pytorch bart generated_from_trainer license:mit region:us
---
license: mit
tags:
- generated_from_trainer
model-index:
- name: arxiv-bart-summarization
  results: []
---

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# arxiv-bart-summarization

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: 0.0235

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0034        | 1.0   | 2500  | 0.0143          |
| 0.0009        | 2.0   | 5000  | 0.0215          |
| 0.0008        | 3.0   | 7500  | 0.0161          |
| 0.0001        | 4.0   | 10000 | 0.0235          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.0+cu117
- Datasets 3.3.2
- Tokenizers 0.13.3
