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# bart_cnn_samsun_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: 0.0398

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0449        | 1.0   | 737  | 0.0423          |
| 0.0361        | 2.0   | 1474 | 0.0398          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["samsum"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "bart_cnn_samsun_finetuned", "results": []}]}
transformers tensorboard safetensors bart text2text-generation generated_from_trainer dataset:samsum base_model:facebook/bart-large-cnn license:mit autotrain_compatible endpoints_compatible region:us