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--- |
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license: mit |
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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-sample-gpt-small-10epoch |
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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-sample-gpt-small-10epoch |
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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: 2.0943 |
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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: 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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| 4.29 | 0.94 | 1000 | 2.8452 | |
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| 2.3155 | 1.88 | 2000 | 2.3659 | |
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| 1.8817 | 2.82 | 3000 | 2.2085 | |
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| 1.6245 | 3.77 | 4000 | 2.1260 | |
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| 1.4314 | 4.71 | 5000 | 2.0705 | |
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| 1.2698 | 5.65 | 6000 | 2.0603 | |
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| 1.1281 | 6.59 | 7000 | 2.0599 | |
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| 1.0108 | 7.53 | 8000 | 2.0769 | |
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| 0.9167 | 8.47 | 9000 | 2.0870 | |
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| 0.8551 | 9.42 | 10000 | 2.0943 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.0.0 |
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- Tokenizers 0.11.6 |
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