Model save
Browse files- README.md +11 -25
- all_results.json +9 -9
- eval_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +339 -1383
README.md
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license: other
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library_name: peft
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tags:
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- alignment-handbook
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- generated_from_trainer
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- ruozhiba
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base_model: 01-ai/Yi-6B
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model-index:
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- name: Yi-6B-ruozhiba-5e-4-50
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@@ -20,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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# Yi-6B-ruozhiba-5e-4-50
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This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| 0.0404 | 10.0 | 550 | 3.3666 |
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| 0.038 | 11.0 | 605 | 3.3349 |
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| 0.0374 | 12.0 | 660 | 3.4456 |
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| 0.0384 | 13.0 | 715 | 3.4822 |
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| 0.0408 | 14.0 | 770 | 3.4718 |
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| 0.0347 | 15.0 | 825 | 3.5028 |
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| 0.0377 | 16.0 | 880 | 3.5218 |
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| 0.0395 | 17.0 | 935 | 3.5320 |
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| 0.0408 | 18.0 | 990 | 3.5371 |
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| 0.0468 | 19.0 | 1045 | 3.5391 |
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### Framework versions
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license: other
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library_name: peft
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tags:
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- trl
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- sft
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- generated_from_trainer
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base_model: 01-ai/Yi-6B
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model-index:
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- name: Yi-6B-ruozhiba-5e-4-50
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# Yi-6B-ruozhiba-5e-4-50
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This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4886
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.5916 | 2.0 | 110 | 2.0382 |
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| 0.9956 | 3.0 | 165 | 2.4359 |
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| 0.5198 | 4.0 | 220 | 2.9536 |
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| 0.2296 | 5.0 | 275 | 3.0199 |
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| 0.1444 | 6.0 | 330 | 3.2190 |
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| 0.1129 | 7.0 | 385 | 3.3571 |
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| 0.1048 | 8.0 | 440 | 3.4553 |
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| 0.1008 | 9.0 | 495 | 3.4835 |
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| 0.0938 | 10.0 | 550 | 3.4886 |
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### Framework versions
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all_results.json
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| 973 |
}
|
| 974 |
],
|
| 975 |
"logging_steps": 4,
|
|
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|
| 977 |
"num_input_tokens_seen": 0,
|
| 978 |
"num_train_epochs": 10,
|
| 979 |
"save_steps": 55,
|
| 980 |
+
"total_flos": 1.876652342808576e+16,
|
| 981 |
"train_batch_size": 4,
|
| 982 |
"trial_name": null,
|
| 983 |
"trial_params": null
|