README.md

---
license: apache-2.0
base_model: GuysTrans/bart-base-re-attention-seq-512
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
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# bart-base-re-attention-seq-512

This model is a fine-tuned version of [GuysTrans/bart-base-re-attention-seq-512](https://huggingface.co./GuysTrans/bart-base-re-attention-seq-512) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0438
- Rouge1: 36.4232
- Rouge2: 28.8475
- Rougel: 35.0746
- Rougelsum: 35.9648
- Bleu-1: 12.3365
- Bleu-2: 11.0718
- Bleu-3: 10.4408
- Bleu-4: 10.008
- Gen Len: 25.9554

## 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 | Bleu-1  | Bleu-2  | Bleu-3  | Bleu-4 | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:-------:|:------:|:-------:|
| 2.117         | 1.0   | 18247 | 1.0438          | 36.4232 | 28.8475 | 35.0746 | 35.9648   | 12.3365 | 11.0718 | 10.4408 | 10.008 | 25.9554 |


### Framework versions

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