---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-model2-0611-e4
  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-model2-0611-e4

This model is a fine-tuned version of [theojolliffe/bart-paraphrase-v4-e1-feedback](https://huggingface.co/theojolliffe/bart-paraphrase-v4-e1-feedback) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1594
- Rouge1: 60.6252
- Rouge2: 57.2694
- Rougel: 60.2575
- Rougelsum: 60.3721
- 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.5809        | 1.0   | 624  | 0.3684          | 58.0755 | 49.7811 | 56.3216 | 56.4602   | 19.8485 |
| 0.2627        | 2.0   | 1248 | 0.2291          | 58.4775 | 54.4415 | 58.3879 | 58.1972   | 20.0    |
| 0.1537        | 3.0   | 1872 | 0.1848          | 60.3497 | 56.6674 | 60.1125 | 59.9956   | 20.0    |
| 0.1152        | 4.0   | 2496 | 0.1594          | 60.6252 | 57.2694 | 60.2575 | 60.3721   | 20.0    |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1