---
base_model: facebook/bart-large-cnn
license: mit
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: bartcnn_finetune_4e
  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. -->

# bartcnn_finetune_4e

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co./facebook/bart-large-cnn) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3295
- Rouge1: 39.7896
- Rouge2: 18.8935
- Rougel: 26.783
- Rougelsum: 35.2813

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 0.4269        | 1.0   | 1522 | 0.3342          | 39.3787 | 18.9684 | 26.7717 | 34.7404   |
| 0.3743        | 2.0   | 3044 | 0.3276          | 39.977  | 18.9784 | 27.1332 | 35.5149   |
| 0.34          | 3.0   | 4566 | 0.3273          | 40.274  | 19.5907 | 27.3976 | 35.7839   |
| 0.3279        | 4.0   | 6088 | 0.3295          | 39.7896 | 18.8935 | 26.783  | 35.2813   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1