c1
Browse files- config.json +70 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +20 -0
- trainer_state.json +621 -0
- training_args.bin +3 -0
- vocab.json +0 -0
config.json
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "gpt2",
|
| 3 |
+
"activation_function": "leaky_relu",
|
| 4 |
+
"architectures": [
|
| 5 |
+
"GPT2LMHeadModel"
|
| 6 |
+
],
|
| 7 |
+
"attn_block_resid_gain": 1,
|
| 8 |
+
"attn_block_skip_gain": 1,
|
| 9 |
+
"attn_mat_resid_gain": 1,
|
| 10 |
+
"attn_mat_skip_gain": 0,
|
| 11 |
+
"attn_pdrop": 0,
|
| 12 |
+
"bos_token_id": 0,
|
| 13 |
+
"centre_attn": false,
|
| 14 |
+
"centre_attn_gain": 1.0,
|
| 15 |
+
"embd_pdrop": 0,
|
| 16 |
+
"eos_token_id": 0,
|
| 17 |
+
"first_layer_value_resid_gain": null,
|
| 18 |
+
"initializer_range": 0.02,
|
| 19 |
+
"key_init_std": null,
|
| 20 |
+
"last_layer_proj_resid_gain": null,
|
| 21 |
+
"layer_norm_epsilon": 1e-05,
|
| 22 |
+
"lrelu_neg_slope": 0,
|
| 23 |
+
"mlp_block_resid_gain": 1,
|
| 24 |
+
"mlp_block_skip_gain": 1,
|
| 25 |
+
"mlp_proj_init_std": false,
|
| 26 |
+
"model_type": "gpt2",
|
| 27 |
+
"n_ctx": 128,
|
| 28 |
+
"n_embd": 64,
|
| 29 |
+
"n_head": 2,
|
| 30 |
+
"n_inner": 256,
|
| 31 |
+
"n_layer": 2,
|
| 32 |
+
"n_positions": 1024,
|
| 33 |
+
"norm_position": "pre",
|
| 34 |
+
"norm_type": "rmsnorm",
|
| 35 |
+
"output_attentions": "false",
|
| 36 |
+
"parallel_layers": false,
|
| 37 |
+
"proj_init_type": "normal",
|
| 38 |
+
"proj_resid_gain": 1.0,
|
| 39 |
+
"proj_skip_gain": null,
|
| 40 |
+
"query_init_std": null,
|
| 41 |
+
"reorder_and_upcast_attn": false,
|
| 42 |
+
"resid_pdrop": 0,
|
| 43 |
+
"scale_attn_by_inverse_layer_idx": false,
|
| 44 |
+
"scale_attn_weights": true,
|
| 45 |
+
"summary_activation": null,
|
| 46 |
+
"summary_first_dropout": 0.1,
|
| 47 |
+
"summary_proj_to_labels": true,
|
| 48 |
+
"summary_type": "cls_index",
|
| 49 |
+
"summary_use_proj": true,
|
| 50 |
+
"task_specific_params": {
|
| 51 |
+
"text-generation": {
|
| 52 |
+
"do_sample": true,
|
| 53 |
+
"max_length": 50
|
| 54 |
+
}
|
| 55 |
+
},
|
| 56 |
+
"tie_valproj_init": null,
|
| 57 |
+
"torch_dtype": "float32",
|
| 58 |
+
"trainable_attn_block_gains": false,
|
| 59 |
+
"trainable_attn_mat_gains": false,
|
| 60 |
+
"trainable_mlp_block_gains": false,
|
| 61 |
+
"trainable_proj_gains": false,
|
| 62 |
+
"trainable_value_gains": false,
|
| 63 |
+
"transformers_version": "4.38.1",
|
| 64 |
+
"use_cache": true,
|
| 65 |
+
"val_init_type": "normal",
|
| 66 |
+
"val_proj_init_std": null,
|
| 67 |
+
"value_resid_gain": 1,
|
| 68 |
+
"value_skip_gain": 0,
|
| 69 |
+
"vocab_size": 50000
|
| 70 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 0,
|
| 4 |
+
"eos_token_id": 0,
|
| 5 |
+
"output_attentions": "false",
|
| 6 |
+
"transformers_version": "4.38.1"
|
| 7 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:608bea770c81bd5e6224b9ad26134276a4a0f38d41450f21145e3e44a40f9729
|
| 3 |
+
size 13466064
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6cf8800dc14655a643cfc2e4bacc6e9c0dbecb6844a5774e71f4b59fcc0ee8a8
|
| 3 |
+
size 26933218
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:43eb962b2fa61a9b7ec8ce064d6dfaf064d918004469195221d9385600f889fd
|
| 3 |
+
size 14244
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:21267c6c38ee64c10c7a237d210df3da03b92f6795c4a85d881e4ab95723b77f
|
| 3 |
+
size 1064
