517 |
+
"step": 116
|
1518 |
+
},
|
1519 |
+
{
|
1520 |
+
"Batch Mean": -0.8023077249526978,
|
1521 |
+
"accuracy": 0.8046875,
|
1522 |
+
"epoch": 0.29,
|
1523 |
+
"step": 116
|
1524 |
+
},
|
1525 |
+
{
|
1526 |
+
"epoch": 0.2925,
|
1527 |
+
"grad_norm": 10.422194480895996,
|
1528 |
+
"learning_rate": 3.723684210526316e-06,
|
1529 |
+
"loss": 0.3826,
|
1530 |
+
"step": 117
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"Batch Mean": -0.7135447263717651,
|
1534 |
+
"accuracy": 0.796875,
|
1535 |
+
"epoch": 0.2925,
|
1536 |
+
"step": 117
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 0.295,
|
1540 |
+
"grad_norm": 9.252284049987793,
|
1541 |
+
"learning_rate": 3.710526315789474e-06,
|
1542 |
+
"loss": 0.4201,
|
1543 |
+
"step": 118
|
1544 |
+
},
|
1545 |
+
{
|
1546 |
+
"Batch Mean": -0.24731099605560303,
|
1547 |
+
"accuracy": 0.7578125,
|
1548 |
+
"epoch": 0.295,
|
1549 |
+
"step": 118
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.2975,
|
1553 |
+
"grad_norm": 6.945714473724365,
|
1554 |
+
"learning_rate": 3.6973684210526317e-06,
|
1555 |
+
"loss": 0.461,
|
1556 |
+
"step": 119
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"Batch Mean": 0.4304164946079254,
|
1560 |
+
"accuracy": 0.8359375,
|
1561 |
+
"epoch": 0.2975,
|
1562 |
+
"step": 119
|
1563 |
+
},
|
1564 |
+
{
|
1565 |
+
"epoch": 0.3,
|
1566 |
+
"grad_norm": 7.393038749694824,
|
1567 |
+
"learning_rate": 3.6842105263157896e-06,
|
1568 |
+
"loss": 0.3897,
|
1569 |
+
"step": 120
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"Batch Mean": 0.24881935119628906,
|
1573 |
+
"accuracy": 0.7890625,
|
1574 |
+
"epoch": 0.3,
|
1575 |
+
"step": 120
|
1576 |
+
},
|
1577 |
+
{
|
1578 |
+
"epoch": 0.3025,
|
1579 |
+
"grad_norm": 6.129741668701172,
|
1580 |
+
"learning_rate": 3.6710526315789476e-06,
|
1581 |
+
"loss": 0.3894,
|
1582 |
+
"step": 121
|
1583 |
+
},
|
1584 |
+
{
|
1585 |
+
"Batch Mean": 0.09764862060546875,
|
1586 |
+
"accuracy": 0.828125,
|
1587 |
+
"epoch": 0.3025,
|
1588 |
+
"step": 121
|
1589 |
+
},
|
1590 |
+
{
|
1591 |
+
"epoch": 0.305,
|
1592 |
+
"grad_norm": 5.265136241912842,
|
1593 |
+
"learning_rate": 3.657894736842106e-06,
|
1594 |
+
"loss": 0.3733,
|
1595 |
+
"step": 122
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"Batch Mean": 0.17956316471099854,
|
1599 |
+
"accuracy": 0.8046875,
|
1600 |
+
"epoch": 0.305,
|
1601 |
+
"step": 122
|
1602 |
+
},
|
1603 |
+
{
|
1604 |
+
"epoch": 0.3075,
|
1605 |
+
"grad_norm": 4.876620769500732,
|
1606 |
+
"learning_rate": 3.644736842105264e-06,
|
1607 |
+
"loss": 0.3689,
|
1608 |
+
"step": 123
|
1609 |
+
},
|
1610 |
+
{
|
1611 |
+
"Batch Mean": 0.19482755661010742,
|
1612 |
+
"accuracy": 0.8203125,
|
1613 |
+
"epoch": 0.3075,
|
1614 |
+
"step": 123
|
1615 |
+
},
|
1616 |
+
{
|
1617 |
+
"epoch": 0.31,
|
1618 |
+
"grad_norm": 6.0671162605285645,
|
1619 |
+
"learning_rate": 3.6315789473684217e-06,
|
1620 |
+
"loss": 0.4151,
|
1621 |
+
"step": 124
|
1622 |
+
},
|
1623 |
+
{
|
1624 |
+
"Batch Mean": -0.07992386817932129,
|
1625 |
+
"accuracy": 0.828125,
|
1626 |
+
"epoch": 0.31,
|
1627 |
+
"step": 124
|
1628 |
+
},
|
1629 |
+
{
|
1630 |
+
"epoch": 0.3125,
|
1631 |
+
"grad_norm": 5.630014419555664,
|
1632 |
+
"learning_rate": 3.618421052631579e-06,
|
1633 |
+
"loss": 0.406,
|
1634 |
+
"step": 125
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"Batch Mean": -0.01944279670715332,
|
1638 |
+
"accuracy": 0.8515625,
|
1639 |
+
"epoch": 0.3125,
|
1640 |
+
"step": 125
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.315,
|
1644 |
+
"grad_norm": 5.250101566314697,
|
1645 |
+
"learning_rate": 3.605263157894737e-06,
|
1646 |
+
"loss": 0.3816,
|
1647 |
+
"step": 126
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"Batch Mean": -0.18266761302947998,
|
1651 |
+
"accuracy": 0.8203125,
|
1652 |
+
"epoch": 0.315,
|
1653 |
+
"step": 126
|
1654 |
+
},
|
1655 |
+
{
|
1656 |
+
"epoch": 0.3175,
|
1657 |
+
"grad_norm": 6.644626617431641,
|
1658 |
+
"learning_rate": 3.592105263157895e-06,
|
1659 |
+
"loss": 0.4098,
|
1660 |
+
"step": 127
|
1661 |
+
},
|
1662 |
+
{
|
1663 |
+
"Batch Mean": 0.12618303298950195,
|
1664 |
+
"accuracy": 0.8359375,
|
1665 |
+
"epoch": 0.3175,
|
1666 |
+
"step": 127
|
1667 |
+
},
|
1668 |
+
{
|
1669 |
+
"epoch": 0.32,
|
1670 |
+
"grad_norm": 5.627920627593994,
|
1671 |
+
"learning_rate": 3.578947368421053e-06,
|
1672 |
+
"loss": 0.3854,
|
1673 |
+
"step": 128
|
1674 |
+
},
|
1675 |
+
{
|
1676 |
+
"Batch Mean": -0.33390331268310547,
|
1677 |
+
"accuracy": 0.8046875,
|
1678 |
+
"epoch": 0.32,
|
1679 |
+
"step": 128
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 0.3225,
|
1683 |
+
"grad_norm": 7.37267541885376,
|
1684 |
+
"learning_rate": 3.565789473684211e-06,
|
1685 |
+
"loss": 0.4615,
|
1686 |
+
"step": 129
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"Batch Mean": -0.06647157669067383,
|
1690 |
+
"accuracy": 0.8125,
|
1691 |
+
"epoch": 0.3225,
|
1692 |
+
"step": 129
|
1693 |
+
},
|
1694 |
+
{
|
1695 |
+
"epoch": 0.325,
|
1696 |
+
"grad_norm": 6.135495185852051,
|
1697 |
+
"learning_rate": 3.5526315789473687e-06,
|
1698 |
+
"loss": 0.3621,
|
1699 |
+
"step": 130
|
1700 |
+
},
|
1701 |
+
{
|
1702 |
+
"Batch Mean": 0.4405427575111389,
|
1703 |
+
"accuracy": 0.75,
|
1704 |
+
"epoch": 0.325,
|
1705 |
+
"step": 130
|
1706 |
+
},
|
1707 |
+
{
|
1708 |
+
"epoch": 0.3275,
|
1709 |
+
"grad_norm": 8.818106651306152,
|
1710 |
+
"learning_rate": 3.5394736842105266e-06,
|
1711 |
+
"loss": 0.5184,
|
1712 |
+
"step": 131
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"Batch Mean": -0.026287078857421875,
|
1716 |
+
"accuracy": 0.859375,
|
1717 |
+
"epoch": 0.3275,
|
1718 |
+
"step": 131
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 0.33,
|
1722 |
+
"grad_norm": 5.420790195465088,
|
1723 |
+
"learning_rate": 3.5263157894736846e-06,
|
1724 |
+
"loss": 0.329,
|
1725 |
+
"step": 132
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"Batch Mean": 0.05462455749511719,
|
1729 |
+
"accuracy": 0.796875,
|
1730 |
+
"epoch": 0.33,
|
1731 |
+
"step": 132
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.3325,
|
1735 |
+
"grad_norm": 6.507498264312744,
|
1736 |
+
"learning_rate": 3.513157894736842e-06,
|
1737 |
+
"loss": 0.4115,
|
1738 |
+
"step": 133
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"Batch Mean": -0.24898433685302734,
|
1742 |
+
"accuracy": 0.765625,
|
1743 |
+
"epoch": 0.3325,
|
1744 |
+
"step": 133
|
1745 |
+
},
|
1746 |
+
{
|
1747 |
+
"epoch": 0.335,
|
1748 |
+
"grad_norm": 7.103653430938721,
|
1749 |
+
"learning_rate": 3.5e-06,
|
1750 |
+
"loss": 0.47,
|
1751 |
+
"step": 134
|
1752 |
+
},
|
1753 |
+
{
|
1754 |
+
"Batch Mean": 0.0019243955612182617,
|
1755 |
+
"accuracy": 0.7890625,
|
1756 |
+
"epoch": 0.335,
|
1757 |
+
"step": 134
|
1758 |
+
},
|
1759 |
+
{
|
1760 |
+
"epoch": 0.3375,
|
1761 |
+
"grad_norm": 6.966567039489746,
|
1762 |
+
"learning_rate": 3.486842105263158e-06,
|
1763 |
+
"loss": 0.4961,
|
1764 |
+
"step": 135
|
1765 |
+
},
|
1766 |
+
{
|
1767 |
+
"Batch Mean": -0.3426704406738281,
|
1768 |
+
"accuracy": 0.8515625,
|
1769 |
+
"epoch": 0.3375,
|
1770 |
+
"step": 135
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 0.34,
|
1774 |
+
"grad_norm": 6.283776760101318,
|
1775 |
+
"learning_rate": 3.473684210526316e-06,
|
1776 |
+
"loss": 0.3601,
|
1777 |
+
"step": 136
|
1778 |
+
},
|
1779 |
+
{
|
1780 |
+
"Batch Mean": -0.20534992218017578,
|
1781 |
+
"accuracy": 0.8203125,
|
1782 |
+
"epoch": 0.34,
|
1783 |
+
"step": 136
|
1784 |
+
},
|
1785 |
+
{
|
1786 |
+
"epoch": 0.3425,
|
1787 |
+
"grad_norm": 6.146775245666504,
|
1788 |
+
"learning_rate": 3.460526315789474e-06,
|
1789 |
+
"loss": 0.3778,
|
1790 |
+
"step": 137
|
1791 |
+
},
|
1792 |
+
{
|
1793 |
+
"Batch Mean": 0.08529424667358398,
|
1794 |
+
"accuracy": 0.8359375,
|
1795 |
+
"epoch": 0.3425,
|
1796 |
+
"step": 137
|
1797 |
+
},
|
1798 |
+
{
|
1799 |
+
"epoch": 0.345,
|
1800 |
+
"grad_norm": 6.416910171508789,
|
1801 |
+
"learning_rate": 3.447368421052632e-06,
|
1802 |
+
"loss": 0.4167,
|
1803 |
+
"step": 138
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"Batch Mean": -0.047773122787475586,
|
1807 |
+
"accuracy": 0.8828125,
|
1808 |
+
"epoch": 0.345,
|
1809 |
+
"step": 138
|
1810 |
+
},
|
1811 |
+
{
|
1812 |
+
"epoch": 0.3475,
|
1813 |
+
"grad_norm": 5.484972953796387,
|
1814 |
+
"learning_rate": 3.43421052631579e-06,
|
1815 |
+
"loss": 0.3506,
|
1816 |
+
"step": 139
|
1817 |
+
},
|
1818 |
+
{
|
1819 |
+
"Batch Mean": 0.5931057929992676,
|
1820 |
+
"accuracy": 0.828125,
|
1821 |
+
"epoch": 0.3475,
|
1822 |
+
"step": 139
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.35,
|
1826 |
+
"grad_norm": 7.790515899658203,
|
1827 |
+
"learning_rate": 3.421052631578948e-06,
|
1828 |
+
"loss": 0.3479,
|
1829 |
+
"step": 140
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"Batch Mean": 0.15590977668762207,
|
1833 |
+
"accuracy": 0.84375,
|
1834 |
+
"epoch": 0.35,
|
1835 |
+
"step": 140
|
1836 |
+
},
|
1837 |
+
{
|
1838 |
+
"epoch": 0.3525,
|
1839 |
+
"grad_norm": 6.013650417327881,
|
1840 |
+
"learning_rate": 3.4078947368421057e-06,
|
1841 |
+
"loss": 0.3612,
|
1842 |
+
"step": 141
|
1843 |
+
},
|
1844 |
+
{
|
1845 |
+
"Batch Mean": 0.46294069290161133,
|
1846 |
+
"accuracy": 0.78125,
|
1847 |
+
"epoch": 0.3525,
|
1848 |
+
"step": 141
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 0.355,
|
1852 |
+
"grad_norm": 8.1344633102417,
|
1853 |
+
"learning_rate": 3.3947368421052636e-06,
|
1854 |
+
"loss": 0.4946,
|
1855 |
+
"step": 142
|
1856 |
+
},
|
1857 |
+
{
|
1858 |
+
"Batch Mean": -0.12668347358703613,
|
1859 |
+
"accuracy": 0.796875,
|
1860 |
+
"epoch": 0.355,
|
1861 |
+
"step": 142
|
1862 |
+
},
|
1863 |
+
{
|
1864 |
+
"epoch": 0.3575,
|
1865 |
+
"grad_norm": 5.713737487792969,
|
1866 |
+
"learning_rate": 3.381578947368421e-06,
|
1867 |
+
"loss": 0.3976,
|
1868 |
+
"step": 143
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"Batch Mean": -0.4500846862792969,
|
1872 |
+
"accuracy": 0.8203125,
|
1873 |
+
"epoch": 0.3575,
|
1874 |
+
"step": 143
|
1875 |
+
},
|
1876 |
+
{
|
1877 |
+
"epoch": 0.36,
|
1878 |
+
"grad_norm": 7.036086559295654,
|
1879 |
+
"learning_rate": 3.368421052631579e-06,
|
1880 |
+
"loss": 0.3463,
|
1881 |
+
"step": 144
|
1882 |
+
},
|
1883 |
+
{
|
1884 |
+
"Batch Mean": -0.37799644470214844,
|
1885 |
+
"accuracy": 0.7890625,
|
1886 |
+
"epoch": 0.36,
|
1887 |
+
"step": 144
|
1888 |
+
},
|
1889 |
+
{
|
1890 |
+
"epoch": 0.3625,
|
1891 |
+
"grad_norm": 6.1970062255859375,
|
1892 |
+
"learning_rate": 3.355263157894737e-06,
|
1893 |
+
"loss": 0.3877,
|
1894 |
+
"step": 145
|
1895 |
+
},
|
1896 |
+
{
|
1897 |
+
"Batch Mean": -0.10559439659118652,
|
1898 |
+
"accuracy": 0.7578125,
|
1899 |
+
"epoch": 0.3625,
|
1900 |
+
"step": 145
|
1901 |
+
},
|
1902 |
+
{
|
1903 |
+
"epoch": 0.365,
|
1904 |
+
"grad_norm": 5.835550308227539,
|
1905 |
+
"learning_rate": 3.342105263157895e-06,
|
1906 |
+
"loss": 0.3851,
|
1907 |
+
"step": 146
|
1908 |
+
},
|
1909 |
+
{
|
1910 |
+
"Batch Mean": 0.44306373596191406,
|
1911 |
+
"accuracy": 0.75,
|
1912 |
+
"epoch": 0.365,
|
1913 |
+
"step": 146
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 0.3675,
|
1917 |
+
"grad_norm": 7.37814474105835,
|
1918 |
+
"learning_rate": 3.3289473684210528e-06,
|
1919 |
+
"loss": 0.4315,
|
1920 |
+
"step": 147
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"Batch Mean": -0.04085433483123779,
|
1924 |
+
"accuracy": 0.796875,
|
1925 |
+
"epoch": 0.3675,
|
1926 |
+
"step": 147
|
1927 |
+
},
|
1928 |
+
{
|
1929 |
+
"epoch": 0.37,
|
1930 |
+
"grad_norm": 6.159938812255859,
|
1931 |
+
"learning_rate": 3.3157894736842107e-06,
|
1932 |
+
"loss": 0.4498,
|
1933 |
+
"step": 148
|
1934 |
+
},
|
1935 |
+
{
|
1936 |
+
"Batch Mean": 0.40547609329223633,
|
1937 |
+
"accuracy": 0.828125,
|
1938 |
+
"epoch": 0.37,
|
1939 |
+
"step": 148
|
1940 |
+
},
|
1941 |
+
{
|
1942 |
+
"epoch": 0.3725,
