---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-cnn-finetuned-p7_V2
  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-large-cnn-finetuned-p7_V2

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0742
- Rouge1: 54.2238
- Rouge2: 44.1502
- Rougel: 49.9702
- Rougelsum: 51.9939
- Gen Len: 65.3454

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.6948        | 1.0   | 910  | 0.8121          | 51.6637 | 41.9437 | 48.1988 | 49.7012   | 68.7993 |
| 0.3042        | 2.0   | 1820 | 0.9086          | 52.4291 | 42.1856 | 48.6079 | 50.2419   | 66.2829 |
| 0.1471        | 3.0   | 2730 | 1.0742          | 54.2238 | 44.1502 | 49.9702 | 51.9939   | 65.3454 |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3