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--- |
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base_model: uer/gpt2-chinese-cluecorpussmall |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: LCIA_Test3_gpt2_small |
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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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# LCIA_Test3_gpt2_small |
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This model is a fine-tuned version of [uer/gpt2-chinese-cluecorpussmall](https://huggingface.co/uer/gpt2-chinese-cluecorpussmall) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1054 |
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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: 2e-05 |
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- train_batch_size: 18 |
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- eval_batch_size: 18 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 40 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 21 | 0.7690 | |
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| No log | 2.0 | 42 | 0.6252 | |
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| No log | 3.0 | 63 | 0.4116 | |
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| No log | 4.0 | 84 | 0.1728 | |
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| No log | 5.0 | 105 | 0.1211 | |
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| No log | 6.0 | 126 | 0.1188 | |
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| No log | 7.0 | 147 | 0.1166 | |
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| No log | 8.0 | 168 | 0.1113 | |
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| No log | 9.0 | 189 | 0.1090 | |
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| No log | 10.0 | 210 | 0.1100 | |
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| No log | 11.0 | 231 | 0.1029 | |
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| No log | 12.0 | 252 | 0.1016 | |
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| No log | 13.0 | 273 | 0.0963 | |
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| No log | 14.0 | 294 | 0.0998 | |
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| No log | 15.0 | 315 | 0.0935 | |
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| No log | 16.0 | 336 | 0.0956 | |
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| No log | 17.0 | 357 | 0.0925 | |
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| No log | 18.0 | 378 | 0.0913 | |
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| No log | 19.0 | 399 | 0.0993 | |
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| No log | 20.0 | 420 | 0.0981 | |
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| No log | 21.0 | 441 | 0.0946 | |
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| No log | 22.0 | 462 | 0.1039 | |
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| No log | 23.0 | 483 | 0.0984 | |
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| 0.1655 | 24.0 | 504 | 0.0977 | |
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| 0.1655 | 25.0 | 525 | 0.1018 | |
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| 0.1655 | 26.0 | 546 | 0.1040 | |
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| 0.1655 | 27.0 | 567 | 0.0988 | |
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| 0.1655 | 28.0 | 588 | 0.1047 | |
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| 0.1655 | 29.0 | 609 | 0.1059 | |
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| 0.1655 | 30.0 | 630 | 0.1061 | |
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| 0.1655 | 31.0 | 651 | 0.1064 | |
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| 0.1655 | 32.0 | 672 | 0.1049 | |
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| 0.1655 | 33.0 | 693 | 0.1038 | |
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| 0.1655 | 34.0 | 714 | 0.1054 | |
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| 0.1655 | 35.0 | 735 | 0.1016 | |
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| 0.1655 | 36.0 | 756 | 0.1076 | |
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| 0.1655 | 37.0 | 777 | 0.1047 | |
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| 0.1655 | 38.0 | 798 | 0.1055 | |
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| 0.1655 | 39.0 | 819 | 0.1056 | |
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| 0.1655 | 40.0 | 840 | 0.1054 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Tokenizers 0.19.1 |
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