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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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- code-completion |
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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: 1.9622 |
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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: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 1024 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 6.5115 | 0.15 | 200 | 4.8032 | |
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| 4.3012 | 0.3 | 400 | 3.6027 | |
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| 3.3162 | 0.45 | 600 | 2.8147 | |
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| 2.742 | 0.6 | 800 | 2.4321 | |
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| 2.4234 | 0.75 | 1000 | 2.2029 | |
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| 2.1911 | 0.9 | 1200 | 1.9622 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.1.0a0+29c30b1 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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