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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: codeparrot-ds |
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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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# codeparrot-ds |
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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: 1.0622 |
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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: 0.0005 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 256 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 1 |
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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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| 2.5464 | 0.0766 | 5000 | 1.7422 | |
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| 1.6693 | 0.1533 | 10000 | 1.5249 | |
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| 1.5226 | 0.2299 | 15000 | 1.4230 | |
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| 1.4443 | 0.3065 | 20000 | 1.3569 | |
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| 1.3849 | 0.3832 | 25000 | 1.3056 | |
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| 1.334 | 0.4598 | 30000 | 1.2584 | |
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| 1.2885 | 0.5365 | 35000 | 1.2159 | |
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| 1.2425 | 0.6131 | 40000 | 1.1714 | |
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| 1.2019 | 0.6897 | 45000 | 1.1335 | |
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| 1.1642 | 0.7664 | 50000 | 1.1014 | |
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| 1.1373 | 0.8430 | 55000 | 1.0771 | |
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| 1.1162 | 0.9196 | 60000 | 1.0651 | |
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| 1.1087 | 0.9963 | 65000 | 1.0622 | |
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### Framework versions |
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- Transformers 4.55.2 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
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