---
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: codet5-small-ft-v4
  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-small-ft-v4

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: 0.4863
- Rouge1: 63.4219
- Rouge2: 52.7146
- Rougel: 62.9897
- Rougelsum: 62.9844
- Gen Len: 17.0139

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.6991        | 1.0   | 3063  | 0.5867          | 61.4049 | 50.9933 | 60.9107 | 60.9129   | 17.1624 |
| 0.6145        | 2.0   | 6126  | 0.5189          | 62.4441 | 51.6001 | 62.0291 | 62.02     | 16.9374 |
| 0.5615        | 3.0   | 9189  | 0.4973          | 63.3391 | 52.7352 | 62.9065 | 62.9124   | 17.1099 |
| 0.5491        | 4.0   | 12252 | 0.4863          | 63.4219 | 52.7146 | 62.9897 | 62.9844   | 17.0139 |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0