---
license: bsd-3-clause
base_model: Salesforce/codet5p-220m-py
tags:
- generated_from_trainer
model-index:
- name: codet5-fine-tuned
  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. -->

# codet5-fine-tuned

This model is a fine-tuned version of [Salesforce/codet5p-220m-py](https://huggingface.co/Salesforce/codet5p-220m-py) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1842

## 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: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.99  | 56   | 0.1820          |
| 0.1837        | 1.99  | 113  | 0.1764          |
| 0.1837        | 3.0   | 170  | 0.1779          |
| 0.1221        | 4.0   | 227  | 0.1794          |
| 0.1221        | 4.93  | 280  | 0.1842          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.15.2