---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-re-attention-seq-512
  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-base-re-attention-seq-512

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0099
- Rouge1: 35.844
- Rouge2: 28.0163
- Rougel: 34.3568
- Rougelsum: 35.3141
- Gen Len: 25.876

## 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: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:-------:|:---------:|:-------:|
| 2.1053        | 1.0   | 18247 | 1.0099          | 35.844 | 28.0163 | 34.3568 | 35.3141   | 25.876  |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3