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README.md
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---
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library_name: transformers
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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: 1.0531
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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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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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| 2.5481 | 0.0766 | 5000 | 1.7253 |
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| 1.6683 | 0.1533 | 10000 | 1.5118 |
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| 1.5221 | 0.2299 | 15000 | 1.4112 |
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| 1.444 | 0.3065 | 20000 | 1.3444 |
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| 1.3844 | 0.3832 | 25000 | 1.2949 |
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| 1.3335 | 0.4598 | 30000 | 1.2463 |
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| 1.288 | 0.5365 | 35000 | 1.2043 |
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| 1.2418 | 0.6131 | 40000 | 1.1618 |
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| 1.201 | 0.6897 | 45000 | 1.1239 |
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| 1.1635 | 0.7664 | 50000 | 1.0908 |
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| 1.1366 | 0.8430 | 55000 | 1.0679 |
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| 1.1154 | 0.9196 | 60000 | 1.0559 |
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| 1.108 | 0.9963 | 65000 | 1.0531 |
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### Framework versions
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- Transformers 4.57.0
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- Pytorch 2.8.0+cu128
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- Datasets 4.2.0
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- Tokenizers 0.22.1
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