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|endoftext|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|endoftext|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "<|endoftext|>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<|endoftext|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
}
|
| 12 |
+
},
|
| 13 |
+
"bos_token": "<|endoftext|>",
|
| 14 |
+
"clean_up_tokenization_spaces": true,
|
| 15 |
+
"eos_token": "<|endoftext|>",
|
| 16 |
+
"model_max_length": 1024,
|
| 17 |
+
"pad_token": "<|endoftext|>",
|
| 18 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 19 |
+
"unk_token": "<|endoftext|>"
|
| 20 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,621 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9328575759695888,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 20000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.02,
|
| 13 |
+
"grad_norm": 0.3762490749359131,
|
| 14 |
+
"learning_rate": 0.00046641791044776124,
|
| 15 |
+
"loss": 8.4353,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.02,
|
| 20 |
+
"eval_loss": 6.534626483917236,
|
| 21 |
+
"eval_runtime": 213.0459,
|
| 22 |
+
"eval_samples_per_second": 264.877,
|
| 23 |
+
"eval_steps_per_second": 8.28,
|
| 24 |
+
"step": 500
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.05,
|
| 28 |
+
"grad_norm": 1.518302321434021,
|
| 29 |
+
"learning_rate": 0.0009328358208955225,
|
| 30 |
+
"loss": 5.5553,
|
| 31 |
+
"step": 1000
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.05,
|
| 35 |
+
"eval_loss": 4.976442813873291,
|
| 36 |
+
"eval_runtime": 215.6331,
|
| 37 |
+
"eval_samples_per_second": 261.699,
|
| 38 |
+
"eval_steps_per_second": 8.181,
|
| 39 |
+
"step": 1000
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.07,
|
| 43 |
+
"grad_norm": 1.8457584381103516,
|
| 44 |
+
"learning_rate": 0.0009789877154220063,
|
| 45 |
+
"loss": 4.5996,
|
| 46 |
+
"step": 1500
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 0.07,
|
| 50 |
+
"eval_loss": 4.408080101013184,
|
| 51 |
+
"eval_runtime": 215.4944,
|
| 52 |
+
"eval_samples_per_second": 261.868,
|
| 53 |
+
"eval_steps_per_second": 8.186,
|
| 54 |
+
"step": 1500
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 0.09,
|
| 58 |
+
"grad_norm": 1.3413056135177612,
|
| 59 |
+
"learning_rate": 0.0009544406539991162,
|
| 60 |
+
"loss": 4.1961,
|
| 61 |
+
"step": 2000
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"epoch": 0.09,
|
| 65 |
+
"eval_loss": 4.121068954467773,
|
| 66 |
+
"eval_runtime": 216.0979,
|
| 67 |
+
"eval_samples_per_second": 261.136,
|
| 68 |
+
"eval_steps_per_second": 8.163,
|
| 69 |
+
"step": 2000
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.12,
|
| 73 |
+
"grad_norm": 1.2387056350708008,
|
| 74 |
+
"learning_rate": 0.0009298935925762261,
|
| 75 |
+
"loss": 3.9584,
|
| 76 |
+
"step": 2500
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"epoch": 0.12,
|
| 80 |
+
"eval_loss": 3.929608106613159,
|
| 81 |
+
"eval_runtime": 216.438,
|
| 82 |
+
"eval_samples_per_second": 260.726,
|
| 83 |
+
"eval_steps_per_second": 8.15,
|
| 84 |
+
"step": 2500
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 0.14,
|
| 88 |
+
"grad_norm": 1.3727014064788818,
|
| 89 |
+
"learning_rate": 0.0009053465311533362,
|
| 90 |
+
"loss": 3.7833,
|
| 91 |
+
"step": 3000
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 0.14,
