Upload folder using huggingface_hub
Browse files- README.md +56 -1
- all_results.json +15 -0
- config.json +27 -0
- eval_results.json +10 -0
- generation_config.json +6 -0
- pytorch_model.bin +3 -0
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- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +40 -0
- train_results.json +8 -0
- trainer_state.json +1432 -0
- training_args.bin +3 -0
README.md
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---
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-
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---
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---
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base_model: t2
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: t2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# t2
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This model is a fine-tuned version of [t2](https://huggingface.co/t2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4588
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- Accuracy: 0.5827
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 32
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- num_epochs: 1.0
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### Training results
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.0
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all_results.json
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{
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"epoch": 1.0,
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"eval_accuracy": 0.5826860338488246,
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"eval_loss": 2.4588253498077393,
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"eval_runtime": 99.5735,
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"eval_samples": 1591,
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"eval_samples_per_second": 15.978,
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"eval_steps_per_second": 1.999,
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"perplexity": 11.691070552861609,
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"train_loss": 3.0363850155447283,
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"train_runtime": 3285.3275,
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"train_samples": 29961,
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"train_samples_per_second": 9.12,
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"train_steps_per_second": 0.071
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}
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config.json
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{
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"_name_or_path": "t2",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 3072,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 4,
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"num_hidden_layers": 4,
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"num_key_value_heads": 2,
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"pretraining_tp": 2,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.34.0.dev0",
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"use_cache": true,
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"vocab_size": 32000
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}
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eval_results.json
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{
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"eval_accuracy": 0.5826860338488246,
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"eval_loss": 2.4588253498077393,
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"eval_runtime": 99.5735,
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"eval_samples": 1591,
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"eval_samples_per_second": 15.978,
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"eval_steps_per_second": 1.999,
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"perplexity": 11.691070552861609
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}
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generation_config.json
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tokenizer.json
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tokenizer.model
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tokenizer_config.json
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<unk>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<s>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
"additional_special_tokens": [],
|
| 29 |
+
"bos_token": "<s>",
|
| 30 |
+
"clean_up_tokenization_spaces": false,
|
| 31 |
+
"eos_token": "</s>",
|
| 32 |
+
"legacy": false,
|
| 33 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 34 |
+
"pad_token": null,
|
| 35 |
+
"padding_side": "right",
|
| 36 |
+
"sp_model_kwargs": {},
|
| 37 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 38 |
+
"unk_token": "<unk>",
|
| 39 |
+
"use_default_system_prompt": true
|
| 40 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
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|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"train_loss": 3.0363850155447283,
|
| 4 |
+
"train_runtime": 3285.3275,
|
| 5 |
+
"train_samples": 29961,
|
| 6 |
+
"train_samples_per_second": 9.12,
|
| 7 |
+
"train_steps_per_second": 0.071
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1432 @@
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"train_loss": 3.0363850155447283,
|
| 1420 |
+
"train_runtime": 3285.3275,
|
| 1421 |
+
"train_samples_per_second": 9.12,
|
| 1422 |
+
"train_steps_per_second": 0.071
|
| 1423 |
+
}
|
| 1424 |
+
],
|
| 1425 |
+
"logging_steps": 1.0,
|
| 1426 |
+
"max_steps": 234,
|
| 1427 |
+
"num_train_epochs": 1,
|
| 1428 |
+
"save_steps": 500,
|
| 1429 |
+
"total_flos": 2.668899657056256e+17,
|
| 1430 |
+
"trial_name": null,
|
| 1431 |
+
"trial_params": null
|
| 1432 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:70959df5755bcd7c9c5f5587e5048f1f5832835692406554e6abea33749eeedb
|
| 3 |
+
size 4027
|