---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: model2-bart-reverse
  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. -->

# model2-bart-reverse

This model is a fine-tuned version of [theojolliffe/model-2-bart-reverse-raw](https://huggingface.co/theojolliffe/model-2-bart-reverse-raw) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5768
- Rouge1: 50.0024
- Rouge2: 44.5149
- Rougel: 50.408
- Rougelsum: 50.0015
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 160  | 0.5107          | 54.2246 | 50.7271 | 51.1954 | 54.4944   | 20.0    |
| No log        | 2.0   | 320  | 0.5895          | 48.1317 | 43.4207 | 48.6594 | 48.4308   | 20.0    |
| No log        | 3.0   | 480  | 0.5833          | 51.7747 | 46.8312 | 52.47   | 52.1239   | 20.0    |
| 0.4286        | 4.0   | 640  | 0.5768          | 50.0024 | 44.5149 | 50.408  | 50.0015   | 20.0    |


### Framework versions

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