---
library_name: transformers
license: apache-2.0
base_model: Salesforce/codet5-base
tags:
- generated_from_trainer
model-index:
- name: java-to-python-assistant
  results: []
---

<!-- 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. -->

# java-to-python-assistant

This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- 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: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1106        | 1.0   | 563  | 0.0000          |
| 0.001         | 2.0   | 1126 | 0.0000          |
| 0.0011        | 3.0   | 1689 | 0.0000          |
| 0.0002        | 4.0   | 2252 | 0.0000          |
| 0.0001        | 5.0   | 2815 | 0.0000          |
| 0.0001        | 6.0   | 3378 | 0.0000          |
| 0.0001        | 7.0   | 3941 | 0.0000          |
| 0.0           | 8.0   | 4504 | 0.0000          |
| 0.0005        | 9.0   | 5067 | 0.0000          |
| 0.0           | 10.0  | 5630 | 0.0000          |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.2
- Tokenizers 0.22.1