---
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
model-index:
- name: bart-cnn-samsum-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-samsum-finetuned

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: 0.2177

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 6    | 0.3206          |
| 1.4764        | 2.0   | 12   | 0.2261          |
| 1.4764        | 3.0   | 18   | 0.2178          |
| 0.2188        | 4.0   | 24   | 0.2113          |
| 0.2077        | 5.0   | 30   | 0.2105          |
| 0.2077        | 6.0   | 36   | 0.2146          |
| 0.1529        | 7.0   | 42   | 0.2058          |
| 0.1529        | 8.0   | 48   | 0.2216          |
| 0.1482        | 9.0   | 54   | 0.2060          |
| 0.1433        | 10.0  | 60   | 0.2049          |
| 0.1433        | 11.0  | 66   | 0.2040          |
| 0.1153        | 12.0  | 72   | 0.2117          |
| 0.1153        | 13.0  | 78   | 0.2181          |
| 0.1022        | 14.0  | 84   | 0.2220          |
| 0.1145        | 15.0  | 90   | 0.2177          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2