---
license: mit
base_model: roberta-base
tags:
- Text Generation
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: roBerta-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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# roBerta-finetuned-cXg-nl-to-code

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2143
- Rouge1: 0.0880
- Rouge2: 0.0056
- Rougel: 0.0629
- Bleu: 1.2970
- Meteor: 0.1134
- Codebleu: 0.2059

## 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



### Framework versions

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