---
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
model-index:
- name: bart-cnn-aps-fineTuned
  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-aps-fineTuned

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: 0.0208

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 6    | 0.1899          |
| 1.3242        | 2.0   | 12   | 0.0825          |
| 1.3242        | 3.0   | 18   | 0.0546          |
| 0.069         | 4.0   | 24   | 0.0347          |
| 0.0352        | 5.0   | 30   | 0.0277          |
| 0.0352        | 6.0   | 36   | 0.0242          |
| 0.0253        | 7.0   | 42   | 0.0217          |
| 0.0253        | 8.0   | 48   | 0.0210          |
| 0.0216        | 9.0   | 54   | 0.0208          |
| 0.0201        | 10.0  | 60   | 0.0208          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2