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--- |
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license: apache-2.0 |
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base_model: distilgpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilgpt2-finetuned-general-stories |
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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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# distilgpt2-finetuned-general-stories |
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.0063 |
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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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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| 5.7415 | 1.0 | 2940 | 5.4942 | |
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| 5.1216 | 2.0 | 5880 | 4.9520 | |
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| 4.7464 | 3.0 | 8820 | 4.6264 | |
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| 4.5081 | 4.0 | 11760 | 4.4148 | |
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| 4.3457 | 5.0 | 14700 | 4.2677 | |
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| 4.2207 | 6.0 | 17640 | 4.1709 | |
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| 4.1182 | 7.0 | 20580 | 4.0961 | |
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| 4.0599 | 8.0 | 23520 | 4.0473 | |
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| 4.0235 | 9.0 | 26460 | 4.0176 | |
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| 3.9931 | 10.0 | 29400 | 4.0063 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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