---
library_name: peft
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- base_model:adapter:Salesforce/codet5-small
- lora
- transformers
metrics:
- rouge
model-index:
- name: codet5-python-summarizer-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-python-summarizer-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: 0.0161
- Rouge1: 0.9933
- Rouge2: 0.9923
- Rougel: 0.9933
- Rougelsum: 0.9934

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
| 0.0252        | 1.0   | 6117  | 0.0187          | 0.989  | 0.9879 | 0.9889 | 0.989     |
| 0.0203        | 2.0   | 12234 | 0.0173          | 0.9916 | 0.9906 | 0.9915 | 0.9916    |
| 0.0099        | 3.0   | 18351 | 0.0165          | 0.9924 | 0.9916 | 0.9924 | 0.9924    |
| 0.0065        | 4.0   | 24468 | 0.0182          | 0.9908 | 0.9901 | 0.9907 | 0.9908    |
| 0.0092        | 5.0   | 30585 | 0.0161          | 0.9933 | 0.9923 | 0.9933 | 0.9934    |


### Framework versions

- PEFT 0.18.1
- Transformers 4.44.2
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.19.1