---
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: tidy-tab-model-bart-large-cnn
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tidy-tab-model-bart-large-cnn

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: 2.5251
- Rouge1: 0.1756
- Rouge2: 0.106
- Rougel: 0.1736
- Rougelsum: 0.1739
- Gen Len: 57.7607

## 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: 4e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 24

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.0787        | 7.5758  | 500  | 2.4807          | 0.1848 | 0.1066 | 0.1798 | 0.18      | 57.5385 |
| 0.0293        | 15.1515 | 1000 | 2.1823          | 0.1619 | 0.0957 | 0.1594 | 0.1594    | 57.7521 |
| 0.0072        | 22.7273 | 1500 | 2.5251          | 0.1756 | 0.106  | 0.1736 | 0.1739    | 57.7607 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1