transformers pytorch tensorboard bart text2text-generation summarization generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
metrics:
- rouge
tags:
- summarization
- generated_from_trainer
model-index:
- name: argilla-news-model
  results: []
---

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

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: 1.6567
- Rouge1: 52.1956
- Rouge2: 27.1191
- Rougel: 47.4447
- Rougelsum: 47.4865

## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.0471        | 1.0   | 1532 | 1.6910          | 50.7422 | 26.3198 | 46.3759 | 46.3969   |
| 1.4617        | 2.0   | 3064 | 1.6369          | 52.3416 | 27.1892 | 47.7014 | 47.7618   |
| 1.0947        | 3.0   | 4596 | 1.6567          | 52.1956 | 27.1191 | 47.4447 | 47.4865   |


### Framework versions

- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
