---
license: mit
tags:
- generated_from_trainer
model-index:
- name: bart-pt-asqa-ob
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bart-pt-asqa-ob

This model is a fine-tuned version of [vblagoje/bart_lfqa](https://huggingface.co/vblagoje/bart_lfqa) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4268
- Rougelsum: 24.2407

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log        | 1.0   | 355  | 1.6269          | 19.0683   |
| 1.6035        | 2.0   | 710  | 1.6400          | 19.8336   |
| 1.3505        | 3.0   | 1065 | 1.6525          | 20.9906   |
| 1.3505        | 4.0   | 1420 | 1.7070          | 21.5381   |
| 1.1756        | 5.0   | 1775 | 1.7348          | 22.6130   |
| 1.0148        | 6.0   | 2130 | 1.8440          | 22.8553   |
| 1.0148        | 7.0   | 2485 | 1.8460          | 23.1281   |
| 0.8886        | 8.0   | 2840 | 1.9321          | 23.4357   |
| 0.7687        | 9.0   | 3195 | 2.0124          | 23.3538   |
| 0.6779        | 10.0  | 3550 | 2.0809          | 23.7958   |
| 0.6779        | 11.0  | 3905 | 2.1312          | 23.5703   |
| 0.5933        | 12.0  | 4260 | 2.2144          | 24.0672   |
| 0.5283        | 13.0  | 4615 | 2.2463          | 23.9667   |
| 0.5283        | 14.0  | 4970 | 2.3022          | 24.0211   |
| 0.4885        | 15.0  | 5325 | 2.3010          | 24.2634   |
| 0.4379        | 16.0  | 5680 | 2.3311          | 24.2333   |
| 0.4085        | 17.0  | 6035 | 2.4048          | 24.2417   |
| 0.4085        | 18.0  | 6390 | 2.4118          | 24.2201   |
| 0.3821        | 19.0  | 6745 | 2.4237          | 24.2905   |
| 0.3699        | 20.0  | 7100 | 2.4268          | 24.2407   |


### Framework versions

- Transformers 4.23.0.dev0
- Pytorch 1.12.1+cu102
- Datasets 2.4.0
- Tokenizers 0.12.1