---
license: apache-2.0
base_model: Salesforce/codet5-base
tags:
- code-generation
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: codeT5-finetuned-cXg-nl-to-code
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# codeT5-finetuned-cXg-nl-to-code

This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5944
- Rouge1: 0.0735
- Rouge2: 0.0022
- Rougel: 0.0671
- Bleu: 0.7231
- Meteor: 0.0630
- Codebleu: 0.0382

## 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: 64
- 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 | Bleu   | Meteor | Codebleu |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|:------:|:--------:|
| No log        | 1.0   | 4    | 4.8941          | 0.0196 | 0.004  | 0.0201 | 0.0446 | 0.0142 | 0.0146   |
| No log        | 2.0   | 8    | 2.1851          | 0.0519 | 0.0019 | 0.0519 | 0.1178 | 0.0281 | 0.0217   |
| No log        | 3.0   | 12   | 1.5944          | 0.0731 | 0.0022 | 0.0670 | 0.1442 | 0.0596 | 0.0246   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1