---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-cnn-ing-extraction-e4
  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-ing-extraction-e4

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: 2.6226
- Rouge1: 10.8186
- Rouge2: 4.3032
- Rougel: 10.7802
- Rougelsum: 10.7952
- Gen Len: 57.5739

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 0.6235        | 1.0   | 762  | 3.1458          | 14.9141 | 5.5712 | 14.7529 | 14.8292   | 57.6903 |
| 0.2435        | 2.0   | 1524 | 2.2255          | 6.4408  | 2.4546 | 6.4219  | 6.4393    | 57.2955 |
| 0.1467        | 3.0   | 2286 | 2.9673          | 9.9243  | 3.9008 | 9.932   | 9.9268    | 57.6506 |
| 0.0627        | 4.0   | 3048 | 2.6226          | 10.8186 | 4.3032 | 10.7802 | 10.7952   | 57.5739 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3