|
1943 |
+
"grad_norm": 6.4657301902771,
|
1944 |
+
"learning_rate": 3.302631578947369e-06,
|
1945 |
+
"loss": 0.4086,
|
1946 |
+
"step": 149
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"Batch Mean": 0.18158531188964844,
|
1950 |
+
"accuracy": 0.890625,
|
1951 |
+
"epoch": 0.3725,
|
1952 |
+
"step": 149
|
1953 |
+
},
|
1954 |
+
{
|
1955 |
+
"epoch": 0.375,
|
1956 |
+
"grad_norm": 5.317295074462891,
|
1957 |
+
"learning_rate": 3.289473684210527e-06,
|
1958 |
+
"loss": 0.3154,
|
1959 |
+
"step": 150
|
1960 |
+
},
|
1961 |
+
{
|
1962 |
+
"Batch Mean": 0.09602212905883789,
|
1963 |
+
"accuracy": 0.8515625,
|
1964 |
+
"epoch": 0.375,
|
1965 |
+
"step": 150
|
1966 |
+
},
|
1967 |
+
{
|
1968 |
+
"epoch": 0.3775,
|
1969 |
+
"grad_norm": 5.428357124328613,
|
1970 |
+
"learning_rate": 3.276315789473685e-06,
|
1971 |
+
"loss": 0.3893,
|
1972 |
+
"step": 151
|
1973 |
+
},
|
1974 |
+
{
|
1975 |
+
"Batch Mean": -0.3176734447479248,
|
1976 |
+
"accuracy": 0.765625,
|
1977 |
+
"epoch": 0.3775,
|
1978 |
+
"step": 151
|
1979 |
+
},
|
1980 |
+
{
|
1981 |
+
"epoch": 0.38,
|
1982 |
+
"grad_norm": 6.5872087478637695,
|
1983 |
+
"learning_rate": 3.2631578947368423e-06,
|
1984 |
+
"loss": 0.4477,
|
1985 |
+
"step": 152
|
1986 |
+
},
|
1987 |
+
{
|
1988 |
+
"Batch Mean": -0.34884822368621826,
|
1989 |
+
"accuracy": 0.8515625,
|
1990 |
+
"epoch": 0.38,
|
1991 |
+
"step": 152
|
1992 |
+
},
|
1993 |
+
{
|
1994 |
+
"epoch": 0.3825,
|
1995 |
+
"grad_norm": 6.333802223205566,
|
1996 |
+
"learning_rate": 3.2500000000000002e-06,
|
1997 |
+
"loss": 0.3661,
|
1998 |
+
"step": 153
|
1999 |
+
},
|
2000 |
+
{
|
2001 |
+
"Batch Mean": -0.11426492035388947,
|
2002 |
+
"accuracy": 0.8203125,
|
2003 |
+
"epoch": 0.3825,
|
2004 |
+
"step": 153
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.385,
|
2008 |
+
"grad_norm": 6.027217388153076,
|
2009 |
+
"learning_rate": 3.236842105263158e-06,
|
2010 |
+
"loss": 0.3967,
|
2011 |
+
"step": 154
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"Batch Mean": 0.2238612174987793,
|
2015 |
+
"accuracy": 0.828125,
|
2016 |
+
"epoch": 0.385,
|
2017 |
+
"step": 154
|
2018 |
+
},
|
2019 |
+
{
|
2020 |
+
"epoch": 0.3875,
|
2021 |
+
"grad_norm": 5.728042125701904,
|
2022 |
+
"learning_rate": 3.223684210526316e-06,
|
2023 |
+
"loss": 0.3469,
|
2024 |
+
"step": 155
|
2025 |
+
},
|
2026 |
+
{
|
2027 |
+
"Batch Mean": 0.2194676399230957,
|
2028 |
+
"accuracy": 0.8359375,
|
2029 |
+
"epoch": 0.3875,
|
2030 |
+
"step": 155
|
2031 |
+
},
|
2032 |
+
{
|
2033 |
+
"epoch": 0.39,
|
2034 |
+
"grad_norm": 6.083252906799316,
|
2035 |
+
"learning_rate": 3.210526315789474e-06,
|
2036 |
+
"loss": 0.3512,
|
2037 |
+
"step": 156
|
2038 |
+
},
|
2039 |
+
{
|
2040 |
+
"Batch Mean": 0.4024663269519806,
|
2041 |
+
"accuracy": 0.84375,
|
2042 |
+
"epoch": 0.39,
|
2043 |
+
"step": 156
|
2044 |
+
},
|
2045 |
+
{
|
2046 |
+
"epoch": 0.3925,
|
2047 |
+
"grad_norm": 6.562926292419434,
|
2048 |
+
"learning_rate": 3.197368421052632e-06,
|
2049 |
+
"loss": 0.3141,
|
2050 |
+
"step": 157
|
2051 |
+
},
|
2052 |
+
{
|
2053 |
+
"Batch Mean": -0.39385366439819336,
|
2054 |
+
"accuracy": 0.859375,
|
2055 |
+
"epoch": 0.3925,
|
2056 |
+
"step": 157
|
2057 |
+
},
|
2058 |
+
{
|
2059 |
+
"epoch": 0.395,
|
2060 |
+
"grad_norm": 7.200568199157715,
|
2061 |
+
"learning_rate": 3.1842105263157898e-06,
|
2062 |
+
"loss": 0.3309,
|
2063 |
+
"step": 158
|
2064 |
+
},
|
2065 |
+
{
|
2066 |
+
"Batch Mean": -0.46120989322662354,
|
2067 |
+
"accuracy": 0.796875,
|
2068 |
+
"epoch": 0.395,
|
2069 |
+
"step": 158
|
2070 |
+
},
|
2071 |
+
{
|
2072 |
+
"epoch": 0.3975,
|
2073 |
+
"grad_norm": 8.028575897216797,
|
2074 |
+
"learning_rate": 3.1710526315789477e-06,
|
2075 |
+
"loss": 0.4198,
|
2076 |
+
"step": 159
|
2077 |
+
},
|
2078 |
+
{
|
2079 |
+
"Batch Mean": -0.01939535140991211,
|
2080 |
+
"accuracy": 0.828125,
|
2081 |
+
"epoch": 0.3975,
|
2082 |
+
"step": 159
|
2083 |
+
},
|
2084 |
+
{
|
2085 |
+
"epoch": 0.4,
|
2086 |
+
"grad_norm": 6.117007732391357,
|
2087 |
+
"learning_rate": 3.157894736842105e-06,
|
2088 |
+
"loss": 0.3203,
|
2089 |
+
"step": 160
|
2090 |
+
},
|
2091 |
+
{
|
2092 |
+
"Batch Mean": 0.30785632133483887,
|
2093 |
+
"accuracy": 0.8046875,
|
2094 |
+
"epoch": 0.4,
|
2095 |
+
"step": 160
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 0.4025,
|
2099 |
+
"grad_norm": 6.923008918762207,
|
2100 |
+
"learning_rate": 3.144736842105263e-06,
|
2101 |
+
"loss": 0.3664,
|
2102 |
+
"step": 161
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"Batch Mean": 0.7033977508544922,
|
2106 |
+
"accuracy": 0.828125,
|
2107 |
+
"epoch": 0.4025,
|
2108 |
+
"step": 161
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 0.405,
|
2112 |
+
"grad_norm": 9.752437591552734,
|
2113 |
+
"learning_rate": 3.131578947368421e-06,
|
2114 |
+
"loss": 0.3907,
|
2115 |
+
"step": 162
|
2116 |
+
},
|
2117 |
+
{
|
2118 |
+
"Batch Mean": -0.347902774810791,
|
2119 |
+
"accuracy": 0.828125,
|
2120 |
+
"epoch": 0.405,
|
2121 |
+
"step": 162
|
2122 |
+
},
|
2123 |
+
{
|
2124 |
+
"epoch": 0.4075,
|
2125 |
+
"grad_norm": 7.6583991050720215,
|
2126 |
+
"learning_rate": 3.1184210526315793e-06,
|
2127 |
+
"loss": 0.374,
|
2128 |
+
"step": 163
|
2129 |
+
},
|
2130 |
+
{
|
2131 |
+
"Batch Mean": -0.569427490234375,
|
2132 |
+
"accuracy": 0.84375,
|
2133 |
+
"epoch": 0.4075,
|
2134 |
+
"step": 163
|
2135 |
+
},
|
2136 |
+
{
|
2137 |
+
"epoch": 0.41,
|
2138 |
+
"grad_norm": 8.497271537780762,
|
2139 |
+
"learning_rate": 3.1052631578947372e-06,
|
2140 |
+
"loss": 0.3917,
|
2141 |
+
"step": 164
|
2142 |
+
},
|
2143 |
+
{
|
2144 |
+
"Batch Mean": -0.094696044921875,
|
2145 |
+
"accuracy": 0.796875,
|
2146 |
+
"epoch": 0.41,
|
2147 |
+
"step": 164
|
2148 |
+
},
|
2149 |
+
{
|
2150 |
+
"epoch": 0.4125,
|
2151 |
+
"grad_norm": 8.36490249633789,
|
2152 |
+
"learning_rate": 3.092105263157895e-06,
|
2153 |
+
"loss": 0.4532,
|
2154 |
+
"step": 165
|
2155 |
+
},
|
2156 |
+
{
|
2157 |
+
"Batch Mean": -0.3759317398071289,
|
2158 |
+
"accuracy": 0.859375,
|
2159 |
+
"epoch": 0.4125,
|
2160 |
+
"step": 165
|
2161 |
+
},
|
2162 |
+
{
|
2163 |
+
"epoch": 0.415,
|
2164 |
+
"grad_norm": 7.4028425216674805,
|
2165 |
+
"learning_rate": 3.078947368421053e-06,
|
2166 |
+
"loss": 0.3049,
|
2167 |
+
"step": 166
|
2168 |
+
},
|
2169 |
+
{
|
2170 |
+
"Batch Mean": 0.3960217833518982,
|
2171 |
+
"accuracy": 0.828125,
|
2172 |
+
"epoch": 0.415,
|
2173 |
+
"step": 166
|
2174 |
+
},
|
2175 |
+
{
|
2176 |
+
"epoch": 0.4175,
|
2177 |
+
"grad_norm": 7.194099426269531,
|
2178 |
+
"learning_rate": 3.065789473684211e-06,
|
2179 |
+
"loss": 0.3577,
|
2180 |
+
"step": 167
|
2181 |
+
},
|
2182 |
+
{
|
2183 |
+
"Batch Mean": 0.5912597179412842,
|
2184 |
+
"accuracy": 0.875,
|
2185 |
+
"epoch": 0.4175,
|
2186 |
+
"step": 167
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 0.42,
|
2190 |
+
"grad_norm": 7.954378128051758,
|
2191 |
+
"learning_rate": 3.052631578947369e-06,
|
2192 |
+
"loss": 0.3329,
|
2193 |
+
"step": 168
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"Batch Mean": -0.014994144439697266,
|
2197 |
+
"accuracy": 0.796875,
|
2198 |
+
"epoch": 0.42,
|
2199 |
+
"step": 168
|
2200 |
+
},
|
2201 |
+
{
|
2202 |
+
"epoch": 0.4225,
|
2203 |
+
"grad_norm": 7.277341365814209,
|
2204 |
+
"learning_rate": 3.0394736842105268e-06,
|
2205 |
+
"loss": 0.423,
|
2206 |
+
"step": 169
|
2207 |
+
},
|
2208 |
+
{
|
2209 |
+
"Batch Mean": 0.0011951625347137451,
|
2210 |
+
"accuracy": 0.8671875,
|
2211 |
+
"epoch": 0.4225,
|
2212 |
+
"step": 169
|
2213 |
+
},
|
2214 |
+
{
|
2215 |
+
"epoch": 0.425,
|
2216 |
+
"grad_norm": 6.068748950958252,
|
2217 |
+
"learning_rate": 3.0263157894736843e-06,
|
2218 |
+
"loss": 0.3711,
|
2219 |
+
"step": 170
|
2220 |
+
},
|
2221 |
+
{
|
2222 |
+
"Batch Mean": -0.23294401168823242,
|
2223 |
+
"accuracy": 0.9375,
|
2224 |
+
"epoch": 0.425,
|
2225 |
+
"step": 170
|
2226 |
+
},
|
2227 |
+
{
|
2228 |
+
"epoch": 0.4275,
|
2229 |
+
"grad_norm": 5.278029441833496,
|
2230 |
+
"learning_rate": 3.013157894736842e-06,
|
2231 |
+
"loss": 0.237,
|
2232 |
+
"step": 171
|
2233 |
+
},
|
2234 |
+
{
|
2235 |
+
"Batch Mean": -0.40133750438690186,
|
2236 |
+
"accuracy": 0.7890625,
|
2237 |
+
"epoch": 0.4275,
|
2238 |
+
"step": 171
|
2239 |
+
},
|
2240 |
+
{
|
2241 |
+
"epoch": 0.43,
|
2242 |
+
"grad_norm": 7.065173149108887,
|
2243 |
+
"learning_rate": 3e-06,
|
2244 |
+
"loss": 0.4043,
|
2245 |
+
"step": 172
|
2246 |
+
},
|
2247 |
+
{
|
2248 |
+
"Batch Mean": 0.1028299331665039,
|
2249 |
+
"accuracy": 0.84375,
|
2250 |
+
"epoch": 0.43,
|
2251 |
+
"step": 172
|
2252 |
+
},
|
2253 |
+
{
|
2254 |
+
"epoch": 0.4325,
|
2255 |
+
"grad_norm": 8.89666748046875,
|
2256 |
+
"learning_rate": 2.986842105263158e-06,
|
2257 |
+
"loss": 0.3427,
|
2258 |
+
"step": 173
|
2259 |
+
},
|
2260 |
+
{
|
2261 |
+
"Batch Mean": 0.08979487419128418,
|
2262 |
+
"accuracy": 0.828125,
|
2263 |
+
"epoch": 0.4325,
|
2264 |
+
"step": 173
|
2265 |
+
},
|
2266 |
+
{
|
2267 |
+
"epoch": 0.435,
|
2268 |
+
"grad_norm": 5.712543487548828,
|
2269 |
+
"learning_rate": 2.973684210526316e-06,
|
2270 |
+
"loss": 0.3642,
|
2271 |
+
"step": 174
|
2272 |
+
},
|
2273 |
+
{
|
2274 |
+
"Batch Mean": 0.6362553834915161,
|
2275 |
+
"accuracy": 0.84375,
|
2276 |
+
"epoch": 0.435,
|
2277 |
+
"step": 174
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 0.4375,
|
2281 |
+
"grad_norm": 8.968149185180664,
|
2282 |
+
"learning_rate": 2.960526315789474e-06,
|
2283 |
+
"loss": 0.3986,
|
2284 |
+
"step": 175
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"Batch Mean": 0.03002166748046875,
|
2288 |
+
"accuracy": 0.8125,
|
2289 |
+
"epoch": 0.4375,
|
2290 |
+
"step": 175
|
2291 |
+
},
|
2292 |
+
{
|
2293 |
+
"epoch": 0.44,
|
2294 |
+
"grad_norm": 5.981250286102295,
|
2295 |
+
"learning_rate": 2.9473684210526317e-06,
|
2296 |
+
"loss": 0.371,
|
2297 |
+
"step": 176
|
2298 |
+
},
|
2299 |
+
{
|
2300 |
+
"Batch Mean": 0.15925252437591553,
|
2301 |
+
"accuracy": 0.7578125,
|
2302 |
+
"epoch": 0.44,
|
2303 |
+
"step": 176
|
2304 |
+
},
|
2305 |
+
{
|
2306 |
+
"epoch": 0.4425,
|
2307 |
+
"grad_norm": 7.630130290985107,
|
2308 |
+
"learning_rate": 2.93421052631579e-06,
|
2309 |
+
"loss": 0.4573,
|
2310 |
+
"step": 177
|
2311 |
+
},
|
2312 |
+
{
|
2313 |
+
"Batch Mean": -0.5218077898025513,
|
2314 |
+
"accuracy": 0.875,
|
2315 |
+
"epoch": 0.4425,
|
2316 |
+
"step": 177
|
2317 |
+
},
|
2318 |
+
{
|
2319 |
+
"epoch": 0.445,
|
2320 |
+
"grad_norm": 8.40796184539795,
|
2321 |
+
"learning_rate": 2.921052631578948e-06,
|
2322 |
+
"loss": 0.318,
|
2323 |
+
"step": 178
|
2324 |
+
},
|
2325 |
+
{
|
2326 |
+
"Batch Mean": -0.21337127685546875,
|
2327 |
+
"accuracy": 0.8671875,
|
2328 |
+
"epoch": 0.445,
|
2329 |
+
"step": 178
|
2330 |
+
},
|
2331 |
+
{
|
2332 |
+
"epoch": 0.4475,
|
2333 |
+
"grad_norm": 6.911371231079102,
|
2334 |
+
"learning_rate": 2.907894736842106e-06,
|
2335 |
+
"loss": 0.3225,
|
2336 |
+
"step": 179
|
2337 |
+
},
|
2338 |
+
{
|
2339 |
+
"Batch Mean": -0.4858684539794922,
|
2340 |
+
"accuracy": 0.796875,
|
2341 |
+
"epoch": 0.4475,
|
2342 |
+
"step": 179
|
2343 |
+
},
|
2344 |
+
{
|
2345 |
+
"epoch": 0.45,
|
2346 |
+
"grad_norm": 7.585726737976074,
|
2347 |
+
"learning_rate": 2.8947368421052634e-06,
|
2348 |
+
"loss": 0.4169,
|
2349 |
+
"step": 180
|
2350 |
+
},
|
2351 |
+
{
|
2352 |
+
"Batch Mean": 0.6967126131057739,
|
2353 |
+
"accuracy": 0.8359375,
|
2354 |
+
"epoch": 0.45,
|
2355 |
+
"step": 180
|
2356 |
+
},
|
2357 |
+
{
|
2358 |
+
"epoch": 0.4525,
|
2359 |
+
"grad_norm": 9.311128616333008,
|
2360 |
+
"learning_rate": 2.8815789473684213e-06,
|
2361 |
+
"loss": 0.3541,
|
2362 |
+
"step": 181
|
2363 |
+
},
|
2364 |
+
{
|
2365 |
+
"Batch Mean": 0.40191876888275146,
|
2366 |
+
"accuracy": 0.875,
|
2367 |
+
"epoch": 0.4525,
|
2368 |
+
"step": 181
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 0.455,
|
2372 |
+
"grad_norm": 6.452785015106201,
|
2373 |
+
