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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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- generated_from_trainer |
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datasets: |
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- generator |
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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 the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.1599 |
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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: 0.001 |
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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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- 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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 6.4743 | 0.2 | 30 | 5.0870 | |
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| 4.6204 | 0.4 | 60 | 4.1067 | |
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| 3.6208 | 0.6 | 90 | 3.3209 | |
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| 2.8321 | 0.79 | 120 | 3.0225 | |
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| 2.5107 | 0.99 | 150 | 2.7852 | |
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| 2.1614 | 1.19 | 180 | 2.7309 | |
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| 1.868 | 1.39 | 210 | 2.8328 | |
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| 1.7025 | 1.59 | 240 | 2.9077 | |
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| 1.4511 | 1.79 | 270 | 3.0556 | |
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| 1.1884 | 1.99 | 300 | 3.3297 | |
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| 1.0243 | 2.19 | 330 | 3.4177 | |
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| 0.9155 | 2.38 | 360 | 3.4031 | |
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| 0.7844 | 2.58 | 390 | 3.6728 | |
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| 0.688 | 2.78 | 420 | 4.0511 | |
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| 0.7049 | 2.98 | 450 | 4.1599 | |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 2.2.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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