---
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: codet5-small-ft-v7-iter-f
  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-v7-iter-f

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: 0.3579
- Rouge1: 65.1905
- Rouge2: 58.0093
- Rougel: 64.6754
- Rougelsum: 64.9444
- Gen Len: 12.7593

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 20   | 1.2614          | 53.6789 | 41.4991 | 53.6127 | 53.6281   | 11.9259 |
| No log        | 2.0   | 40   | 0.5435          | 53.3609 | 42.8943 | 50.5216 | 50.638    | 16.1852 |
| No log        | 3.0   | 60   | 0.3948          | 57.8859 | 48.6662 | 57.8364 | 57.7638   | 11.4815 |
| No log        | 4.0   | 80   | 0.3579          | 65.1905 | 58.0093 | 64.6754 | 64.9444   | 12.7593 |


### Framework versions

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