---
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: codet5-small-generate-docstrings-codexglue-python-bs-32
  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-generate-docstrings-codexglue-python-bs-32

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: 2.0595
- Rouge1: 0.3535
- Rouge2: 0.1748
- Rougel: 0.3195
- Rougelsum: 0.336
- Gen Len: 16.1317

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.6758        | 1.0   | 5952  | 2.2761          | 0.3458 | 0.1674 | 0.312  | 0.329     | 16.375  |
| 2.4212        | 2.0   | 11904 | 2.1955          | 0.3471 | 0.1698 | 0.3143 | 0.33      | 15.3815 |
| 2.3395        | 3.0   | 17856 | 2.1480          | 0.3501 | 0.1715 | 0.3159 | 0.3329    | 16.4806 |
| 2.2889        | 4.0   | 23808 | 2.1198          | 0.3506 | 0.1722 | 0.3167 | 0.3333    | 15.974  |
| 2.252         | 5.0   | 29760 | 2.0984          | 0.3524 | 0.1738 | 0.3184 | 0.3351    | 16.2197 |
| 2.226         | 6.0   | 35712 | 2.0851          | 0.3518 | 0.1736 | 0.3182 | 0.3345    | 15.9882 |
| 2.2047        | 7.0   | 41664 | 2.0746          | 0.3521 | 0.1738 | 0.3185 | 0.3348    | 16.2078 |
| 2.1894        | 8.0   | 47616 | 2.0654          | 0.3532 | 0.1748 | 0.3194 | 0.3357    | 16.1077 |
| 2.1798        | 9.0   | 53568 | 2.0617          | 0.3528 | 0.1749 | 0.3192 | 0.3355    | 16.0418 |
| 2.1732        | 10.0  | 59520 | 2.0595          | 0.3535 | 0.1748 | 0.3195 | 0.336     | 16.1317 |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4.dev0
- Tokenizers 0.13.3