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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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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: 1.0619 |
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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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| 2.5649 | 0.0766 | 5000 | 1.7395 | |
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| 1.6798 | 0.1533 | 10000 | 1.5223 | |
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| 1.5332 | 0.2299 | 15000 | 1.4212 | |
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| 1.4548 | 0.3065 | 20000 | 1.3561 | |
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| 1.3952 | 0.3832 | 25000 | 1.3058 | |
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| 1.344 | 0.4598 | 30000 | 1.2555 | |
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| 1.2982 | 0.5365 | 35000 | 1.2137 | |
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| 1.2519 | 0.6131 | 40000 | 1.1711 | |
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| 1.211 | 0.6897 | 45000 | 1.1336 | |
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| 1.1732 | 0.7664 | 50000 | 1.1004 | |
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| 1.146 | 0.8430 | 55000 | 1.0770 | |
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| 1.1245 | 0.9196 | 60000 | 1.0648 | |
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| 1.1172 | 0.9963 | 65000 | 1.0619 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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