---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: CS685-text-summarizer
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# CS685-text-summarizer

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6758
- Rouge1: 50.1818
- Rouge2: 25.0255
- Rougel: 45.4346
- Rougelsum: 45.4932

## 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: 5.6e-05
- train_batch_size: 10
- eval_batch_size: 10
- 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 | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.0628        | 1.0   | 613  | 1.7464          | 48.9466 | 24.0276 | 44.5506 | 44.6348   |
| 1.5004        | 2.0   | 1226 | 1.6758          | 50.1818 | 25.0255 | 45.4346 | 45.4932   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3