---
library_name: transformers
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4923

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

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.8427        | 0.0719 | 10   | 1.2732          |
| 1.161         | 0.1439 | 20   | 0.8768          |
| 1.0161        | 0.2158 | 30   | 0.8193          |
| 0.9054        | 0.2878 | 40   | 0.7536          |
| 0.8195        | 0.3597 | 50   | 0.7090          |
| 0.9785        | 0.4317 | 60   | 0.6815          |
| 0.8085        | 0.5036 | 70   | 0.6641          |
| 0.8913        | 0.5755 | 80   | 0.6521          |
| 0.6526        | 0.6475 | 90   | 0.6326          |
| 0.6447        | 0.7194 | 100  | 0.6177          |
| 0.6836        | 0.7914 | 110  | 0.6067          |
| 0.7824        | 0.8633 | 120  | 0.5950          |
| 0.5367        | 0.9353 | 130  | 0.5840          |
| 0.7856        | 1.0072 | 140  | 0.5763          |
| 0.6118        | 1.0791 | 150  | 0.5712          |
| 0.7442        | 1.1511 | 160  | 0.5639          |
| 0.5305        | 1.2230 | 170  | 0.5587          |
| 0.6777        | 1.2950 | 180  | 0.5507          |
| 0.5568        | 1.3669 | 190  | 0.5469          |
| 0.7629        | 1.4388 | 200  | 0.5446          |
| 0.5966        | 1.5108 | 210  | 0.5385          |
| 0.7105        | 1.5827 | 220  | 0.5335          |
| 0.7294        | 1.6547 | 230  | 0.5281          |
| 0.6798        | 1.7266 | 240  | 0.5233          |
| 0.55          | 1.7986 | 250  | 0.5189          |
| 0.6927        | 1.8705 | 260  | 0.5155          |
| 0.4219        | 1.9424 | 270  | 0.5123          |
| 0.6465        | 2.0144 | 280  | 0.5106          |
| 0.5013        | 2.0863 | 290  | 0.5093          |
| 0.6224        | 2.1583 | 300  | 0.5056          |
| 0.5155        | 2.2302 | 310  | 0.5040          |
| 0.4718        | 2.3022 | 320  | 0.5006          |
| 0.7149        | 2.3741 | 330  | 0.4984          |
| 0.5848        | 2.4460 | 340  | 0.4974          |
| 0.6697        | 2.5180 | 350  | 0.4959          |
| 0.438         | 2.5899 | 360  | 0.4958          |
| 0.7051        | 2.6619 | 370  | 0.4952          |
| 0.5555        | 2.7338 | 380  | 0.4941          |
| 0.6686        | 2.8058 | 390  | 0.4934          |
| 0.6081        | 2.8777 | 400  | 0.4928          |
| 0.5672        | 2.9496 | 410  | 0.4924          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1