---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-cnn-science-v3-e5
  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-cnn-science-v3-e5

This model is a fine-tuned version of [theojolliffe/bart-cnn-science](https://huggingface.co/theojolliffe/bart-cnn-science) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8090
- Rouge1: 54.0053
- Rouge2: 35.5018
- Rougel: 37.3204
- Rougelsum: 51.5456
- Gen Len: 142.0

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| No log        | 1.0   | 398  | 0.9935          | 51.9669 | 31.8139 | 34.4748 | 49.5311   | 141.7407 |
| 1.1747        | 2.0   | 796  | 0.8565          | 51.7344 | 31.7341 | 34.3917 | 49.2488   | 141.7222 |
| 0.7125        | 3.0   | 1194 | 0.8252          | 52.829  | 33.2332 | 35.8865 | 50.1883   | 141.5556 |
| 0.4991        | 4.0   | 1592 | 0.8222          | 53.582  | 33.4906 | 35.7232 | 50.589    | 142.0    |
| 0.4991        | 5.0   | 1990 | 0.8090          | 54.0053 | 35.5018 | 37.3204 | 51.5456   | 142.0    |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1