|
| 95 |
+
"eval_loss": 3.787693738937378,
|
| 96 |
+
"eval_runtime": 218.2815,
|
| 97 |
+
"eval_samples_per_second": 258.524,
|
| 98 |
+
"eval_steps_per_second": 8.081,
|
| 99 |
+
"step": 3000
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.16,
|
| 103 |
+
"grad_norm": 1.5133860111236572,
|
| 104 |
+
"learning_rate": 0.0008807994697304462,
|
| 105 |
+
"loss": 3.6616,
|
| 106 |
+
"step": 3500
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"epoch": 0.16,
|
| 110 |
+
"eval_loss": 3.683837652206421,
|
| 111 |
+
"eval_runtime": 217.4429,
|
| 112 |
+
"eval_samples_per_second": 259.521,
|
| 113 |
+
"eval_steps_per_second": 8.112,
|
| 114 |
+
"step": 3500
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.19,
|
| 118 |
+
"grad_norm": 1.3134872913360596,
|
| 119 |
+
"learning_rate": 0.0008562524083075562,
|
| 120 |
+
"loss": 3.5679,
|
| 121 |
+
"step": 4000
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.19,
|
| 125 |
+
"eval_loss": 3.6060750484466553,
|
| 126 |
+
"eval_runtime": 216.1087,
|
| 127 |
+
"eval_samples_per_second": 261.123,
|
| 128 |
+
"eval_steps_per_second": 8.163,
|
| 129 |
+
"step": 4000
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.21,
|
| 133 |
+
"grad_norm": 1.3464657068252563,
|
| 134 |
+
"learning_rate": 0.0008317053468846664,
|
| 135 |
+
"loss": 3.4964,
|
| 136 |
+
"step": 4500
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.21,
|
| 140 |
+
"eval_loss": 3.54757022857666,
|
| 141 |
+
"eval_runtime": 216.7125,
|
| 142 |
+
"eval_samples_per_second": 260.396,
|
| 143 |
+
"eval_steps_per_second": 8.14,
|
| 144 |
+
"step": 4500
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.23,
|
| 148 |
+
"grad_norm": 1.3200907707214355,
|
| 149 |
+
"learning_rate": 0.0008071582854617764,
|
| 150 |
+
"loss": 3.4488,
|
| 151 |
+
"step": 5000
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.23,
|
| 155 |
+
"eval_loss": 3.4986045360565186,
|
| 156 |
+
"eval_runtime": 217.9581,
|
| 157 |
+
"eval_samples_per_second": 258.908,
|
| 158 |
+
"eval_steps_per_second": 8.093,
|
| 159 |
+
"step": 5000
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.26,
|
| 163 |
+
"grad_norm": 1.514103651046753,
|
| 164 |
+
"learning_rate": 0.0007826112240388863,
|
| 165 |
+
"loss": 3.3973,
|
| 166 |
+
"step": 5500
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"epoch": 0.26,
|
| 170 |
+
"eval_loss": 3.4664642810821533,
|
| 171 |
+
"eval_runtime": 218.2073,
|
| 172 |
+
"eval_samples_per_second": 258.612,
|
| 173 |
+
"eval_steps_per_second": 8.084,
|
| 174 |
+
"step": 5500
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 0.28,
|
| 178 |
+
"grad_norm": 1.4389874935150146,
|
| 179 |
+
"learning_rate": 0.0007580641626159963,
|
| 180 |
+
"loss": 3.3587,
|
| 181 |
+
"step": 6000
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 0.28,
|
| 185 |
+
"eval_loss": 3.4231605529785156,
|
| 186 |
+
"eval_runtime": 218.4087,
|
| 187 |
+
"eval_samples_per_second": 258.373,
|
| 188 |
+
"eval_steps_per_second": 8.077,
|
| 189 |
+
"step": 6000
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.3,
|
| 193 |
+
"grad_norm": 1.4937726259231567,
|
| 194 |
+
"learning_rate": 0.0007335171011931065,
|
| 195 |
+
"loss": 3.3231,
|
| 196 |
+
"step": 6500
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"epoch": 0.3,
|
| 200 |
+
"eval_loss": 3.390798330307007,
