---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-cnn-finetuned-roundup-2-4
  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-2-4

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: 1.0908
- Rouge1: 51.9961
- Rouge2: 32.3963
- Rougel: 32.1774
- Rougelsum: 50.1033
- Gen Len: 141.0

## 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   | 167  | 1.2152          | 52.234  | 33.1104 | 33.308  | 49.5516   | 142.0    |
| No log        | 2.0   | 334  | 1.1054          | 52.7096 | 33.4698 | 33.9595 | 49.8736   | 140.3333 |
| 1.0437        | 3.0   | 501  | 1.0796          | 51.699  | 32.4255 | 34.0294 | 49.5276   | 141.7143 |
| 1.0437        | 4.0   | 668  | 1.0908          | 51.9961 | 32.3963 | 32.1774 | 50.1033   | 141.0    |


### Framework versions

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