"learning_rate": 2.868421052631579e-06,
|
2374 |
+
"loss": 0.2999,
|
2375 |
+
"step": 182
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"Batch Mean": 0.35803985595703125,
|
2379 |
+
"accuracy": 0.765625,
|
2380 |
+
"epoch": 0.455,
|
2381 |
+
"step": 182
|
2382 |
+
},
|
2383 |
+
{
|
2384 |
+
"epoch": 0.4575,
|
2385 |
+
"grad_norm": 7.8335418701171875,
|
2386 |
+
"learning_rate": 2.855263157894737e-06,
|
2387 |
+
"loss": 0.4661,
|
2388 |
+
"step": 183
|
2389 |
+
},
|
2390 |
+
{
|
2391 |
+
"Batch Mean": -0.17188113927841187,
|
2392 |
+
"accuracy": 0.8203125,
|
2393 |
+
"epoch": 0.4575,
|
2394 |
+
"step": 183
|
2395 |
+
},
|
2396 |
+
{
|
2397 |
+
"epoch": 0.46,
|
2398 |
+
"grad_norm": 6.696692943572998,
|
2399 |
+
"learning_rate": 2.842105263157895e-06,
|
2400 |
+
"loss": 0.4276,
|
2401 |
+
"step": 184
|
2402 |
+
},
|
2403 |
+
{
|
2404 |
+
"Batch Mean": -0.7287430763244629,
|
2405 |
+
"accuracy": 0.8125,
|
2406 |
+
"epoch": 0.46,
|
2407 |
+
"step": 184
|
2408 |
+
},
|
2409 |
+
{
|
2410 |
+
"epoch": 0.4625,
|
2411 |
+
"grad_norm": 9.841276168823242,
|
2412 |
+
"learning_rate": 2.828947368421053e-06,
|
2413 |
+
"loss": 0.4608,
|
2414 |
+
"step": 185
|
2415 |
+
},
|
2416 |
+
{
|
2417 |
+
"Batch Mean": -0.4493199586868286,
|
2418 |
+
"accuracy": 0.765625,
|
2419 |
+
"epoch": 0.4625,
|
2420 |
+
"step": 185
|
2421 |
+
},
|
2422 |
+
{
|
2423 |
+
"epoch": 0.465,
|
2424 |
+
"grad_norm": 6.939754486083984,
|
2425 |
+
"learning_rate": 2.815789473684211e-06,
|
2426 |
+
"loss": 0.385,
|
2427 |
+
"step": 186
|
2428 |
+
},
|
2429 |
+
{
|
2430 |
+
"Batch Mean": -0.001141861081123352,
|
2431 |
+
"accuracy": 0.796875,
|
2432 |
+
"epoch": 0.465,
|
2433 |
+
"step": 186
|
2434 |
+
},
|
2435 |
+
{
|
2436 |
+
"epoch": 0.4675,
|
2437 |
+
"grad_norm": 5.819330215454102,
|
2438 |
+
"learning_rate": 2.8026315789473683e-06,
|
2439 |
+
"loss": 0.3872,
|
2440 |
+
"step": 187
|
2441 |
+
},
|
2442 |
+
{
|
2443 |
+
"Batch Mean": 0.11795490980148315,
|
2444 |
+
"accuracy": 0.8984375,
|
2445 |
+
"epoch": 0.4675,
|
2446 |
+
"step": 187
|
2447 |
+
},
|
2448 |
+
{
|
2449 |
+
"epoch": 0.47,
|
2450 |
+
"grad_norm": 5.095602512359619,
|
2451 |
+
"learning_rate": 2.789473684210526e-06,
|
2452 |
+
"loss": 0.2691,
|
2453 |
+
"step": 188
|
2454 |
+
},
|
2455 |
+
{
|
2456 |
+
"Batch Mean": 0.0792817771434784,
|
2457 |
+
"accuracy": 0.7734375,
|
2458 |
+
"epoch": 0.47,
|
2459 |
+
"step": 188
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 0.4725,
|
2463 |
+
"grad_norm": 6.671010971069336,
|
2464 |
+
"learning_rate": 2.776315789473684e-06,
|
2465 |
+
"loss": 0.4304,
|
2466 |
+
"step": 189
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"Batch Mean": 0.11675047874450684,
|
2470 |
+
"accuracy": 0.8828125,
|
2471 |
+
"epoch": 0.4725,
|
2472 |
+
"step": 189
|
2473 |
+
},
|
2474 |
+
{
|
2475 |
+
"epoch": 0.475,
|
2476 |
+
"grad_norm": 5.194698810577393,
|
2477 |
+
"learning_rate": 2.7631578947368424e-06,
|
2478 |
+
"loss": 0.3043,
|
2479 |
+
"step": 190
|
2480 |
+
},
|
2481 |
+
{
|
2482 |
+
"Batch Mean": 0.507703423500061,
|
2483 |
+
"accuracy": 0.8359375,
|
2484 |
+
"epoch": 0.475,
|
2485 |
+
"step": 190
|
2486 |
+
},
|
2487 |
+
{
|
2488 |
+
"epoch": 0.4775,
|
2489 |
+
"grad_norm": 8.995157241821289,
|
2490 |
+
"learning_rate": 2.7500000000000004e-06,
|
2491 |
+
"loss": 0.4023,
|
2492 |
+
"step": 191
|
2493 |
+
},
|
2494 |
+
{
|
2495 |
+
"Batch Mean": 0.007342934608459473,
|
2496 |
+
"accuracy": 0.8828125,
|
2497 |
+
"epoch": 0.4775,
|
2498 |
+
"step": 191
|
2499 |
+
},
|
2500 |
+
{
|
2501 |
+
"epoch": 0.48,
|
2502 |
+
"grad_norm": 4.653019428253174,
|
2503 |
+
"learning_rate": 2.7368421052631583e-06,
|
2504 |
+
"loss": 0.2997,
|
2505 |
+
"step": 192
|
2506 |
+
},
|
2507 |
+
{
|
2508 |
+
"Batch Mean": -0.11206340789794922,
|
2509 |
+
"accuracy": 0.84375,
|
2510 |
+
"epoch": 0.48,
|
2511 |
+
"step": 192
|
2512 |
+
},
|
2513 |
+
{
|
2514 |
+
"epoch": 0.4825,
|
2515 |
+
"grad_norm": 5.593299388885498,
|
2516 |
+
"learning_rate": 2.723684210526316e-06,
|
2517 |
+
"loss": 0.3592,
|
2518 |
+
"step": 193
|
2519 |
+
},
|
2520 |
+
{
|
2521 |
+
"Batch Mean": 0.34449005126953125,
|
2522 |
+
"accuracy": 0.8203125,
|
2523 |
+
"epoch": 0.4825,
|
2524 |
+
"step": 193
|
2525 |
+
},
|
2526 |
+
{
|
2527 |
+
"epoch": 0.485,
|
2528 |
+
"grad_norm": 7.729828834533691,
|
2529 |
+
"learning_rate": 2.710526315789474e-06,
|
2530 |
+
"loss": 0.4174,
|
2531 |
+
"step": 194
|
2532 |
+
},
|
2533 |
+
{
|
2534 |
+
"Batch Mean": 0.3511536121368408,
|
2535 |
+
"accuracy": 0.796875,
|
2536 |
+
"epoch": 0.485,
|
2537 |
+
"step": 194
|
2538 |
+
},
|
2539 |
+
{
|
2540 |
+
"epoch": 0.4875,
|
2541 |
+
"grad_norm": 6.8778791427612305,
|
2542 |
+
"learning_rate": 2.697368421052632e-06,
|
2543 |
+
"loss": 0.3958,
|
2544 |
+
"step": 195
|
2545 |
+
},
|
2546 |
+
{
|
2547 |
+
"Batch Mean": -0.4304494857788086,
|
2548 |
+
"accuracy": 0.828125,
|
2549 |
+
"epoch": 0.4875,
|
2550 |
+
"step": 195
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 0.49,
|
2554 |
+
"grad_norm": 7.1837897300720215,
|
2555 |
+
"learning_rate": 2.68421052631579e-06,
|
2556 |
+
"loss": 0.3644,
|
2557 |
+
"step": 196
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"Batch Mean": -0.5402705669403076,
|
2561 |
+
"accuracy": 0.8828125,
|
2562 |
+
"epoch": 0.49,
|
2563 |
+
"step": 196
|
2564 |
+
},
|
2565 |
+
{
|
2566 |
+
"epoch": 0.4925,
|
2567 |
+
"grad_norm": 7.711959362030029,
|
2568 |
+
"learning_rate": 2.6710526315789474e-06,
|
2569 |
+
"loss": 0.3134,
|
2570 |
+
"step": 197
|
2571 |
+
},
|
2572 |
+
{
|
2573 |
+
"Batch Mean": -0.4601917266845703,
|
2574 |
+
"accuracy": 0.8203125,
|
2575 |
+
"epoch": 0.4925,
|
2576 |
+
"step": 197
|
2577 |
+
},
|
2578 |
+
{
|
2579 |
+
"epoch": 0.495,
|
2580 |
+
"grad_norm": 7.087433815002441,
|
2581 |
+
"learning_rate": 2.6578947368421053e-06,
|
2582 |
+
"loss": 0.3694,
|
2583 |
+
"step": 198
|
2584 |
+
},
|
2585 |
+
{
|
2586 |
+
"Batch Mean": 0.003908276557922363,
|
2587 |
+
"accuracy": 0.859375,
|
2588 |
+
"epoch": 0.495,
|
2589 |
+
"step": 198
|
2590 |
+
},
|
2591 |
+
{
|
2592 |
+
"epoch": 0.4975,
|
2593 |
+
"grad_norm": 5.323395252227783,
|
2594 |
+
"learning_rate": 2.644736842105263e-06,
|
2595 |
+
"loss": 0.3269,
|
2596 |
+
"step": 199
|
2597 |
+
},
|
2598 |
+
{
|
2599 |
+
"Batch Mean": 0.3632014989852905,
|
2600 |
+
"accuracy": 0.8828125,
|
2601 |
+
"epoch": 0.4975,
|
2602 |
+
"step": 199
|
2603 |
+
},
|
2604 |
+
{
|
2605 |
+
"epoch": 0.5,
|
2606 |
+
"grad_norm": 6.865387439727783,
|
2607 |
+
"learning_rate": 2.631578947368421e-06,
|
2608 |
+
"loss": 0.3261,
|
2609 |
+
"step": 200
|
2610 |
+
},
|
2611 |
+
{
|
2612 |
+
"Batch Mean": 0.3652181625366211,
|
2613 |
+
"accuracy": 0.796875,
|
2614 |
+
"epoch": 0.5,
|
2615 |
+
"step": 200
|
2616 |
+
},
|
2617 |
+
{
|
2618 |
+
"epoch": 0.5025,
|
2619 |
+
"grad_norm": 7.002910614013672,
|
2620 |
+
"learning_rate": 2.618421052631579e-06,
|
2621 |
+
"loss": 0.4199,
|
2622 |
+
"step": 201
|
2623 |
+
},
|
2624 |
+
{
|
2625 |
+
"Batch Mean": -0.0046329498291015625,
|
2626 |
+
"accuracy": 0.8515625,
|
2627 |
+
"epoch": 0.5025,
|
2628 |
+
"step": 201
|
2629 |
+
},
|
2630 |
+
{
|
2631 |
+
"epoch": 0.505,
|
2632 |
+
"grad_norm": 6.56704044342041,
|
2633 |
+
"learning_rate": 2.605263157894737e-06,
|
2634 |
+
"loss": 0.323,
|
2635 |
+
"step": 202
|
2636 |
+
},
|
2637 |
+
{
|
2638 |
+
"Batch Mean": 0.0460200309753418,
|
2639 |
+
"accuracy": 0.8828125,
|
2640 |
+
"epoch": 0.505,
|
2641 |
+
"step": 202
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 0.5075,
|
2645 |
+
"grad_norm": 5.225709438323975,
|
2646 |
+
"learning_rate": 2.592105263157895e-06,
|
2647 |
+
"loss": 0.3021,
|
2648 |
+
"step": 203
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"Batch Mean": 0.11225366592407227,
|
2652 |
+
"accuracy": 0.8359375,
|
2653 |
+
"epoch": 0.5075,
|
2654 |
+
"step": 203
|
2655 |
+
},
|
2656 |
+
{
|
2657 |
+
"epoch": 0.51,
|
2658 |
+
"grad_norm": 6.092679023742676,
|
2659 |
+
"learning_rate": 2.578947368421053e-06,
|
2660 |
+
"loss": 0.3584,
|
2661 |
+
"step": 204
|
2662 |
+
},
|
2663 |
+
{
|
2664 |
+
"Batch Mean": -0.08475446701049805,
|
2665 |
+
"accuracy": 0.8125,
|
2666 |
+
"epoch": 0.51,
|
2667 |
+
"step": 204
|
2668 |
+
},
|
2669 |
+
{
|
2670 |
+
"epoch": 0.5125,
|
2671 |
+
"grad_norm": 6.27672004699707,
|
2672 |
+
"learning_rate": 2.565789473684211e-06,
|
2673 |
+
"loss": 0.3787,
|
2674 |
+
"step": 205
|
2675 |
+
},
|
2676 |
+
{
|
2677 |
+
"Batch Mean": 0.041245490312576294,
|
2678 |
+
"accuracy": 0.8125,
|
2679 |
+
"epoch": 0.5125,
|
2680 |
+
"step": 205
|
2681 |
+
},
|
2682 |
+
{
|
2683 |
+
"epoch": 0.515,
|
2684 |
+
"grad_norm": 6.466290473937988,
|
2685 |
+
"learning_rate": 2.552631578947369e-06,
|
2686 |
+
"loss": 0.422,
|
2687 |
+
"step": 206
|
2688 |
+
},
|
2689 |
+
{
|
2690 |
+
"Batch Mean": -0.4405149221420288,
|
2691 |
+
"accuracy": 0.8671875,
|
2692 |
+
"epoch": 0.515,
|
2693 |
+
"step": 206
|
2694 |
+
},
|
2695 |
+
{
|
2696 |
+
"epoch": 0.5175,
|
2697 |
+
"grad_norm": 6.9925456047058105,
|
2698 |
+
"learning_rate": 2.5394736842105265e-06,
|
2699 |
+
"loss": 0.3365,
|
2700 |
+
"step": 207
|
2701 |
+
},
|
2702 |
+
{
|
2703 |
+
"Batch Mean": -0.3760061264038086,
|
2704 |
+
"accuracy": 0.875,
|
2705 |
+
"epoch": 0.5175,
|
2706 |
+
"step": 207
|
2707 |
+
},
|
2708 |
+
{
|
2709 |
+
"epoch": 0.52,
|
2710 |
+
"grad_norm": 6.5773844718933105,
|
2711 |
+
"learning_rate": 2.5263157894736844e-06,
|
2712 |
+
"loss": 0.3214,
|
2713 |
+
"step": 208
|
2714 |
+
},
|
2715 |
+
{
|
2716 |
+
"Batch Mean": 0.4471302032470703,
|
2717 |
+
"accuracy": 0.8359375,
|
2718 |
+
"epoch": 0.52,
|
2719 |
+
"step": 208
|
2720 |
+
},
|
2721 |
+
{
|
2722 |
+
"epoch": 0.5225,
|
2723 |
+
"grad_norm": 7.389886379241943,
|
2724 |
+
"learning_rate": 2.5131578947368423e-06,
|
2725 |
+
"loss": 0.3702,
|
2726 |
+
"step": 209
|
2727 |
+
},
|
2728 |
+
{
|
2729 |
+
"Batch Mean": 0.08597373962402344,
|
2730 |
+
"accuracy": 0.828125,
|
2731 |
+
"epoch": 0.5225,
|
2732 |
+
"step": 209
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 0.525,
|
2736 |
+
"grad_norm": 6.150123119354248,
|
2737 |
+
"learning_rate": 2.5e-06,
|
2738 |
+
"loss": 0.4026,
|
2739 |
+
"step": 210
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"Batch Mean": 0.20080137252807617,
|
2743 |
+
"accuracy": 0.8359375,
|
2744 |
+
"epoch": 0.525,
|
2745 |
+
"step": 210
|
2746 |
+
},
|
2747 |
+
{
|
2748 |
+
"epoch": 0.5275,
|
2749 |
+
"grad_norm": 6.605398654937744,
|
2750 |
+
"learning_rate": 2.486842105263158e-06,
|
2751 |
+
"loss": 0.4046,
|
2752 |
+
"step": 211
|
2753 |
+
},
|
2754 |
+
{
|
2755 |
+
"Batch Mean": 0.03975629806518555,
|
2756 |
+
"accuracy": 0.8125,
|
2757 |
+
"epoch": 0.5275,
|
2758 |
+
"step": 211
|
2759 |
+
},
|
2760 |
+
{
|
2761 |
+
"epoch": 0.53,
|
2762 |
+
"grad_norm": 6.139669418334961,
|
2763 |
+
"learning_rate": 2.473684210526316e-06,
|
2764 |
+
"loss": 0.3858,
|
2765 |
+
"step": 212
|
2766 |
+
},
|
2767 |
+
{
|
2768 |
+
"Batch Mean": 0.08810865879058838,
|
2769 |
+
"accuracy": 0.7578125,
|
2770 |
+
"epoch": 0.53,
|
2771 |
+
"step": 212
|
2772 |
+
},
|
2773 |
+
{
|
2774 |
+
"epoch": 0.5325,
|
2775 |
+
"grad_norm": 7.48892068862915,
|
2776 |
+
"learning_rate": 2.460526315789474e-06,
|
2777 |
+
"loss": 0.5241,
|
2778 |
+
"step": 213
|
2779 |
+
},
|
2780 |
+
{
|
2781 |
+
"Batch Mean": 0.02453136444091797,
|
2782 |
+
"accuracy": 0.8203125,
|
2783 |
+
"epoch": 0.5325,
|
2784 |
+
"step": 213
|
2785 |
+
},
|
2786 |
+
{
|
2787 |
+
"epoch": 0.535,
|
2788 |
+
"grad_norm": 5.409359455108643,
|
2789 |
+
"learning_rate": 2.447368421052632e-06,
|
2790 |
+
"loss": 0.3785,
|
2791 |
+
"step": 214
|
2792 |
+
},
|
2793 |
+
{
|
2794 |
+
"Batch Mean": -0.385115385055542,
|
2795 |
+
"accuracy": 0.7734375,
|
2796 |
+
"epoch": 0.535,
|
2797 |
+
"step": 214
|
2798 |
+
},
|
2799 |
+
{
|
2800 |
+
"epoch": 0.5375,
|
2801 |
+
"grad_norm": 6.92533540725708,
|
2802 |
+
"learning_rate": 2.4342105263157898e-06,
|
2803 |
+
"loss": 0.4084,