|
| 201 |
+
"eval_runtime": 216.9327,
|
| 202 |
+
"eval_samples_per_second": 260.131,
|
| 203 |
+
"eval_steps_per_second": 8.132,
|
| 204 |
+
"step": 6500
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 0.33,
|
| 208 |
+
"grad_norm": 1.5942374467849731,
|
| 209 |
+
"learning_rate": 0.0007089700397702165,
|
| 210 |
+
"loss": 3.2971,
|
| 211 |
+
"step": 7000
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"epoch": 0.33,
|
| 215 |
+
"eval_loss": 3.361341714859009,
|
| 216 |
+
"eval_runtime": 217.461,
|
| 217 |
+
"eval_samples_per_second": 259.499,
|
| 218 |
+
"eval_steps_per_second": 8.112,
|
| 219 |
+
"step": 7000
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.35,
|
| 223 |
+
"grad_norm": 1.6310980319976807,
|
| 224 |
+
"learning_rate": 0.0006844229783473265,
|
| 225 |
+
"loss": 3.2679,
|
| 226 |
+
"step": 7500
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.35,
|
| 230 |
+
"eval_loss": 3.33766770362854,
|
| 231 |
+
"eval_runtime": 217.3952,
|
| 232 |
+
"eval_samples_per_second": 259.578,
|
| 233 |
+
"eval_steps_per_second": 8.114,
|
| 234 |
+
"step": 7500
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.37,
|
| 238 |
+
"grad_norm": 1.6001648902893066,
|
| 239 |
+
"learning_rate": 0.0006598759169244364,
|
| 240 |
+
"loss": 3.2436,
|
| 241 |
+
"step": 8000
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.37,
|
| 245 |
+
"eval_loss": 3.3167307376861572,
|
| 246 |
+
"eval_runtime": 217.5617,
|
| 247 |
+
"eval_samples_per_second": 259.379,
|
| 248 |
+
"eval_steps_per_second": 8.108,
|
| 249 |
+
"step": 8000
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.4,
|
| 253 |
+
"grad_norm": 1.590154767036438,
|
| 254 |
+
"learning_rate": 0.0006353288555015467,
|
| 255 |
+
"loss": 3.2322,
|
| 256 |
+
"step": 8500
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 0.4,
|
| 260 |
+
"eval_loss": 3.2952842712402344,
|
| 261 |
+
"eval_runtime": 217.0219,
|
| 262 |
+
"eval_samples_per_second": 260.024,
|
| 263 |
+
"eval_steps_per_second": 8.128,
|
| 264 |
+
"step": 8500
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 0.42,
|
| 268 |
+
"grad_norm": 1.7063907384872437,
|
| 269 |
+
"learning_rate": 0.0006107817940786566,
|
| 270 |
+
"loss": 3.208,
|
| 271 |
+
"step": 9000
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 0.42,
|
| 275 |
+
"eval_loss": 3.2771995067596436,
|
| 276 |
+
"eval_runtime": 218.9112,
|
| 277 |
+
"eval_samples_per_second": 257.78,
|
| 278 |
+
"eval_steps_per_second": 8.058,
|
| 279 |
+
"step": 9000
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.44,
|
| 283 |
+
"grad_norm": 1.544815182685852,
|
| 284 |
+
"learning_rate": 0.0005862347326557666,
|
| 285 |
+
"loss": 3.1923,
|
| 286 |
+
"step": 9500
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 0.44,
|
| 290 |
+
"eval_loss": 3.263777017593384,
|
| 291 |
+
"eval_runtime": 218.0114,
|
| 292 |
+
"eval_samples_per_second": 258.844,
|
| 293 |
+
"eval_steps_per_second": 8.091,
|
| 294 |
+
"step": 9500
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 0.47,
|
| 298 |
+
"grad_norm": 1.615902304649353,
|
| 299 |
+
"learning_rate": 0.0005616876712328766,
|
| 300 |
+
"loss": 3.1683,
|
| 301 |
+
"step": 10000
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"epoch": 0.47,
|
| 305 |
+
"eval_loss": 3.2488255500793457,
|
| 306 |
+
"eval_runtime": 217.5444,
|
| 307 |
+
