---
license: bsd-3-clause
base_model: Salesforce/codet5p-220m
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](https://huggingface.co/Salesforce/codet5p-220m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0916

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.99  | 56   | 0.0720          |
| 0.0898        | 1.99  | 113  | 0.0694          |
| 0.0898        | 3.0   | 170  | 0.0682          |
| 0.0509        | 4.0   | 227  | 0.0693          |
| 0.0509        | 4.99  | 283  | 0.0699          |
| 0.0384        | 5.99  | 340  | 0.0725          |
| 0.0384        | 7.0   | 397  | 0.0729          |
| 0.0295        | 8.0   | 454  | 0.0758          |
| 0.0224        | 8.99  | 510  | 0.0785          |
| 0.0224        | 9.99  | 567  | 0.0806          |
| 0.0177        | 11.0  | 624  | 0.0799          |
| 0.0177        | 12.0  | 681  | 0.0835          |
| 0.0136        | 12.99 | 737  | 0.0873          |
| 0.0136        | 13.99 | 794  | 0.0881          |
| 0.0116        | 15.0  | 851  | 0.0887          |
| 0.0095        | 16.0  | 908  | 0.0899          |
| 0.0095        | 16.99 | 964  | 0.0910          |
| 0.0082        | 17.99 | 1021 | 0.0916          |
| 0.0082        | 19.0  | 1078 | 0.0912          |
| 0.0072        | 19.74 | 1120 | 0.0916          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.15.2