|
2804 |
+
"step": 215
|
2805 |
+
},
|
2806 |
+
{
|
2807 |
+
"Batch Mean": -0.4509839415550232,
|
2808 |
+
"accuracy": 0.8359375,
|
2809 |
+
"epoch": 0.5375,
|
2810 |
+
"step": 215
|
2811 |
+
},
|
2812 |
+
{
|
2813 |
+
"epoch": 0.54,
|
2814 |
+
"grad_norm": 6.682870388031006,
|
2815 |
+
"learning_rate": 2.4210526315789477e-06,
|
2816 |
+
"loss": 0.3596,
|
2817 |
+
"step": 216
|
2818 |
+
},
|
2819 |
+
{
|
2820 |
+
"Batch Mean": -0.1237635612487793,
|
2821 |
+
"accuracy": 0.8515625,
|
2822 |
+
"epoch": 0.54,
|
2823 |
+
"step": 216
|
2824 |
+
},
|
2825 |
+
{
|
2826 |
+
"epoch": 0.5425,
|
2827 |
+
"grad_norm": 5.399717330932617,
|
2828 |
+
"learning_rate": 2.4078947368421056e-06,
|
2829 |
+
"loss": 0.3281,
|
2830 |
+
"step": 217
|
2831 |
+
},
|
2832 |
+
{
|
2833 |
+
"Batch Mean": 0.13233089447021484,
|
2834 |
+
"accuracy": 0.8671875,
|
2835 |
+
"epoch": 0.5425,
|
2836 |
+
"step": 217
|
2837 |
+
},
|
2838 |
+
{
|
2839 |
+
"epoch": 0.545,
|
2840 |
+
"grad_norm": 5.121485233306885,
|
2841 |
+
"learning_rate": 2.3947368421052635e-06,
|
2842 |
+
"loss": 0.3375,
|
2843 |
+
"step": 218
|
2844 |
+
},
|
2845 |
+
{
|
2846 |
+
"Batch Mean": 0.2012614607810974,
|
2847 |
+
"accuracy": 0.859375,
|
2848 |
+
"epoch": 0.545,
|
2849 |
+
"step": 218
|
2850 |
+
},
|
2851 |
+
{
|
2852 |
+
"epoch": 0.5475,
|
2853 |
+
"grad_norm": 4.99008846282959,
|
2854 |
+
"learning_rate": 2.381578947368421e-06,
|
2855 |
+
"loss": 0.3365,
|
2856 |
+
"step": 219
|
2857 |
+
},
|
2858 |
+
{
|
2859 |
+
"Batch Mean": 0.5368151664733887,
|
2860 |
+
"accuracy": 0.8671875,
|
2861 |
+
"epoch": 0.5475,
|
2862 |
+
"step": 219
|
2863 |
+
},
|
2864 |
+
{
|
2865 |
+
"epoch": 0.55,
|
2866 |
+
"grad_norm": 6.544676303863525,
|
2867 |
+
"learning_rate": 2.368421052631579e-06,
|
2868 |
+
"loss": 0.3187,
|
2869 |
+
"step": 220
|
2870 |
+
},
|
2871 |
+
{
|
2872 |
+
"Batch Mean": 0.022375822067260742,
|
2873 |
+
"accuracy": 0.828125,
|
2874 |
+
"epoch": 0.55,
|
2875 |
+
"step": 220
|
2876 |
+
},
|
2877 |
+
{
|
2878 |
+
"epoch": 0.5525,
|
2879 |
+
"grad_norm": 6.009125232696533,
|
2880 |
+
"learning_rate": 2.355263157894737e-06,
|
2881 |
+
"loss": 0.3904,
|
2882 |
+
"step": 221
|
2883 |
+
},
|
2884 |
+
{
|
2885 |
+
"Batch Mean": 0.28800055384635925,
|
2886 |
+
"accuracy": 0.8125,
|
2887 |
+
"epoch": 0.5525,
|
2888 |
+
"step": 221
|
2889 |
+
},
|
2890 |
+
{
|
2891 |
+
"epoch": 0.555,
|
2892 |
+
"grad_norm": 6.6932268142700195,
|
2893 |
+
"learning_rate": 2.342105263157895e-06,
|
2894 |
+
"loss": 0.4334,
|
2895 |
+
"step": 222
|
2896 |
+
},
|
2897 |
+
{
|
2898 |
+
"Batch Mean": -0.05706942081451416,
|
2899 |
+
"accuracy": 0.8046875,
|
2900 |
+
"epoch": 0.555,
|
2901 |
+
"step": 222
|
2902 |
+
},
|
2903 |
+
{
|
2904 |
+
"epoch": 0.5575,
|
2905 |
+
"grad_norm": 5.802476406097412,
|
2906 |
+
"learning_rate": 2.328947368421053e-06,
|
2907 |
+
"loss": 0.4048,
|
2908 |
+
"step": 223
|
2909 |
+
},
|
2910 |
+
{
|
2911 |
+
"Batch Mean": -0.35072553157806396,
|
2912 |
+
"accuracy": 0.84375,
|
2913 |
+
"epoch": 0.5575,
|
2914 |
+
"step": 223
|
2915 |
+
},
|
2916 |
+
{
|
2917 |
+
"epoch": 0.56,
|
2918 |
+
"grad_norm": 6.107337474822998,
|
2919 |
+
"learning_rate": 2.3157894736842105e-06,
|
2920 |
+
"loss": 0.3219,
|
2921 |
+
"step": 224
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"Batch Mean": -0.7369738817214966,
|
2925 |
+
"accuracy": 0.7734375,
|
2926 |
+
"epoch": 0.56,
|
2927 |
+
"step": 224
|
2928 |
+
},
|
2929 |
+
{
|
2930 |
+
"epoch": 0.5625,
|
2931 |
+
"grad_norm": 9.2208890914917,
|
2932 |
+
"learning_rate": 2.3026315789473684e-06,
|
2933 |
+
"loss": 0.4371,
|
2934 |
+
"step": 225
|
2935 |
+
},
|
2936 |
+
{
|
2937 |
+
"Batch Mean": -0.1235361099243164,
|
2938 |
+
"accuracy": 0.8515625,
|
2939 |
+
"epoch": 0.5625,
|
2940 |
+
"step": 225
|
2941 |
+
},
|
2942 |
+
{
|
2943 |
+
"epoch": 0.565,
|
2944 |
+
"grad_norm": 5.8800506591796875,
|
2945 |
+
"learning_rate": 2.2894736842105263e-06,
|
2946 |
+
"loss": 0.3281,
|
2947 |
+
"step": 226
|
2948 |
+
},
|
2949 |
+
{
|
2950 |
+
"Batch Mean": -0.03460812568664551,
|
2951 |
+
"accuracy": 0.8671875,
|
2952 |
+
"epoch": 0.565,
|
2953 |
+
"step": 226
|
2954 |
+
},
|
2955 |
+
{
|
2956 |
+
"epoch": 0.5675,
|
2957 |
+
"grad_norm": 6.368298053741455,
|
2958 |
+
"learning_rate": 2.2763157894736847e-06,
|
2959 |
+
"loss": 0.2906,
|
2960 |
+
"step": 227
|
2961 |
+
},
|
2962 |
+
{
|
2963 |
+
"Batch Mean": 0.3625354766845703,
|
2964 |
+
"accuracy": 0.7265625,
|
2965 |
+
"epoch": 0.5675,
|
2966 |
+
"step": 227
|
2967 |
+
},
|
2968 |
+
{
|
2969 |
+
"epoch": 0.57,
|
2970 |
+
"grad_norm": 8.628252983093262,
|
2971 |
+
"learning_rate": 2.2631578947368426e-06,
|
2972 |
+
"loss": 0.5205,
|
2973 |
+
"step": 228
|
2974 |
+
},
|
2975 |
+
{
|
2976 |
+
"Batch Mean": 0.08192723989486694,
|
2977 |
+
"accuracy": 0.7578125,
|
2978 |
+
"epoch": 0.57,
|
2979 |
+
"step": 228
|
2980 |
+
},
|
2981 |
+
{
|
2982 |
+
"epoch": 0.5725,
|
2983 |
+
"grad_norm": 6.3980512619018555,
|
2984 |
+
"learning_rate": 2.25e-06,
|
2985 |
+
"loss": 0.4337,
|
2986 |
+
"step": 229
|
2987 |
+
},
|
2988 |
+
{
|
2989 |
+
"Batch Mean": -0.2664133310317993,
|
2990 |
+
"accuracy": 0.8046875,
|
2991 |
+
"epoch": 0.5725,
|
2992 |
+
"step": 229
|
2993 |
+
},
|
2994 |
+
{
|
2995 |
+
"epoch": 0.575,
|
2996 |
+
"grad_norm": 6.476391315460205,
|
2997 |
+
"learning_rate": 2.236842105263158e-06,
|
2998 |
+
"loss": 0.3604,
|
2999 |
+
"step": 230
|
3000 |
+
},
|
3001 |
+
{
|
3002 |
+
"Batch Mean": 0.4527122974395752,
|
3003 |
+
"accuracy": 0.796875,
|
3004 |
+
"epoch": 0.575,
|
3005 |
+
"step": 230
|
3006 |
+
},
|
3007 |
+
{
|
3008 |
+
"epoch": 0.5775,
|
3009 |
+
"grad_norm": 8.095312118530273,
|
3010 |
+
"learning_rate": 2.223684210526316e-06,
|
3011 |
+
"loss": 0.4297,
|
3012 |
+
"step": 231
|
3013 |
+
},
|
3014 |
+
{
|
3015 |
+
"Batch Mean": -0.08241510391235352,
|
3016 |
+
"accuracy": 0.8203125,
|
3017 |
+
"epoch": 0.5775,
|
3018 |
+
"step": 231
|
3019 |
+
},
|
3020 |
+
{
|
3021 |
+
"epoch": 0.58,
|
3022 |
+
"grad_norm": 5.840095043182373,
|
3023 |
+
"learning_rate": 2.2105263157894738e-06,
|
3024 |
+
"loss": 0.3712,
|
3025 |
+
"step": 232
|
3026 |
+
},
|
3027 |
+
{
|
3028 |
+
"Batch Mean": 0.04206228256225586,
|
3029 |
+
"accuracy": 0.8046875,
|
3030 |
+
"epoch": 0.58,
|
3031 |
+
"step": 232
|
3032 |
+
},
|
3033 |
+
{
|
3034 |
+
"epoch": 0.5825,
|
3035 |
+
"grad_norm": 5.922440528869629,
|
3036 |
+
"learning_rate": 2.1973684210526317e-06,
|
3037 |
+
"loss": 0.3937,
|
3038 |
+
"step": 233
|
3039 |
+
},
|
3040 |
+
{
|
3041 |
+
"Batch Mean": -0.1112813949584961,
|
3042 |
+
"accuracy": 0.8671875,
|
3043 |
+
"epoch": 0.5825,
|
3044 |
+
"step": 233
|
3045 |
+
},
|
3046 |
+
{
|
3047 |
+
"epoch": 0.585,
|
3048 |
+
"grad_norm": 4.804201126098633,
|
3049 |
+
"learning_rate": 2.1842105263157896e-06,
|
3050 |
+
"loss": 0.2852,
|
3051 |
+
"step": 234
|
3052 |
+
},
|
3053 |
+
{
|
3054 |
+
"Batch Mean": 0.18291091918945312,
|
3055 |
+
"accuracy": 0.7890625,
|
3056 |
+
"epoch": 0.585,
|
3057 |
+
"step": 234
|
3058 |
+
},
|
3059 |
+
{
|
3060 |
+
"epoch": 0.5875,
|
3061 |
+
"grad_norm": 6.333522796630859,
|
3062 |
+
"learning_rate": 2.1710526315789475e-06,
|
3063 |
+
"loss": 0.3854,
|
3064 |
+
"step": 235
|
3065 |
+
},
|
3066 |
+
{
|
3067 |
+
"Batch Mean": 0.20920276641845703,
|
3068 |
+
"accuracy": 0.8671875,
|
3069 |
+
"epoch": 0.5875,
|
3070 |
+
"step": 235
|
3071 |
+
},
|
3072 |
+
{
|
3073 |
+
"epoch": 0.59,
|
3074 |
+
"grad_norm": 5.435009479522705,
|
3075 |
+
"learning_rate": 2.1578947368421054e-06,
|
3076 |
+
"loss": 0.3728,
|
3077 |
+
"step": 236
|
3078 |
+
},
|
3079 |
+
{
|
3080 |
+
"Batch Mean": -0.10450601577758789,
|
3081 |
+
"accuracy": 0.8515625,
|
3082 |
+
"epoch": 0.59,
|
3083 |
+
"step": 236
|
3084 |
+
},
|
3085 |
+
{
|
3086 |
+
"epoch": 0.5925,
|
3087 |
+
"grad_norm": 4.914745330810547,
|
3088 |
+
"learning_rate": 2.1447368421052633e-06,
|
3089 |
+
"loss": 0.3217,
|
3090 |
+
"step": 237
|
3091 |
+
},
|
3092 |
+
{
|
3093 |
+
"Batch Mean": -0.7518494129180908,
|
3094 |
+
"accuracy": 0.8125,
|
3095 |
+
"epoch": 0.5925,
|
3096 |
+
"step": 237
|
3097 |
+
},
|
3098 |
+
{
|
3099 |
+
"epoch": 0.595,
|
3100 |
+
"grad_norm": 9.58519172668457,
|
3101 |
+
"learning_rate": 2.1315789473684212e-06,
|
3102 |
+
"loss": 0.3795,
|
3103 |
+
"step": 238
|
3104 |
+
},
|
3105 |
+
{
|
3106 |
+
"Batch Mean": 0.0718802809715271,
|
3107 |
+
"accuracy": 0.859375,
|
3108 |
+
"epoch": 0.595,
|
3109 |
+
"step": 238
|
3110 |
+
},
|
3111 |
+
{
|
3112 |
+
"epoch": 0.5975,
|
3113 |
+
"grad_norm": 5.099031448364258,
|
3114 |
+
"learning_rate": 2.118421052631579e-06,
|
3115 |
+
"loss": 0.3308,
|
3116 |
+
"step": 239
|
3117 |
+
},
|
3118 |
+
{
|
3119 |
+
"Batch Mean": 0.4419422149658203,
|
3120 |
+
"accuracy": 0.8203125,
|
3121 |
+
"epoch": 0.5975,
|
3122 |
+
"step": 239
|
3123 |
+
},
|
3124 |
+
{
|
3125 |
+
"epoch": 0.6,
|
3126 |
+
"grad_norm": 11.365894317626953,
|
3127 |
+
"learning_rate": 2.105263157894737e-06,
|
3128 |
+
"loss": 0.418,
|
3129 |
+
"step": 240
|
3130 |
+
},
|
3131 |
+
{
|
3132 |
+
"Batch Mean": 0.03586006164550781,
|
3133 |
+
"accuracy": 0.8203125,
|
3134 |
+
"epoch": 0.6,
|
3135 |
+
"step": 240
|
3136 |
+
},
|
3137 |
+
{
|
3138 |
+
"epoch": 0.6025,
|
3139 |
+
"grad_norm": 5.9789958000183105,
|
3140 |
+
"learning_rate": 2.092105263157895e-06,
|
3141 |
+
"loss": 0.4069,
|
3142 |
+
"step": 241
|
3143 |
+
},
|
3144 |
+
{
|
3145 |
+
"Batch Mean": 0.29011332988739014,
|
3146 |
+
"accuracy": 0.8359375,
|
3147 |
+
"epoch": 0.6025,
|
3148 |
+
"step": 241
|
3149 |
+
},
|
3150 |
+
{
|
3151 |
+
"epoch": 0.605,
|
3152 |
+
"grad_norm": 5.794040203094482,
|
3153 |
+
"learning_rate": 2.078947368421053e-06,
|
3154 |
+
"loss": 0.3484,
|
3155 |
+
"step": 242
|
3156 |
+
},
|
3157 |
+
{
|
3158 |
+
"Batch Mean": -0.5499505996704102,
|
3159 |
+
"accuracy": 0.8359375,
|
3160 |
+
"epoch": 0.605,
|
3161 |
+
"step": 242
|
3162 |
+
},
|
3163 |
+
{
|
3164 |
+
"epoch": 0.6075,
|
3165 |
+
"grad_norm": 8.262065887451172,
|
3166 |
+
"learning_rate": 2.0657894736842108e-06,
|
3167 |
+
"loss": 0.31,
|
3168 |
+
"step": 243
|
3169 |
+
},
|
3170 |
+
{
|
3171 |
+
"Batch Mean": 0.24885821342468262,
|
3172 |
+
"accuracy": 0.828125,
|
3173 |
+
"epoch": 0.6075,
|
3174 |
+
"step": 243
|
3175 |
+
},
|
3176 |
+
{
|
3177 |
+
"epoch": 0.61,
|
3178 |
+
"grad_norm": 6.190489292144775,
|
3179 |
+
"learning_rate": 2.0526315789473687e-06,
|
3180 |
+
"loss": 0.3916,
|
3181 |
+
"step": 244
|
3182 |
+
},
|
3183 |
+
{
|
3184 |
+
"Batch Mean": -0.26743316650390625,
|
3185 |
+
"accuracy": 0.8203125,
|
3186 |
+
"epoch": 0.61,
|
3187 |
+
"step": 244
|
3188 |
+
},
|
3189 |
+
{
|
3190 |
+
"epoch": 0.6125,
|
3191 |
+
"grad_norm": 6.024500846862793,
|
3192 |
+
"learning_rate": 2.0394736842105266e-06,
|
3193 |
+
"loss": 0.3776,
|
3194 |
+
"step": 245
|
3195 |
+
},
|
3196 |
+
{
|
3197 |
+
"Batch Mean": -0.23404550552368164,
|
3198 |
+
"accuracy": 0.7421875,
|
3199 |
+
"epoch": 0.6125,
|
3200 |
+
"step": 245
|
3201 |
+
},
|
3202 |
+
{
|
3203 |
+
"epoch": 0.615,
|
3204 |
+
"grad_norm": 7.985998630523682,
|
3205 |
+
"learning_rate": 2.026315789473684e-06,
|
3206 |
+
"loss": 0.534,
|
3207 |
+
"step": 246
|
3208 |
+
},
|
3209 |
+
{
|
3210 |
+
"Batch Mean": -0.15702039003372192,
|
3211 |
+
"accuracy": 0.8359375,
|
3212 |
+
"epoch": 0.615,
|
3213 |
+
"step": 246
|
3214 |
+
},
|
3215 |
+
{
|
3216 |
+
"epoch": 0.6175,
|
3217 |
+
"grad_norm": 5.515955924987793,
|
3218 |
+
"learning_rate": 2.013157894736842e-06,
|
3219 |
+
"loss": 0.3521,
|
3220 |
+
"step": 247
|
3221 |
+
},
|
3222 |
+
{
|
3223 |
+
"Batch Mean": 0.08024978637695312,
|
3224 |
+
"accuracy": 0.8125,
|
3225 |
+
"epoch": 0.6175,
|
3226 |
+
"step": 247
|
3227 |
+
},
|
3228 |
+
{
|
3229 |
+
"epoch": 0.62,
|
3230 |
+
"grad_norm": 5.263201713562012,
|
3231 |
+
"learning_rate": 2.0000000000000003e-06,
|
3232 |
+
"loss": 0.3411,
|
3233 |
+
"step": 248
|
3234 |
+
},
|
3235 |
+
{
|
3236 |
+
"Batch Mean": 0.4128882884979248,
|
3237 |
+
