---
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: codet5-small-ft-v5
  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-v5

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: 2.2463
- Rouge1: 65.8333
- Rouge2: 56.2963
- Rougel: 65.6481
- Rougelsum: 65.5556
- Gen Len: 12.3333

## 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   | 8    | 3.3878          | 36.9391 | 29.7138 | 36.367  | 36.2452   | 16.5278 |
| No log        | 2.0   | 16   | 2.6133          | 61.7593 | 52.7981 | 61.8981 | 61.3889   | 12.1111 |
| No log        | 3.0   | 24   | 2.3167          | 61.0185 | 51.7328 | 61.0185 | 60.5556   | 11.8611 |
| No log        | 4.0   | 32   | 2.2463          | 65.8333 | 56.2963 | 65.6481 | 65.5556   | 12.3333 |


### Framework versions

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