---
library_name: transformers
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- generated_from_trainer
model-index:
- name: code-assistant-py-java2
  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. -->

# code-assistant-py-java2

This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2914

## 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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9758        | 1.0   | 41   | 0.6294          |
| 0.5964        | 2.0   | 82   | 0.4193          |
| 0.4172        | 3.0   | 123  | 0.3718          |
| 0.4899        | 4.0   | 164  | 0.3431          |
| 0.3984        | 5.0   | 205  | 0.3274          |
| 0.2469        | 6.0   | 246  | 0.3141          |
| 0.2722        | 7.0   | 287  | 0.3135          |
| 0.3021        | 8.0   | 328  | 0.3052          |
| 0.203         | 9.0   | 369  | 0.3035          |
| 0.1948        | 10.0  | 410  | 0.3049          |
| 0.1843        | 11.0  | 451  | 0.2965          |
| 0.1489        | 12.0  | 492  | 0.2889          |
| 0.1279        | 13.0  | 533  | 0.2921          |
| 0.1923        | 14.0  | 574  | 0.2919          |
| 0.1829        | 15.0  | 615  | 0.2914          |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1