---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: model-2-bart-reverse-raw
  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. -->

# model-2-bart-reverse-raw

This model is a fine-tuned version of [eugenesiow/bart-paraphrase](https://huggingface.co/eugenesiow/bart-paraphrase) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1556
- Rouge1: 63.5215
- Rouge2: 58.8297
- Rougel: 60.5701
- Rougelsum: 63.2683
- Gen Len: 19.4672

## 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.1276        | 1.0   | 12767 | 0.1556          | 63.5215 | 58.8297 | 60.5701 | 63.2683   | 19.4672 |


### Framework versions

- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1