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Model save

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Files changed (5) hide show
  1. README.md +22 -26
  2. all_results.json +8 -8
  3. eval_results.json +4 -4
  4. train_results.json +4 -4
  5. trainer_state.json +141 -141
README.md CHANGED
@@ -2,13 +2,9 @@
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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
@@ -20,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # Yi-6B-ruozhiba
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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 ruozhiba dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.2495
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  ## Model description
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@@ -54,26 +50,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.644 | 1.0 | 55 | 2.2811 |
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- | 1.9483 | 2.0 | 110 | 1.9384 |
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- | 1.7791 | 3.0 | 165 | 1.9109 |
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- | 1.6053 | 4.0 | 220 | 1.9560 |
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- | 1.3206 | 5.0 | 275 | 2.1674 |
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- | 0.9722 | 6.0 | 330 | 2.4236 |
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- | 0.7026 | 7.0 | 385 | 2.6935 |
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- | 0.4776 | 8.0 | 440 | 3.0005 |
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- | 0.3163 | 9.0 | 495 | 3.2703 |
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- | 0.2355 | 10.0 | 550 | 3.4524 |
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- | 0.1489 | 11.0 | 605 | 3.6805 |
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- | 0.1179 | 12.0 | 660 | 3.7960 |
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- | 0.0712 | 13.0 | 715 | 3.9715 |
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- | 0.0782 | 14.0 | 770 | 4.0284 |
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- | 0.0691 | 15.0 | 825 | 4.1576 |
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- | 0.0486 | 16.0 | 880 | 4.1690 |
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- | 0.0639 | 17.0 | 935 | 4.2094 |
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- | 0.0589 | 18.0 | 990 | 4.2436 |
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- | 0.042 | 19.0 | 1045 | 4.2491 |
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- | 0.0405 | 20.0 | 1100 | 4.2495 |
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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
 
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  # Yi-6B-ruozhiba
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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: 4.2052
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.7672 | 1.0 | 55 | 2.3123 |
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+ | 2.0304 | 2.0 | 110 | 1.9674 |
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+ | 1.7981 | 3.0 | 165 | 1.9422 |
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+ | 1.5825 | 4.0 | 220 | 2.0125 |
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+ | 1.2811 | 5.0 | 275 | 2.2657 |
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+ | 0.928 | 6.0 | 330 | 2.5271 |
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+ | 0.6688 | 7.0 | 385 | 2.7800 |
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+ | 0.4595 | 8.0 | 440 | 3.1072 |
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+ | 0.3117 | 9.0 | 495 | 3.3261 |
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+ | 0.242 | 10.0 | 550 | 3.5036 |
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+ | 0.1718 | 11.0 | 605 | 3.6742 |
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+ | 0.157 | 12.0 | 660 | 3.7895 |
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+ | 0.1188 | 13.0 | 715 | 3.9184 |
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+ | 0.1296 | 14.0 | 770 | 3.9965 |
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+ | 0.1219 | 15.0 | 825 | 4.1147 |
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+ | 0.1 | 16.0 | 880 | 4.1376 |
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+ | 0.1155 | 17.0 | 935 | 4.1758 |
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+ | 0.1083 | 18.0 | 990 | 4.2016 |
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+ | 0.0961 | 19.0 | 1045 | 4.2047 |
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+ | 0.0917 | 20.0 | 1100 | 4.2052 |
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  ### Framework versions
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