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--- |
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license: mit |
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base_model: gpt2 |
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tags: |
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- text-generation |
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- generated_from_trainer |
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model-index: |
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- name: gpt2-small-finetuned-codeparrot-ds_nlp-course-chapter7-section5 |
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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-small-finetuned-codeparrot-ds_nlp-course-chapter7-section5 |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0606 |
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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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| 2.5691 | 0.08 | 5000 | 1.7463 | |
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| 1.6818 | 0.15 | 10000 | 1.5248 | |
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| 1.5328 | 0.23 | 15000 | 1.4226 | |
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| 1.4521 | 0.31 | 20000 | 1.3569 | |
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| 1.3944 | 0.38 | 25000 | 1.3030 | |
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| 1.3422 | 0.46 | 30000 | 1.2558 | |
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| 1.2976 | 0.54 | 35000 | 1.2129 | |
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| 1.2514 | 0.61 | 40000 | 1.1714 | |
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| 1.2089 | 0.69 | 45000 | 1.1321 | |
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| 1.1737 | 0.77 | 50000 | 1.0990 | |
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| 1.1427 | 0.84 | 55000 | 1.0758 | |
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| 1.1242 | 0.92 | 60000 | 1.0636 | |
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| 1.1142 | 1.0 | 65000 | 1.0606 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 1.11.0+cu102 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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