"eval_samples_per_second": 259.4,
|
| 308 |
+
"eval_steps_per_second": 8.109,
|
| 309 |
+
"step": 10000
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 0.49,
|
| 313 |
+
"grad_norm": 1.533378005027771,
|
| 314 |
+
"learning_rate": 0.0005371897039328324,
|
| 315 |
+
"loss": 3.158,
|
| 316 |
+
"step": 10500
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 0.49,
|
| 320 |
+
"eval_loss": 3.2329940795898438,
|
| 321 |
+
"eval_runtime": 214.5885,
|
| 322 |
+
"eval_samples_per_second": 262.973,
|
| 323 |
+
"eval_steps_per_second": 8.22,
|
| 324 |
+
"step": 10500
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.51,
|
| 328 |
+
"grad_norm": 1.9465535879135132,
|
| 329 |
+
"learning_rate": 0.0005126426425099425,
|
| 330 |
+
"loss": 3.1439,
|
| 331 |
+
"step": 11000
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.51,
|
| 335 |
+
"eval_loss": 3.2245969772338867,
|
| 336 |
+
"eval_runtime": 216.8559,
|
| 337 |
+
"eval_samples_per_second": 260.224,
|
| 338 |
+
"eval_steps_per_second": 8.134,
|
| 339 |
+
"step": 11000
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.54,
|
| 343 |
+
"grad_norm": 1.7405271530151367,
|
| 344 |
+
"learning_rate": 0.0004880955810870526,
|
| 345 |
+
"loss": 3.1374,
|
| 346 |
+
"step": 11500
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.54,
|
| 350 |
+
"eval_loss": 3.208115339279175,
|
| 351 |
+
"eval_runtime": 217.1863,
|
| 352 |
+
"eval_samples_per_second": 259.828,
|
| 353 |
+
"eval_steps_per_second": 8.122,
|
| 354 |
+
"step": 11500
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 0.56,
|
| 358 |
+
"grad_norm": 1.6891497373580933,
|
| 359 |
+
"learning_rate": 0.0004635485196641626,
|
| 360 |
+
"loss": 3.1213,
|
| 361 |
+
"step": 12000
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 0.56,
|
| 365 |
+
"eval_loss": 3.200620651245117,
|
| 366 |
+
"eval_runtime": 218.4169,
|
| 367 |
+
"eval_samples_per_second": 258.364,
|
| 368 |
+
"eval_steps_per_second": 8.076,
|
| 369 |
+
"step": 12000
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 0.58,
|
| 373 |
+
"grad_norm": 1.73305082321167,
|
| 374 |
+
"learning_rate": 0.00043909964648696415,
|
| 375 |
+
"loss": 3.1144,
|
| 376 |
+
"step": 12500
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 0.58,
|
| 380 |
+
"eval_loss": 3.188239812850952,
|
| 381 |
+
"eval_runtime": 215.556,
|
| 382 |
+
"eval_samples_per_second": 261.793,
|
| 383 |
+
"eval_steps_per_second": 8.183,
|
| 384 |
+
"step": 12500
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 0.61,
|
| 388 |
+
"grad_norm": 1.7891405820846558,
|
| 389 |
+
"learning_rate": 0.0004145525850640742,
|
| 390 |
+
"loss": 3.0963,
|
| 391 |
+
"step": 13000
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 0.61,
|
| 395 |
+
"eval_loss": 3.174497365951538,
|
| 396 |
+
"eval_runtime": 214.2396,
|
| 397 |
+
"eval_samples_per_second": 263.401,
|
| 398 |
+
"eval_steps_per_second": 8.234,
|
| 399 |
+
"step": 13000
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 0.63,
|
| 403 |
+
"grad_norm": 1.6677337884902954,
|
| 404 |
+
"learning_rate": 0.00039000552364118425,
|
| 405 |
+
"loss": 3.097,
|
| 406 |
+
"step": 13500
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"epoch": 0.63,
|
| 410 |
+
"eval_loss": 3.165832042694092,
|
| 411 |
+
"eval_runtime": 214.1769,
|
| 412 |
+
"eval_samples_per_second": 263.479,
|
| 413 |
+
