---
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
datasets:
- samsum
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
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# bart-cnn-samsum-finetuned

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1743

## 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: 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1134        | 1.0   | 37   | 0.1313          |
| 0.0581        | 2.0   | 74   | 0.1378          |
| 0.0443        | 3.0   | 111  | 0.1470          |
| 0.0289        | 4.0   | 148  | 0.1631          |
| 0.0202        | 5.0   | 185  | 0.1743          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.13.3