---
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: 0.9866
- Rouge1: 33.2829
- Rouge2: 24.5495
- Rougel: 31.4076
- Rougelsum: 32.6596
- Gen Len: 25.9728

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.0215        | 1.0   | 18247 | 0.9866          | 33.2829 | 24.5495 | 31.4076 | 32.6596   | 25.9728 |


### Framework versions

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