---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-cnn-finetuned-roundup-3-4
  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-roundup-3-4

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: 1.1949
- Rouge1: 49.6216
- Rouge2: 29.1874
- Rougel: 32.042
- Rougelsum: 46.3679
- Gen Len: 140.9688

## 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
- 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 | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| No log        | 1.0   | 258  | 1.2708          | 48.8914 | 29.2868 | 30.6203 | 46.2886   | 142.0    |
| 1.1751        | 2.0   | 516  | 1.1869          | 49.3567 | 28.4751 | 31.3075 | 46.3408   | 141.75   |
| 1.1751        | 3.0   | 774  | 1.1869          | 48.8335 | 28.4976 | 30.5434 | 46.2584   | 141.625  |
| 0.7391        | 4.0   | 1032 | 1.1949          | 49.6216 | 29.1874 | 32.042  | 46.3679   | 140.9688 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1