---
license: afl-3.0
tags:
- generated_from_trainer
datasets:
- code_search_net
model-index:
- name: pycodegpt_trainer
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# pycodegpt_trainer

This model is a fine-tuned version of [Daoguang/PyCodeGPT](https://huggingface.co/Daoguang/PyCodeGPT) 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 50

### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3