---
library_name: transformers
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
- code-fixing
- bug-detection
- t5
- code-repair
- python
- syntax-fix
- ai-debugger
model-index:
- name: t5-model
  results: []
datasets:
- codeparrot/github-code
- codeparrot/github-code-clean
- bigcode/the-stack
language:
- th
- en
metrics:
- accuracy
- bleu
pipeline_tag: text2text-generation
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# t5-model

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results



### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1