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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
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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: 1.0616
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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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| 2.5686 | 0.08 | 5000 | 1.7434 |
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| 1.6823 | 0.15 | 10000 | 1.5212 |
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| 1.5348 | 0.23 | 15000 | 1.4221 |
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| 1.4546 | 0.31 | 20000 | 1.3565 |
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| 1.3952 | 0.38 | 25000 | 1.3059 |
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| 1.344 | 0.46 | 30000 | 1.2581 |
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| 1.2978 | 0.54 | 35000 | 1.2138 |
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| 1.2525 | 0.61 | 40000 | 1.1716 |
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| 1.2109 | 0.69 | 45000 | 1.1324 |
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| 1.1737 | 0.77 | 50000 | 1.0998 |
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| 1.1441 | 0.84 | 55000 | 1.0769 |
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| 1.1234 | 0.92 | 60000 | 1.0644 |
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| 1.1155 | 1.0 | 65000 | 1.0616 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 1.7.1
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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