"accuracy": 0.8203125,
|
3238 |
+
"epoch": 0.62,
|
3239 |
+
"step": 248
|
3240 |
+
},
|
3241 |
+
{
|
3242 |
+
"epoch": 0.6225,
|
3243 |
+
"grad_norm": 6.7587103843688965,
|
3244 |
+
"learning_rate": 1.9868421052631582e-06,
|
3245 |
+
"loss": 0.415,
|
3246 |
+
"step": 249
|
3247 |
+
},
|
3248 |
+
{
|
3249 |
+
"Batch Mean": 0.2651102542877197,
|
3250 |
+
"accuracy": 0.8046875,
|
3251 |
+
"epoch": 0.6225,
|
3252 |
+
"step": 249
|
3253 |
+
},
|
3254 |
+
{
|
3255 |
+
"epoch": 0.625,
|
3256 |
+
"grad_norm": 5.891829013824463,
|
3257 |
+
"learning_rate": 1.973684210526316e-06,
|
3258 |
+
"loss": 0.3854,
|
3259 |
+
"step": 250
|
3260 |
+
},
|
3261 |
+
{
|
3262 |
+
"Batch Mean": 0.06268704682588577,
|
3263 |
+
"accuracy": 0.859375,
|
3264 |
+
"epoch": 0.625,
|
3265 |
+
"step": 250
|
3266 |
+
},
|
3267 |
+
{
|
3268 |
+
"epoch": 0.6275,
|
3269 |
+
"grad_norm": 4.907006740570068,
|
3270 |
+
"learning_rate": 1.9605263157894736e-06,
|
3271 |
+
"loss": 0.3142,
|
3272 |
+
"step": 251
|
3273 |
+
},
|
3274 |
+
{
|
3275 |
+
"Batch Mean": 0.009827375411987305,
|
3276 |
+
"accuracy": 0.84375,
|
3277 |
+
"epoch": 0.6275,
|
3278 |
+
"step": 251
|
3279 |
+
},
|
3280 |
+
{
|
3281 |
+
"epoch": 0.63,
|
3282 |
+
"grad_norm": 5.065036296844482,
|
3283 |
+
"learning_rate": 1.9473684210526315e-06,
|
3284 |
+
"loss": 0.366,
|
3285 |
+
"step": 252
|
3286 |
+
},
|
3287 |
+
{
|
3288 |
+
"Batch Mean": -0.12906122207641602,
|
3289 |
+
"accuracy": 0.859375,
|
3290 |
+
"epoch": 0.63,
|
3291 |
+
"step": 252
|
3292 |
+
},
|
3293 |
+
{
|
3294 |
+
"epoch": 0.6325,
|
3295 |
+
"grad_norm": 4.897366523742676,
|
3296 |
+
"learning_rate": 1.9342105263157895e-06,
|
3297 |
+
"loss": 0.3514,
|
3298 |
+
"step": 253
|
3299 |
+
},
|
3300 |
+
{
|
3301 |
+
"Batch Mean": -0.2323474884033203,
|
3302 |
+
"accuracy": 0.8125,
|
3303 |
+
"epoch": 0.6325,
|
3304 |
+
"step": 253
|
3305 |
+
},
|
3306 |
+
{
|
3307 |
+
"epoch": 0.635,
|
3308 |
+
"grad_norm": 5.733254909515381,
|
3309 |
+
"learning_rate": 1.9210526315789474e-06,
|
3310 |
+
"loss": 0.3787,
|
3311 |
+
"step": 254
|
3312 |
+
},
|
3313 |
+
{
|
3314 |
+
"Batch Mean": -0.1317148208618164,
|
3315 |
+
"accuracy": 0.75,
|
3316 |
+
"epoch": 0.635,
|
3317 |
+
"step": 254
|
3318 |
+
},
|
3319 |
+
{
|
3320 |
+
"epoch": 0.6375,
|
3321 |
+
"grad_norm": 6.474262714385986,
|
3322 |
+
"learning_rate": 1.9078947368421057e-06,
|
3323 |
+
"loss": 0.4739,
|
3324 |
+
"step": 255
|
3325 |
+
},
|
3326 |
+
{
|
3327 |
+
"Batch Mean": -0.0393298864364624,
|
3328 |
+
"accuracy": 0.8203125,
|
3329 |
+
"epoch": 0.6375,
|
3330 |
+
"step": 255
|
3331 |
+
},
|
3332 |
+
{
|
3333 |
+
"epoch": 0.64,
|
3334 |
+
"grad_norm": 4.841159820556641,
|
3335 |
+
"learning_rate": 1.8947368421052634e-06,
|
3336 |
+
"loss": 0.3731,
|
3337 |
+
"step": 256
|
3338 |
+
},
|
3339 |
+
{
|
3340 |
+
"Batch Mean": 0.10869312286376953,
|
3341 |
+
"accuracy": 0.8359375,
|
3342 |
+
"epoch": 0.64,
|
3343 |
+
"step": 256
|
3344 |
+
},
|
3345 |
+
{
|
3346 |
+
"epoch": 0.6425,
|
3347 |
+
"grad_norm": 5.361686706542969,
|
3348 |
+
"learning_rate": 1.8815789473684213e-06,
|
3349 |
+
"loss": 0.3779,
|
3350 |
+
"step": 257
|
3351 |
+
},
|
3352 |
+
{
|
3353 |
+
"Batch Mean": 0.0021914541721343994,
|
3354 |
+
"accuracy": 0.8125,
|
3355 |
+
"epoch": 0.6425,
|
3356 |
+
"step": 257
|
3357 |
+
},
|
3358 |
+
{
|
3359 |
+
"epoch": 0.645,
|
3360 |
+
"grad_norm": 4.836275100708008,
|
3361 |
+
"learning_rate": 1.868421052631579e-06,
|
3362 |
+
"loss": 0.3551,
|
3363 |
+
"step": 258
|
3364 |
+
},
|
3365 |
+
{
|
3366 |
+
"Batch Mean": -0.3041563034057617,
|
3367 |
+
"accuracy": 0.8125,
|
3368 |
+
"epoch": 0.645,
|
3369 |
+
"step": 258
|
3370 |
+
},
|
3371 |
+
{
|
3372 |
+
"epoch": 0.6475,
|
3373 |
+
"grad_norm": 5.775440692901611,
|
3374 |
+
"learning_rate": 1.855263157894737e-06,
|
3375 |
+
"loss": 0.3664,
|
3376 |
+
"step": 259
|
3377 |
+
},
|
3378 |
+
{
|
3379 |
+
"Batch Mean": 0.22134876251220703,
|
3380 |
+
"accuracy": 0.8515625,
|
3381 |
+
"epoch": 0.6475,
|
3382 |
+
"step": 259
|
3383 |
+
},
|
3384 |
+
{
|
3385 |
+
"epoch": 0.65,
|
3386 |
+
"grad_norm": 5.312914848327637,
|
3387 |
+
"learning_rate": 1.8421052631578948e-06,
|
3388 |
+
"loss": 0.3658,
|
3389 |
+
"step": 260
|
3390 |
+
},
|
3391 |
+
{
|
3392 |
+
"Batch Mean": -0.03800356388092041,
|
3393 |
+
"accuracy": 0.8671875,
|
3394 |
+
"epoch": 0.65,
|
3395 |
+
"step": 260
|
3396 |
+
},
|
3397 |
+
{
|
3398 |
+
"epoch": 0.6525,
|
3399 |
+
"grad_norm": 4.872611045837402,
|
3400 |
+
"learning_rate": 1.828947368421053e-06,
|
3401 |
+
"loss": 0.3535,
|
3402 |
+
"step": 261
|
3403 |
+
},
|
3404 |
+
{
|
3405 |
+
"Batch Mean": 0.17658138275146484,
|
3406 |
+
"accuracy": 0.84375,
|
3407 |
+
"epoch": 0.6525,
|
3408 |
+
"step": 261
|
3409 |
+
},
|
3410 |
+
{
|
3411 |
+
"epoch": 0.655,
|
3412 |
+
"grad_norm": 5.4620280265808105,
|
3413 |
+
"learning_rate": 1.8157894736842109e-06,
|
3414 |
+
"loss": 0.3634,
|
3415 |
+
"step": 262
|
3416 |
+
},
|
3417 |
+
{
|
3418 |
+
"Batch Mean": -0.46340298652648926,
|
3419 |
+
"accuracy": 0.84375,
|
3420 |
+
"epoch": 0.655,
|
3421 |
+
"step": 262
|
3422 |
+
},
|
3423 |
+
{
|
3424 |
+
"epoch": 0.6575,
|
3425 |
+
"grad_norm": 7.282100200653076,
|
3426 |
+
"learning_rate": 1.8026315789473685e-06,
|
3427 |
+
"loss": 0.4022,
|
3428 |
+
"step": 263
|
3429 |
+
},
|
3430 |
+
{
|
3431 |
+
"Batch Mean": -0.3810725212097168,
|
3432 |
+
"accuracy": 0.8359375,
|
3433 |
+
"epoch": 0.6575,
|
3434 |
+
"step": 263
|
3435 |
+
},
|
3436 |
+
{
|
3437 |
+
"epoch": 0.66,
|
3438 |
+
"grad_norm": 6.1263227462768555,
|
3439 |
+
"learning_rate": 1.7894736842105265e-06,
|
3440 |
+
"loss": 0.3521,
|
3441 |
+
"step": 264
|
3442 |
+
},
|
3443 |
+
{
|
3444 |
+
"Batch Mean": -0.06390047073364258,
|
3445 |
+
"accuracy": 0.8515625,
|
3446 |
+
"epoch": 0.66,
|
3447 |
+
"step": 264
|
3448 |
+
},
|
3449 |
+
{
|
3450 |
+
"epoch": 0.6625,
|
3451 |
+
"grad_norm": 5.438608646392822,
|
3452 |
+
"learning_rate": 1.7763157894736844e-06,
|
3453 |
+
"loss": 0.3473,
|
3454 |
+
"step": 265
|
3455 |
+
},
|
3456 |
+
{
|
3457 |
+
"Batch Mean": 0.591982364654541,
|
3458 |
+
"accuracy": 0.8125,
|
3459 |
+
"epoch": 0.6625,
|
3460 |
+
"step": 265
|
3461 |
+
},
|
3462 |
+
{
|
3463 |
+
"epoch": 0.665,
|
3464 |
+
"grad_norm": 8.58743667602539,
|
3465 |
+
"learning_rate": 1.7631578947368423e-06,
|
3466 |
+
"loss": 0.4313,
|
3467 |
+
"step": 266
|
3468 |
+
},
|
3469 |
+
{
|
3470 |
+
"Batch Mean": 0.41609740257263184,
|
3471 |
+
"accuracy": 0.8671875,
|
3472 |
+
"epoch": 0.665,
|
3473 |
+
"step": 266
|
3474 |
+
},
|
3475 |
+
{
|
3476 |
+
"epoch": 0.6675,
|
3477 |
+
"grad_norm": 6.497260570526123,
|
3478 |
+
"learning_rate": 1.75e-06,
|
3479 |
+
"loss": 0.289,
|
3480 |
+
"step": 267
|
3481 |
+
},
|
3482 |
+
{
|
3483 |
+
"Batch Mean": 0.10641050338745117,
|
3484 |
+
"accuracy": 0.8203125,
|
3485 |
+
"epoch": 0.6675,
|
3486 |
+
"step": 267
|
3487 |
+
},
|
3488 |
+
{
|
3489 |
+
"epoch": 0.67,
|
3490 |
+
"grad_norm": 6.662869930267334,
|
3491 |
+
"learning_rate": 1.736842105263158e-06,
|
3492 |
+
"loss": 0.3987,
|
3493 |
+
"step": 268
|
3494 |
+
},
|
3495 |
+
{
|
3496 |
+
"Batch Mean": 0.5242280960083008,
|
3497 |
+
"accuracy": 0.8125,
|
3498 |
+
"epoch": 0.67,
|
3499 |
+
"step": 268
|
3500 |
+
},
|
3501 |
+
{
|
3502 |
+
"epoch": 0.6725,
|
3503 |
+
"grad_norm": 7.127610206604004,
|
3504 |
+
"learning_rate": 1.723684210526316e-06,
|
3505 |
+
"loss": 0.3469,
|
3506 |
+
"step": 269
|
3507 |
+
},
|
3508 |
+
{
|
3509 |
+
"Batch Mean": 0.22644498944282532,
|
3510 |
+
"accuracy": 0.875,
|
3511 |
+
"epoch": 0.6725,
|
3512 |
+
"step": 269
|
3513 |
+
},
|
3514 |
+
{
|
3515 |
+
"epoch": 0.675,
|
3516 |
+
"grad_norm": 5.849222183227539,
|
3517 |
+
"learning_rate": 1.710526315789474e-06,
|
3518 |
+
"loss": 0.3443,
|
3519 |
+
"step": 270
|
3520 |
+
},
|
3521 |
+
{
|
3522 |
+
"Batch Mean": -0.5374040603637695,
|
3523 |
+
"accuracy": 0.875,
|
3524 |
+
"epoch": 0.675,
|
3525 |
+
"step": 270
|
3526 |
+
},
|
3527 |
+
{
|
3528 |
+
"epoch": 0.6775,
|
3529 |
+
"grad_norm": 7.3331990242004395,
|
3530 |
+
"learning_rate": 1.6973684210526318e-06,
|
3531 |
+
"loss": 0.3233,
|
3532 |
+
"step": 271
|
3533 |
+
},
|
3534 |
+
{
|
3535 |
+
"Batch Mean": -0.5392742156982422,
|
3536 |
+
"accuracy": 0.859375,
|
3537 |
+
"epoch": 0.6775,
|
3538 |
+
"step": 271
|
3539 |
+
},
|
3540 |
+
{
|
3541 |
+
"epoch": 0.68,
|
3542 |
+
"grad_norm": 8.307405471801758,
|
3543 |
+
"learning_rate": 1.6842105263157895e-06,
|
3544 |
+
"loss": 0.3344,
|
3545 |
+
"step": 272
|
3546 |
+
},
|
3547 |
+
{
|
3548 |
+
"Batch Mean": -0.2637630105018616,
|
3549 |
+
"accuracy": 0.8046875,
|
3550 |
+
"epoch": 0.68,
|
3551 |
+
"step": 272
|
3552 |
+
},
|
3553 |
+
{
|
3554 |
+
"epoch": 0.6825,
|
3555 |
+
"grad_norm": 6.486652374267578,
|
3556 |
+
"learning_rate": 1.6710526315789474e-06,
|
3557 |
+
"loss": 0.3553,
|
3558 |
+
"step": 273
|
3559 |
+
},
|
3560 |
+
{
|
3561 |
+
"Batch Mean": -0.19452619552612305,
|
3562 |
+
"accuracy": 0.8046875,
|
3563 |
+
"epoch": 0.6825,
|
3564 |
+
"step": 273
|
3565 |
+
},
|
3566 |
+
{
|
3567 |
+
"epoch": 0.685,
|
3568 |
+
"grad_norm": 5.73057222366333,
|
3569 |
+
"learning_rate": 1.6578947368421053e-06,
|
3570 |
+
"loss": 0.3737,
|
3571 |
+
"step": 274
|
3572 |
+
},
|
3573 |
+
{
|
3574 |
+
"Batch Mean": 0.2827339172363281,
|
3575 |
+
"accuracy": 0.828125,
|
3576 |
+
"epoch": 0.685,
|
3577 |
+
"step": 274
|
3578 |
+
},
|
3579 |
+
{
|
3580 |
+
"epoch": 0.6875,
|
3581 |
+
"grad_norm": 6.780818939208984,
|
3582 |
+
"learning_rate": 1.6447368421052635e-06,
|
3583 |
+
"loss": 0.3521,
|
3584 |
+
"step": 275
|
3585 |
+
},
|
3586 |
+
{
|
3587 |
+
"Batch Mean": 0.45183420181274414,
|
3588 |
+
"accuracy": 0.84375,
|
3589 |
+
"epoch": 0.6875,
|
3590 |
+
"step": 275
|
3591 |
+
},
|
3592 |
+
{
|
3593 |
+
"epoch": 0.69,
|
3594 |
+
"grad_norm": 8.210237503051758,
|
3595 |
+
"learning_rate": 1.6315789473684212e-06,
|
3596 |
+
"loss": 0.4362,
|
3597 |
+
"step": 276
|
3598 |
+
},
|
3599 |
+
{
|
3600 |
+
"Batch Mean": 0.2845495939254761,
|
3601 |
+
"accuracy": 0.765625,
|
3602 |
+
"epoch": 0.69,
|
3603 |
+
"step": 276
|
3604 |
+
},
|
3605 |
+
{
|
3606 |
+
"epoch": 0.6925,
|
3607 |
+
"grad_norm": 7.878791332244873,
|
3608 |
+
"learning_rate": 1.618421052631579e-06,
|
3609 |
+
"loss": 0.4695,
|
3610 |
+
"step": 277
|
3611 |
+
},
|
3612 |
+
{
|
3613 |
+
"Batch Mean": 0.24765238165855408,
|
3614 |
+
"accuracy": 0.8359375,
|
3615 |
+
"epoch": 0.6925,
|
3616 |
+
"step": 277
|
3617 |
+
},
|
3618 |
+
{
|
3619 |
+
"epoch": 0.695,
|
3620 |
+
"grad_norm": 6.432671070098877,
|
3621 |
+
"learning_rate": 1.605263157894737e-06,
|
3622 |
+
"loss": 0.3256,
|
3623 |
+
"step": 278
|
3624 |
+
},
|
3625 |
+
{
|
3626 |
+
"Batch Mean": -0.01769864559173584,
|
3627 |
+
"accuracy": 0.8046875,
|
3628 |
+
"epoch": 0.695,
|
3629 |
+
"step": 278
|
3630 |
+
},
|
3631 |
+
{
|
3632 |
+
"epoch": 0.6975,
|
3633 |
+
"grad_norm": 6.705868721008301,
|
3634 |
+
"learning_rate": 1.5921052631578949e-06,
|
3635 |
+
"loss": 0.3824,
|
3636 |
+
"step": 279
|
3637 |
+
},
|
3638 |
+
{
|
3639 |
+
"Batch Mean": -0.5642671585083008,
|
3640 |
+
"accuracy": 0.8203125,
|
3641 |
+
"epoch": 0.6975,
|
3642 |
+
"step": 279
|
3643 |
+
},
|
3644 |
+
{
|
3645 |
+
"epoch": 0.7,
|
3646 |
+
"grad_norm": 7.755029201507568,
|
3647 |
+
"learning_rate": 1.5789473684210526e-06,
|
3648 |
+
"loss": 0.349,
|
3649 |
+
"step": 280
|
3650 |
+
},
|
3651 |
+
{
|
3652 |
+
"Batch Mean": -0.49985718727111816,
|
3653 |
+
"accuracy": 0.8125,
|
3654 |
+
"epoch": 0.7,
|
3655 |
+
"step": 280
|
3656 |
+
},
|
3657 |
+
{
|
3658 |
+
"epoch": 0.7025,
|
3659 |
+
"grad_norm": 8.260653495788574,
|
3660 |
+
"learning_rate": 1.5657894736842105e-06,
|
3661 |
+
"loss": 0.438,
|
3662 |
+
"step": 281
|
3663 |
+
},
|
3664 |
+
{
|
3665 |
+
"Batch Mean": -0.30716943740844727,
|
3666 |
+
"accuracy": 0.8515625,
|
3667 |
+
"epoch": 0.7025,
|
3668 |
+
"step": 281
|
3669 |
+
},
|
3670 |
+
{
|
3671 |
+
"epoch": 0.705,
|
3672 |
+
"grad_norm": 6.337352752685547,
