---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: BART_corrector_15
  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. -->

# BART_corrector_15

This model is a fine-tuned version of [ainize/bart-base-cnn](https://huggingface.co/ainize/bart-base-cnn) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0214
- Rouge1: 80.3263
- Rouge2: 78.1274
- Rougel: 80.3215
- Rougelsum: 80.3039
- Gen Len: 19.3993

## 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: 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.0597        | 1.0   | 2365  | 0.0367          | 79.3503 | 76.3308 | 79.32   | 79.3005   | 19.3992 |
| 0.0322        | 2.0   | 4730  | 0.0276          | 79.9515 | 77.4211 | 79.9331 | 79.9164   | 19.3983 |
| 0.0212        | 3.0   | 7095  | 0.0241          | 80.1413 | 77.8084 | 80.129  | 80.1098   | 19.3992 |
| 0.0148        | 4.0   | 9460  | 0.0219          | 80.2625 | 78.035  | 80.2579 | 80.2372   | 19.4    |
| 0.0111        | 5.0   | 11825 | 0.0214          | 80.3263 | 78.1274 | 80.3215 | 80.3039   | 19.3993 |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1