---
license: apache-2.0
base_model: GuysTrans/bart-base-re-attention-mini-seq-512
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-re-attention-mini-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-mini-seq-512

This model is a fine-tuned version of [GuysTrans/bart-base-re-attention-mini-seq-512](https://huggingface.co/GuysTrans/bart-base-re-attention-mini-seq-512) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 12.6198
- Rouge1: 0.0732
- Rouge2: 0.0
- Rougel: 0.0726
- Rougelsum: 0.0737
- Gen Len: 18.6752

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 5.8323        | 1.0   | 2920 | 12.6198         | 0.0732 | 0.0    | 0.0726 | 0.0737    | 18.6752 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1