---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-stats-extract
  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-stats-extract

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: 0.3450
- Rouge1: 62.188
- Rouge2: 51.5988
- Rougel: 55.8383
- Rougelsum: 58.4919
- Gen Len: 90.4286

## 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   | 4    | 1.0447          | 51.2166 | 37.2933 | 44.8635 | 47.5954   | 74.0    |
| No log        | 2.0   | 8    | 0.5919          | 55.0964 | 43.0158 | 49.4166 | 51.4412   | 92.2857 |
| No log        | 3.0   | 12   | 0.4159          | 60.2619 | 48.694  | 54.0969 | 54.9467   | 95.1429 |
| No log        | 4.0   | 16   | 0.3450          | 62.188  | 51.5988 | 55.8383 | 58.4919   | 90.4286 |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3