"eval_steps_per_second": 8.236,
|
| 414 |
+
"step": 13500
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 0.65,
|
| 418 |
+
"grad_norm": 1.7241294384002686,
|
| 419 |
+
"learning_rate": 0.00036545846221829433,
|
| 420 |
+
"loss": 3.076,
|
| 421 |
+
"step": 14000
|
| 422 |
+
},
|
| 423 |
+
{
|
| 424 |
+
"epoch": 0.65,
|
| 425 |
+
"eval_loss": 3.1584606170654297,
|
| 426 |
+
"eval_runtime": 264.545,
|
| 427 |
+
"eval_samples_per_second": 213.313,
|
| 428 |
+
"eval_steps_per_second": 6.668,
|
| 429 |
+
"step": 14000
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.68,
|
| 433 |
+
"grad_norm": 1.835271954536438,
|
| 434 |
+
"learning_rate": 0.00034091140079540435,
|
| 435 |
+
"loss": 3.0666,
|
| 436 |
+
"step": 14500
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.68,
|
| 440 |
+
"eval_loss": 3.151036262512207,
|
| 441 |
+
"eval_runtime": 218.4608,
|
| 442 |
+
"eval_samples_per_second": 258.312,
|
| 443 |
+
"eval_steps_per_second": 8.075,
|
| 444 |
+
"step": 14500
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.7,
|
| 448 |
+
"grad_norm": 1.7558091878890991,
|
| 449 |
+
"learning_rate": 0.00031636433937251427,
|
| 450 |
+
"loss": 3.0709,
|
| 451 |
+
"step": 15000
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.7,
|
| 455 |
+
"eval_loss": 3.139883279800415,
|
| 456 |
+
"eval_runtime": 11111.1382,
|
| 457 |
+
"eval_samples_per_second": 5.079,
|
| 458 |
+
"eval_steps_per_second": 0.159,
|
| 459 |
+
"step": 15000
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.72,
|
| 463 |
+
"grad_norm": 1.6270012855529785,
|
| 464 |
+
"learning_rate": 0.00029186637207247017,
|
| 465 |
+
"loss": 3.0609,
|
| 466 |
+
"step": 15500
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 0.72,
|
| 470 |
+
"eval_loss": 3.1347908973693848,
|
| 471 |
+
"eval_runtime": 258.6315,
|
| 472 |
+
"eval_samples_per_second": 218.191,
|
| 473 |
+
"eval_steps_per_second": 6.821,
|
| 474 |
+
"step": 15500
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 0.75,
|
| 478 |
+
"grad_norm": 1.971229910850525,
|
| 479 |
+
"learning_rate": 0.0002673193106495802,
|
| 480 |
+
"loss": 3.0527,
|
| 481 |
+
"step": 16000
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 0.75,
|
| 485 |
+
"eval_loss": 3.127486228942871,
|
| 486 |
+
"eval_runtime": 243.3689,
|
| 487 |
+
"eval_samples_per_second": 231.874,
|
| 488 |
+
"eval_steps_per_second": 7.248,
|
| 489 |
+
"step": 16000
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 0.77,
|
| 493 |
+
"grad_norm": 1.7010846138000488,
|
| 494 |
+
"learning_rate": 0.00024277224922669027,
|
| 495 |
+
"loss": 3.0449,
|
| 496 |
+
"step": 16500
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 0.77,
|
| 500 |
+
"eval_loss": 3.122706890106201,
|
| 501 |
+
"eval_runtime": 259.8928,
|
| 502 |
+
"eval_samples_per_second": 217.132,
|
| 503 |
+
"eval_steps_per_second": 6.787,
|
| 504 |
+
"step": 16500
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 0.79,
|
| 508 |
+
"grad_norm": 2.0105388164520264,
|
| 509 |
+
"learning_rate": 0.00021822518780380032,
|
| 510 |
+
"loss": 3.0407,
|
| 511 |
+
"step": 17000
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 0.79,
|
| 515 |
+
"eval_loss": 3.1165504455566406,
|
| 516 |
+
"eval_runtime": 264.3004,
|
| 517 |
+
"eval_samples_per_second": 213.511,
|
| 518 |
+
"eval_steps_per_second": 6.674,
|
| 519 |
+
"step": 17000
