---
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: codet5-small-v1
  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-v1

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: 0.3476
- Rouge1: 72.8353
- Rouge2: 55.3177
- Rougel: 68.1464
- Rougelsum: 67.5838
- Gen Len: 13.4595

## Model description

fine-tuned on this dataset - chathuranga-jayanath/context-5-predict-token-for-fine-tune. 
executed for 4 epochs. 

## 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   | 1.6944          | 60.3962 | 43.2915 | 57.1491 | 57.0619   | 13.4595 |
| No log        | 2.0   | 40   | 0.8389          | 77.3091 | 66.2349 | 74.0686 | 74.0976   | 13.7027 |
| No log        | 3.0   | 60   | 0.4161          | 74.7004 | 60.1588 | 70.1567 | 70.0012   | 13.3514 |
| No log        | 4.0   | 80   | 0.3476          | 72.8353 | 55.3177 | 68.1464 | 67.5838   | 13.4595 |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1