---
library_name: transformers
license: mit
base_model: gpt2
tags:
- generated_from_trainer
datasets:
- code_search_net
model-index:
- name: python_codeparrot
  results: []
---

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# python_codeparrot

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the code_search_net dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.55.4
- Pytorch 2.8.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.4