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# pegasus-samsum

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: 1.4963

## Model description

Original bart (Bidirectional Auto Regressive Transformers) paper : https://arxiv.org/abs/1910.13461

## Training and evaluation data

Fine-Tuned over 1 epoch. The improvements over facebook/bart-large-cnn over the rouge benchmark is as follows : <br>
Rouge1 : 30.6 % <br>
Rouge2 : 103 % <br>
RougeL : 33.18 % <br>
RougeLSum : 33.18 % <br>

## Training procedure
Please refer to https://github.com/dhivyeshrk/FineTuning-Facebook-bart-large-cnn

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3689        | 0.54  | 500  | 1.4963          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
{"license": "mit", "library_name": "transformers", "tags": ["generated_from_trainer"], "datasets": ["samsum"], "metrics": ["rouge"], "model-index": [{"name": "pegasus-samsum", "results": []}]}
transformers pytorch bart text2text-generation generated_from_trainer dataset:samsum arxiv:1910.13461 license:mit autotrain_compatible endpoints_compatible region:us