---
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: 0.2969
- Rouge1: 0.5412
- Rouge2: 0.3606
- Rougel: 0.5202
- Bleu: 20.5506
- Meteor: 0.5161
- Codebleu: 0.2608

## 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: 5e-05
- train_batch_size: 6
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results



### Framework versions

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