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--- |
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library_name: transformers |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: gpt2-wikitext2 |
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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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# gpt2-wikitext2 |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4411 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 30 |
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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 | 136 | 2.6125 | |
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| No log | 2.0 | 272 | 2.3027 | |
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| No log | 3.0 | 408 | 2.1283 | |
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| 2.7351 | 4.0 | 544 | 1.9970 | |
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| 2.7351 | 5.0 | 680 | 1.8977 | |
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| 2.7351 | 6.0 | 816 | 1.8174 | |
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| 2.7351 | 7.0 | 952 | 1.7532 | |
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| 1.9296 | 8.0 | 1088 | 1.6992 | |
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| 1.9296 | 9.0 | 1224 | 1.6594 | |
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| 1.9296 | 10.0 | 1360 | 1.6301 | |
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| 1.9296 | 11.0 | 1496 | 1.5985 | |
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| 1.6853 | 12.0 | 1632 | 1.5784 | |
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| 1.6853 | 13.0 | 1768 | 1.5560 | |
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| 1.6853 | 14.0 | 1904 | 1.5433 | |
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| 1.5639 | 15.0 | 2040 | 1.5262 | |
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| 1.5639 | 16.0 | 2176 | 1.5109 | |
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| 1.5639 | 17.0 | 2312 | 1.5018 | |
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| 1.5639 | 18.0 | 2448 | 1.4957 | |
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| 1.4932 | 19.0 | 2584 | 1.4823 | |
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| 1.4932 | 20.0 | 2720 | 1.4741 | |
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| 1.4932 | 21.0 | 2856 | 1.4681 | |
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| 1.4932 | 22.0 | 2992 | 1.4618 | |
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| 1.448 | 23.0 | 3128 | 1.4559 | |
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| 1.448 | 24.0 | 3264 | 1.4543 | |
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| 1.448 | 25.0 | 3400 | 1.4487 | |
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| 1.4177 | 26.0 | 3536 | 1.4463 | |
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| 1.4177 | 27.0 | 3672 | 1.4435 | |
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| 1.4177 | 28.0 | 3808 | 1.4429 | |
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| 1.4177 | 29.0 | 3944 | 1.4424 | |
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| 1.4044 | 30.0 | 4080 | 1.4411 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.1 |
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