|
3673 |
+
"learning_rate": 1.5526315789473686e-06,
|
3674 |
+
"loss": 0.3346,
|
3675 |
+
"step": 282
|
3676 |
+
},
|
3677 |
+
{
|
3678 |
+
"Batch Mean": 0.08174550533294678,
|
3679 |
+
"accuracy": 0.828125,
|
3680 |
+
"epoch": 0.705,
|
3681 |
+
"step": 282
|
3682 |
+
},
|
3683 |
+
{
|
3684 |
+
"epoch": 0.7075,
|
3685 |
+
"grad_norm": 5.9810380935668945,
|
3686 |
+
"learning_rate": 1.5394736842105265e-06,
|
3687 |
+
"loss": 0.3852,
|
3688 |
+
"step": 283
|
3689 |
+
},
|
3690 |
+
{
|
3691 |
+
"Batch Mean": 0.15669594705104828,
|
3692 |
+
"accuracy": 0.8515625,
|
3693 |
+
"epoch": 0.7075,
|
3694 |
+
"step": 283
|
3695 |
+
},
|
3696 |
+
{
|
3697 |
+
"epoch": 0.71,
|
3698 |
+
"grad_norm": 5.605470657348633,
|
3699 |
+
"learning_rate": 1.5263157894736844e-06,
|
3700 |
+
"loss": 0.3186,
|
3701 |
+
"step": 284
|
3702 |
+
},
|
3703 |
+
{
|
3704 |
+
"Batch Mean": -0.0030188560485839844,
|
3705 |
+
"accuracy": 0.8515625,
|
3706 |
+
"epoch": 0.71,
|
3707 |
+
"step": 284
|
3708 |
+
},
|
3709 |
+
{
|
3710 |
+
"epoch": 0.7125,
|
3711 |
+
"grad_norm": 5.514898300170898,
|
3712 |
+
"learning_rate": 1.5131578947368421e-06,
|
3713 |
+
"loss": 0.3126,
|
3714 |
+
"step": 285
|
3715 |
+
},
|
3716 |
+
{
|
3717 |
+
"Batch Mean": 0.1930232048034668,
|
3718 |
+
"accuracy": 0.84375,
|
3719 |
+
"epoch": 0.7125,
|
3720 |
+
"step": 285
|
3721 |
+
},
|
3722 |
+
{
|
3723 |
+
"epoch": 0.715,
|
3724 |
+
"grad_norm": 6.415936470031738,
|
3725 |
+
"learning_rate": 1.5e-06,
|
3726 |
+
"loss": 0.3649,
|
3727 |
+
"step": 286
|
3728 |
+
},
|
3729 |
+
{
|
3730 |
+
"Batch Mean": 0.2962369918823242,
|
3731 |
+
"accuracy": 0.8671875,
|
3732 |
+
"epoch": 0.715,
|
3733 |
+
"step": 286
|
3734 |
+
},
|
3735 |
+
{
|
3736 |
+
"epoch": 0.7175,
|
3737 |
+
"grad_norm": 6.742696285247803,
|
3738 |
+
"learning_rate": 1.486842105263158e-06,
|
3739 |
+
"loss": 0.3298,
|
3740 |
+
"step": 287
|
3741 |
+
},
|
3742 |
+
{
|
3743 |
+
"Batch Mean": -0.0600665807723999,
|
3744 |
+
"accuracy": 0.78125,
|
3745 |
+
"epoch": 0.7175,
|
3746 |
+
"step": 287
|
3747 |
+
},
|
3748 |
+
{
|
3749 |
+
"epoch": 0.72,
|
3750 |
+
"grad_norm": 5.89642858505249,
|
3751 |
+
"learning_rate": 1.4736842105263159e-06,
|
3752 |
+
"loss": 0.4032,
|
3753 |
+
"step": 288
|
3754 |
+
},
|
3755 |
+
{
|
3756 |
+
"Batch Mean": -0.012648344039916992,
|
3757 |
+
"accuracy": 0.890625,
|
3758 |
+
"epoch": 0.72,
|
3759 |
+
"step": 288
|
3760 |
+
},
|
3761 |
+
{
|
3762 |
+
"epoch": 0.7225,
|
3763 |
+
"grad_norm": 4.926860809326172,
|
3764 |
+
"learning_rate": 1.460526315789474e-06,
|
3765 |
+
"loss": 0.2753,
|
3766 |
+
"step": 289
|
3767 |
+
},
|
3768 |
+
{
|
3769 |
+
"Batch Mean": -0.09966588020324707,
|
3770 |
+
"accuracy": 0.8359375,
|
3771 |
+
"epoch": 0.7225,
|
3772 |
+
"step": 289
|
3773 |
+
},
|
3774 |
+
{
|
3775 |
+
"epoch": 0.725,
|
3776 |
+
"grad_norm": 6.0810394287109375,
|
3777 |
+
"learning_rate": 1.4473684210526317e-06,
|
3778 |
+
"loss": 0.3398,
|
3779 |
+
"step": 290
|
3780 |
+
},
|
3781 |
+
{
|
3782 |
+
"Batch Mean": 0.2990548014640808,
|
3783 |
+
"accuracy": 0.8125,
|
3784 |
+
"epoch": 0.725,
|
3785 |
+
"step": 290
|
3786 |
+
},
|
3787 |
+
{
|
3788 |
+
"epoch": 0.7275,
|
3789 |
+
"grad_norm": 6.704870223999023,
|
3790 |
+
"learning_rate": 1.4342105263157896e-06,
|
3791 |
+
"loss": 0.3789,
|
3792 |
+
"step": 291
|
3793 |
+
},
|
3794 |
+
{
|
3795 |
+
"Batch Mean": -0.30427980422973633,
|
3796 |
+
"accuracy": 0.78125,
|
3797 |
+
"epoch": 0.7275,
|
3798 |
+
"step": 291
|
3799 |
+
},
|
3800 |
+
{
|
3801 |
+
"epoch": 0.73,
|
3802 |
+
"grad_norm": 7.633101940155029,
|
3803 |
+
"learning_rate": 1.4210526315789475e-06,
|
3804 |
+
"loss": 0.4531,
|
3805 |
+
"step": 292
|
3806 |
+
},
|
3807 |
+
{
|
3808 |
+
"Batch Mean": -0.5276459455490112,
|
3809 |
+
"accuracy": 0.765625,
|
3810 |
+
"epoch": 0.73,
|
3811 |
+
"step": 292
|
3812 |
+
},
|
3813 |
+
{
|
3814 |
+
"epoch": 0.7325,
|
3815 |
+
"grad_norm": 7.3620829582214355,
|
3816 |
+
"learning_rate": 1.4078947368421054e-06,
|
3817 |
+
"loss": 0.4443,
|
3818 |
+
"step": 293
|
3819 |
+
},
|
3820 |
+
{
|
3821 |
+
"Batch Mean": 0.03517109155654907,
|
3822 |
+
"accuracy": 0.8515625,
|
3823 |
+
"epoch": 0.7325,
|
3824 |
+
"step": 293
|
3825 |
+
},
|
3826 |
+
{
|
3827 |
+
"epoch": 0.735,
|
3828 |
+
"grad_norm": 5.785881996154785,
|
3829 |
+
"learning_rate": 1.394736842105263e-06,
|
3830 |
+
"loss": 0.314,
|
3831 |
+
"step": 294
|
3832 |
+
},
|
3833 |
+
{
|
3834 |
+
"Batch Mean": 0.1681404411792755,
|
3835 |
+
"accuracy": 0.8125,
|
3836 |
+
"epoch": 0.735,
|
3837 |
+
"step": 294
|
3838 |
+
},
|
3839 |
+
{
|
3840 |
+
"epoch": 0.7375,
|
3841 |
+
"grad_norm": 6.820896148681641,
|
3842 |
+
"learning_rate": 1.3815789473684212e-06,
|
3843 |
+
"loss": 0.3912,
|
3844 |
+
"step": 295
|
3845 |
+
},
|
3846 |
+
{
|
3847 |
+
"Batch Mean": -0.14338159561157227,
|
3848 |
+
"accuracy": 0.84375,
|
3849 |
+
"epoch": 0.7375,
|
3850 |
+
"step": 295
|
3851 |
+
},
|
3852 |
+
{
|
3853 |
+
"epoch": 0.74,
|
3854 |
+
"grad_norm": 5.598686695098877,
|
3855 |
+
"learning_rate": 1.3684210526315791e-06,
|
3856 |
+
"loss": 0.3388,
|
3857 |
+
"step": 296
|
3858 |
+
},
|
3859 |
+
{
|
3860 |
+
"Batch Mean": 0.2691183090209961,
|
3861 |
+
"accuracy": 0.8515625,
|
3862 |
+
"epoch": 0.74,
|
3863 |
+
"step": 296
|
3864 |
+
},
|
3865 |
+
{
|
3866 |
+
"epoch": 0.7425,
|
3867 |
+
"grad_norm": 6.6116204261779785,
|
3868 |
+
"learning_rate": 1.355263157894737e-06,
|
3869 |
+
"loss": 0.3936,
|
3870 |
+
"step": 297
|
3871 |
+
},
|
3872 |
+
{
|
3873 |
+
"Batch Mean": 0.0850672721862793,
|
3874 |
+
"accuracy": 0.8515625,
|
3875 |
+
"epoch": 0.7425,
|
3876 |
+
"step": 297
|
3877 |
+
},
|
3878 |
+
{
|
3879 |
+
"epoch": 0.745,
|
3880 |
+
"grad_norm": 5.332149028778076,
|
3881 |
+
"learning_rate": 1.342105263157895e-06,
|
3882 |
+
"loss": 0.3688,
|
3883 |
+
"step": 298
|
3884 |
+
},
|
3885 |
+
{
|
3886 |
+
"Batch Mean": 0.010596275329589844,
|
3887 |
+
"accuracy": 0.8125,
|
3888 |
+
"epoch": 0.745,
|
3889 |
+
"step": 298
|
3890 |
+
},
|
3891 |
+
{
|
3892 |
+
"epoch": 0.7475,
|
3893 |
+
"grad_norm": 5.3448333740234375,
|
3894 |
+
"learning_rate": 1.3289473684210526e-06,
|
3895 |
+
"loss": 0.3777,
|
3896 |
+
"step": 299
|
3897 |
+
},
|
3898 |
+
{
|
3899 |
+
"Batch Mean": 0.0567474365234375,
|
3900 |
+
"accuracy": 0.875,
|
3901 |
+
"epoch": 0.7475,
|
3902 |
+
"step": 299
|
3903 |
+
},
|
3904 |
+
{
|
3905 |
+
"epoch": 0.75,
|
3906 |
+
"grad_norm": 5.18348503112793,
|
3907 |
+
"learning_rate": 1.3157894736842106e-06,
|
3908 |
+
"loss": 0.3376,
|
3909 |
+
"step": 300
|
3910 |
+
}
|
3911 |
+
],
|
3912 |
+
"logging_steps": 1,
|
3913 |
+
"max_steps": 400,
|
3914 |
+
"num_input_tokens_seen": 0,
|
3915 |
+
"num_train_epochs": 1,
|
3916 |
+
"save_steps": 100,
|
3917 |
+
"stateful_callbacks": {
|
3918 |
+
"TrainerControl": {
|
3919 |
+
"args": {
|
3920 |
+
"should_epoch_stop": false,
|
3921 |
+
"should_evaluate": false,
|
3922 |
+
"should_log": false,
|
3923 |
+
"should_save": true,
|
3924 |
+
"should_training_stop": false
|
3925 |
+
},
|
3926 |
+
"attributes": {}
|
3927 |
+
}
|
3928 |
+
},
|
3929 |
+
"total_flos": 0.0,
|
3930 |
+
"train_batch_size": 16,
|
3931 |
+
"trial_name": null,
|
3932 |
+
"trial_params": null
|
3933 |
+
}
|
checkpoint-300/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:108253c2924ab960b742973fd9045c7f43b2d39e8229930aed15fd573ed1620a
|
3 |
+
size 5752
|
checkpoint-300/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-400/added_tokens.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</tool_call>": 151658,
|
3 |
+
"<tool_call>": 151657,
|
4 |
+
"<|box_end|>": 151649,
|
5 |
+
"<|box_start|>": 151648,
|
6 |
+
"<|endoftext|>": 151643,
|
7 |
+
"<|file_sep|>": 151664,
|
8 |
+
"<|fim_middle|>": 151660,
|
9 |
+
"<|fim_pad|>": 151662,
|
10 |
+
"<|fim_prefix|>": 151659,
|
11 |
+
"<|fim_suffix|>": 151661,
|
12 |
+
"<|im_end|>": 151645,
|
13 |
+
"<|im_start|>": 151644,
|
14 |
+
"<|image_pad|>": 151655,
|
15 |
+
"<|object_ref_end|>": 151647,
|
16 |
+
"<|object_ref_start|>": 151646,
|
17 |
+
"<|quad_end|>": 151651,
|
18 |
+
"<|quad_start|>": 151650,
|
19 |
+
"<|repo_name|>": 151663,
|
20 |
+
"<|video_pad|>": 151656,
|
21 |
+
"<|vision_end|>": 151653,
|
22 |
+
"<|vision_pad|>": 151654,
|
23 |
+
"<|vision_start|>": 151652
|
24 |
+
}
|
checkpoint-400/config.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "tlrm/Q25-1.5B-UC",
|
3 |
+
"architectures": [
|
4 |
+
"Qwen2ForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 151643,
|
8 |
+
"eos_token_id": 151645,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 1536,
|
11 |
+
"id2label": {
|
12 |
+
"0": "LABEL_0"
|
13 |
+
},
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 8960,
|
16 |
+
"label2id": {
|
17 |
+
"LABEL_0": 0
|
18 |
+
},
|
19 |
+
"max_position_embeddings": 131072,
|
20 |
+
"max_window_layers": 28,
|
21 |
+
"model_type": "qwen2",
|
22 |
+
"num_attention_heads": 12,
|
23 |
+
"num_hidden_layers": 28,
|
24 |
+
"num_key_value_heads": 2,
|
25 |
+
"pad_token_id": 151643,
|
26 |
+
"rms_norm_eps": 1e-06,
|
27 |
+
"rope_scaling": null,
|
28 |
+
"rope_theta": 1000000.0,
|
29 |
+
"sliding_window": null,
|
30 |
+
"tie_word_embeddings": true,
|
31 |
+
"torch_dtype": "float32",
|
32 |
+
"transformers_version": "4.48.0",
|
33 |
+
"use_cache": false,
|
34 |
+
"use_mrope": false,
|
35 |
+
"use_sliding_window": false,
|
36 |
+
"vocab_size": 151936
|
37 |
+
}
|
checkpoint-400/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-400/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9df475f3431902ed315bba7425b846700d3a36b0782a353354c2dd91b45996b6
|
3 |
+
size 4996670464
|
checkpoint-400/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0cb419031e6830f6d662c69fe4dd6de7ea9ed9df71b376bf20355cea70c9aabb
|
3 |
+
size 1178231192
|
checkpoint-400/model.safetensors.index.json
ADDED
@@ -0,0 +1,346 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 6174863360
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
7 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
8 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
9 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
10 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
12 |
+
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
16 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
17 |
+
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
18 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
19 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
20 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
21 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
22 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
23 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
24 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
25 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
26 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
27 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
28 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
29 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
30 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
31 |
+
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
32 |
+
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
33 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
34 |
+
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
35 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
36 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
37 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
38 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
39 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
40 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
41 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
42 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
43 |
+
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
44 |
+
"model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
