---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-carvia_nlc2cmd_BART
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart-base-carvia_nlc2cmd_BART

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rouge1: 88.8889
- Rouge2: 85.7143
- Rougel: 88.8889
- Rougelsum: 88.8889
- Gen Len: 20.0

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.004         | 1.0   | 1625 | 0.0000          | 88.8889 | 85.7143 | 88.8889 | 88.8889   | 20.0    |
| 0.0028        | 2.0   | 3250 | 0.0000          | 98.0519 | 97.4952 | 98.0519 | 98.0444   | 20.0    |
| 0.0014        | 3.0   | 4875 | 0.0000          | 88.8889 | 85.7143 | 88.8889 | 88.8889   | 20.0    |
| 0.0           | 4.0   | 6500 | 0.0000          | 88.8889 | 85.7143 | 88.8889 | 88.8889   | 20.0    |
| 0.0           | 5.0   | 8125 | 0.0000          | 88.8889 | 85.7143 | 88.8889 | 88.8889   | 20.0    |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3