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 0.82,
|
| 523 |
+
"grad_norm": 1.7834789752960205,
|
| 524 |
+
"learning_rate": 0.00019372722050375605,
|
| 525 |
+
"loss": 3.0376,
|
| 526 |
+
"step": 17500
|
| 527 |
+
},
|
| 528 |
+
{
|
| 529 |
+
"epoch": 0.82,
|
| 530 |
+
"eval_loss": 3.10659122467041,
|
| 531 |
+
"eval_runtime": 265.7435,
|
| 532 |
+
"eval_samples_per_second": 212.351,
|
| 533 |
+
"eval_steps_per_second": 6.638,
|
| 534 |
+
"step": 17500
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.84,
|
| 538 |
+
"grad_norm": 1.8829165697097778,
|
| 539 |
+
"learning_rate": 0.0001691801590808661,
|
| 540 |
+
"loss": 3.0251,
|
| 541 |
+
"step": 18000
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.84,
|
| 545 |
+
"eval_loss": 3.1006741523742676,
|
| 546 |
+
"eval_runtime": 267.8646,
|
| 547 |
+
"eval_samples_per_second": 210.67,
|
| 548 |
+
"eval_steps_per_second": 6.585,
|
| 549 |
+
"step": 18000
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.86,
|
| 553 |
+
"grad_norm": 1.7196826934814453,
|
| 554 |
+
"learning_rate": 0.00014463309765797616,
|
| 555 |
+
"loss": 3.0226,
|
| 556 |
+
"step": 18500
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.86,
|
| 560 |
+
"eval_loss": 3.0954883098602295,
|
| 561 |
+
"eval_runtime": 263.6733,
|
| 562 |
+
"eval_samples_per_second": 214.019,
|
| 563 |
+
"eval_steps_per_second": 6.69,
|
| 564 |
+
"step": 18500
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.89,
|
| 568 |
+
"grad_norm": 1.7544931173324585,
|
| 569 |
+
"learning_rate": 0.00012008603623508621,
|
| 570 |
+
"loss": 3.0203,
|
| 571 |
+
"step": 19000
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 0.89,
|
| 575 |
+
"eval_loss": 3.0885541439056396,
|
| 576 |
+
"eval_runtime": 225.0692,
|
| 577 |
+
"eval_samples_per_second": 250.727,
|
| 578 |
+
"eval_steps_per_second": 7.838,
|
| 579 |
+
"step": 19000
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 0.91,
|
| 583 |
+
"grad_norm": 1.659536361694336,
|
| 584 |
+
"learning_rate": 9.558806893504194e-05,
|
| 585 |
+
"loss": 3.0151,
|
| 586 |
+
"step": 19500
|
| 587 |
+
},
|
| 588 |
+
{
|
| 589 |
+
"epoch": 0.91,
|
| 590 |
+
"eval_loss": 3.083906888961792,
|
| 591 |
+
"eval_runtime": 257.4684,
|
| 592 |
+
"eval_samples_per_second": 219.176,
|
| 593 |
+
"eval_steps_per_second": 6.851,
|
| 594 |
+
"step": 19500
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 0.93,
|
| 598 |
+
"grad_norm": 1.6146643161773682,
|
| 599 |
+
"learning_rate": 7.1041007512152e-05,
|
| 600 |
+
"loss": 3.0018,
|
| 601 |
+
"step": 20000
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 0.93,
|
| 605 |
+
"eval_loss": 3.0793216228485107,
|
| 606 |
+
"eval_runtime": 231.3706,
|
| 607 |
+
"eval_samples_per_second": 243.899,
|
| 608 |
+
"eval_steps_per_second": 7.624,
|
| 609 |
+
"step": 20000
|
| 610 |
+
}
|
| 611 |
+
],
|
| 612 |
+
"logging_steps": 500,
|
| 613 |
+
"max_steps": 21439,
|
| 614 |
+
"num_input_tokens_seen": 0,
|
| 615 |
+
"num_train_epochs": 1,
|
| 616 |
+
"save_steps": 10000,
|
| 617 |
+
"total_flos": 196340613120000.0,
|
| 618 |
+
"train_batch_size": 32,
|
| 619 |
+
"trial_name": null,
|
| 620 |
+
"trial_params": null
|
| 621 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ae9dc222d2227f30cec9c8484803d399f8365d5004a9b4b91cd06f6a6c80aa17
|
| 3 |
+
size 4920
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|