metadata

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

t5-model

This model is a fine-tuned version of 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