---
library_name: transformers
base_model: BienKieu/codeT5Plus_Contrastive
tags:
- generated_from_trainer
model-index:
- name: codeT5Plus_Contrastive_SI
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# codeT5Plus_Contrastive_SI

This model is a fine-tuned version of [BienKieu/codeT5Plus_Contrastive](https://huggingface.co/BienKieu/codeT5Plus_Contrastive) 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: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Use 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: 4
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2