45 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
46 |
+
"model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
47 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
48 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
49 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
50 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
51 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
52 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
53 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
54 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
55 |
+
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
56 |
+
"model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
57 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
58 |
+
"model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
59 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
60 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
61 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
62 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
63 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
64 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
65 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
66 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
67 |
+
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
68 |
+
"model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
69 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
70 |
+
"model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
71 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
72 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
73 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
74 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
75 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
76 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
77 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
78 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
79 |
+
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
80 |
+
"model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
81 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
82 |
+
"model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
83 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
84 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
85 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
86 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
87 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
88 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
89 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
90 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
91 |
+
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
92 |
+
"model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
93 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
94 |
+
"model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
95 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
96 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
97 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
98 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
99 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
100 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
101 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
102 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
103 |
+
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
104 |
+
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
105 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
106 |
+
"model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
107 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
108 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
109 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
110 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
111 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
112 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
113 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
114 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
115 |
+
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
116 |
+
"model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
117 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
118 |
+
"model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
119 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
120 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
121 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
122 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
123 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
124 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
125 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
126 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
127 |
+
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
128 |
+
"model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
129 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
130 |
+
"model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
131 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
132 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
133 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
134 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
135 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
136 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
137 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
138 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
139 |
+
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
140 |
+
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
141 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
142 |
+
"model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
143 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
144 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
145 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
146 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
147 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
148 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
149 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
150 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
151 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
152 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
153 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
154 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
155 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
156 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
157 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
158 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
159 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
160 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
161 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
162 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
163 |
+
"model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
164 |
+
"model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
165 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
166 |
+
"model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
167 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
168 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
169 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
170 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
171 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
172 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
173 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
174 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
175 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
176 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
177 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
178 |
+
"model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
179 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
180 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
181 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
182 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
183 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
184 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
185 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
186 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
187 |
+
"model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
188 |
+
"model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
189 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
190 |
+
"model.layers.22.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
191 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
192 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
193 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
194 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
195 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
196 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
197 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
198 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
199 |
+
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
200 |
+
"model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
201 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
202 |
+
"model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
203 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
204 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
205 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
206 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
207 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
208 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
209 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
210 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
211 |
+
"model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
212 |
+
"model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
213 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
214 |
+
"model.layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
215 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
216 |
+
"model.layers.24.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
217 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
218 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
219 |
+
"model.layers.24.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
220 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
221 |
+
"model.layers.24.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
222 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
223 |
+
"model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
224 |
+
"model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
225 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
226 |
+
"model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
227 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
228 |
+
"model.layers.25.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
229 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
230 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
231 |
+
"model.layers.25.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
232 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
233 |
+
"model.layers.25.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
234 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
235 |
+
"model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
236 |
+
"model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
237 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
238 |
+
"model.layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
239 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
240 |
+
"model.layers.26.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
