---
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: codet5-small-v3
  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-v3

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: 0.1896
- Rouge1: 75.8334
- Rouge2: 66.86
- Rougel: 75.2774
- Rougelsum: 75.2871
- Gen Len: 17.1755

## Model description

Trained,
- dataset: chathuranga-jayanath/context-5-predict-token-for-fine-tune-without-comments-from-finmath
- epochs: 3
- metric: rouge

## 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.0947        | 1.0   | 9734  | 0.1817          | 75.816  | 66.5223 | 75.2217 | 75.2268   | 17.1902 |
| 0.0622        | 2.0   | 19468 | 0.1886          | 75.8598 | 66.7948 | 75.3022 | 75.3025   | 17.1922 |
| 0.0572        | 3.0   | 29202 | 0.1896          | 75.8334 | 66.86   | 75.2774 | 75.2871   | 17.1755 |


### Framework versions

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