241 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
242 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
243 |
+
"model.layers.26.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
244 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
245 |
+
"model.layers.26.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
246 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
247 |
+
"model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
248 |
+
"model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
249 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
250 |
+
"model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
251 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
252 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
|
253 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
254 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
255 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
|
256 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
257 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
|
258 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
259 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
260 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
261 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
262 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
263 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
264 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
265 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
266 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
267 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
268 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
269 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
270 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
271 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
272 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
273 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
274 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
275 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
276 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
277 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
278 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
279 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
280 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
281 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
282 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
283 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
284 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
285 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
286 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
287 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
288 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
289 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
290 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
291 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
292 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
293 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
294 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
295 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
296 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
297 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
298 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
299 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
300 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
301 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
302 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
303 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
304 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
305 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
306 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
307 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
308 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
309 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
310 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
311 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
312 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
313 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
314 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
315 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
316 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
317 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
318 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
319 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
320 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
321 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
322 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
323 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
324 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
325 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
326 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
327 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
328 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
329 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
330 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
331 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
332 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
333 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
334 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
335 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
336 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
337 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
338 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
339 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
340 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
341 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
342 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
343 |
+
"model.norm.weight": "model-00002-of-00002.safetensors",
|
344 |
+
"score.weight": "model-00002-of-00002.safetensors"
|
345 |
+
}
|
346 |
+
}
|
checkpoint-400/special_tokens_map.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>",
|
5 |
+
"<|object_ref_start|>",
|
6 |
+
"<|object_ref_end|>",
|
7 |
+
"<|box_start|>",
|
8 |
+
"<|box_end|>",
|
9 |
+
"<|quad_start|>",
|
10 |
+
"<|quad_end|>",
|
11 |
+
"<|vision_start|>",
|
12 |
+
"<|vision_end|>",
|
13 |
+
"<|vision_pad|>",
|
14 |
+
"<|image_pad|>",
|
15 |
+
"<|video_pad|>"
|
16 |
+
],
|
17 |
+
"eos_token": {
|
18 |
+
"content": "<|im_end|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
},
|
24 |
+
"pad_token": {
|
25 |
+
"content": "<|endoftext|>",
|
26 |
+
"lstrip": false,
|
27 |
+
"normalized": false,
|
28 |
+
"rstrip": false,
|
29 |
+
"single_word": false
|
30 |
+
}
|
31 |
+
}
|
checkpoint-400/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
3 |
+
size 11421896
|
checkpoint-400/tokenizer_config.json
ADDED
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_prefix_space": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"151643": {
|
6 |
+
"content": "<|endoftext|>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"151644": {
|
14 |
+
"content": "<|im_start|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"151645": {
|
22 |
+
"content": "<|im_end|>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"151646": {
|
30 |
+
"content": "<|object_ref_start|>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"151647": {
|
38 |
+
"content": "<|object_ref_end|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"151648": {
|
46 |
+
"content": "<|box_start|>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"151649": {
|
54 |
+
"content": "<|box_end|>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
},
|
61 |
+
"151650": {
|
62 |
+
"content": "<|quad_start|>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": false,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": true
|
68 |
+
},
|
69 |
+
"151651": {
|
70 |
+
"content": "<|quad_end|>",
|
71 |
+
"lstrip": false,
|
72 |
+
"normalized": false,
|
73 |
+
"rstrip": false,
|
74 |
+
"single_word": false,
|
75 |
+
"special": true
|
76 |
+
},
|
77 |
+
"151652": {
|
78 |
+
"content": "<|vision_start|>",
|
79 |
+
"lstrip": false,
|
80 |
+
"normalized": false,
|
81 |
+
"rstrip": false,
|
82 |
+
"single_word": false,
|
83 |
+
"special": true
|
84 |
+
},
|
85 |
+
"151653": {
|
86 |
+
"content": "<|vision_end|>",
|
87 |
+
"lstrip": false,
|
88 |
+
"normalized": false,
|
89 |
+
"rstrip": false,
|
90 |
+
"single_word": false,
|
91 |
+
"special": true
|
92 |
+
},
|
93 |
+
"151654": {
|
94 |
+
"content": "<|vision_pad|>",
|
95 |
+
"lstrip": false,
|
96 |
+
"normalized": false,
|
97 |
+
"rstrip": false,
|
98 |
+
"single_word": false,
|
99 |
+
"special": true
|
100 |
+
},
|
101 |
+
"151655": {
|
102 |
+
"content": "<|image_pad|>",
|
103 |
+
"lstrip": false,
|
104 |
+
"normalized": false,
|
105 |
+
"rstrip": false,
|
106 |
+
"single_word": false,
|
107 |
+
"special": true
|
108 |
+
},
|
109 |
+
"151656": {
|
110 |
+
"content": "<|video_pad|>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": false,
|
113 |
+
"rstrip": false,
|
114 |
+
"single_word": false,
|
115 |
+
"special": true
|
116 |
+
},
|
117 |
+
"151657": {
|
118 |
+
"content": "<tool_call>",
|
119 |
+
"lstrip": false,
|
120 |
+
"normalized": false,
|
121 |
+
"rstrip": false,
|
122 |
+
"single_word": false,
|
123 |
+
"special": false
|
124 |
+
},
|
125 |
+
"151658": {
|
126 |
+
"content": "</tool_call>",
|
127 |
+
"lstrip": false,
|
128 |
+
"normalized": false,
|
129 |
+
"rstrip": false,
|
130 |
+
"single_word": false,
|
131 |
+
"special": false
|
132 |
+
},
|
133 |
+
"151659": {
|
134 |
+
"content": "<|fim_prefix|>",
|
135 |
+
"lstrip": false,
|
136 |
+
"normalized": false,
|
137 |
+
"rstrip": false,
|
138 |
+
"single_word": false,
|
139 |
+
"special": false
|
140 |
+
},
|
141 |
+
"151660": {
|
142 |
+
"content": "<|fim_middle|>",
|
143 |
+
"lstrip": false,
|
144 |
+
"normalized": false,
|
145 |
+
"rstrip": false,
|
146 |
+
"single_word": false,
|
147 |
+
"special": false
|
148 |
+
},
|
149 |
+
"151661": {
|
150 |
+
"content": "<|fim_suffix|>",
|
151 |
+
"lstrip": false,
|
152 |
+
"normalized": false,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": false
|
156 |
+
},
|
157 |
+
"151662": {
|
158 |
+
"content": "<|fim_pad|>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": false,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": false
|
164 |
+
},
|
165 |
+
"151663": {
|
166 |
+
"content": "<|repo_name|>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": false
|
172 |
+
},
|
173 |
+
"151664": {
|
174 |
+
"content": "<|file_sep|>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": false
|
180 |
+
}
|
181 |
+
},
|
182 |
+
"additional_special_tokens": [
|
183 |
+
"<|im_start|>",
|
184 |
+
"<|im_end|>",
|
185 |
+
"<|object_ref_start|>",
|
186 |
+
"<|object_ref_end|>",
|
187 |
+
"<|box_start|>",
|
188 |
+
"<|box_end|>",
|
189 |
+
"<|quad_start|>",
|
190 |
+
"<|quad_end|>",
|
191 |
+
"<|vision_start|>",
|
192 |
+
"<|vision_end|>",
|
193 |
+
"<|vision_pad|>",
|
194 |
+
"<|image_pad|>",
|
195 |
+
"<|video_pad|>"
|
196 |
+
],
|
197 |
+
"bos_token": null,
|
198 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
199 |
+
"clean_up_tokenization_spaces": false,
|
200 |
+
"eos_token": "<|im_end|>",
|
201 |
+
"errors": "replace",
|
202 |
+
"extra_special_tokens": {},
|
203 |
+
"model_max_length": 131072,
|
204 |
+
"pad_token": "<|endoftext|>",
|
205 |
+
"split_special_tokens": false,
|
206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
207 |
+
"unk_token": null
|
208 |
+
}
|
checkpoint-400/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-400/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:108253c2924ab960b742973fd9045c7f43b2d39e8229930aed15fd573ed1620a
|
3 |
+
size 5752
|