---
license: mit
tags:
- generated_from_trainer
model-index:
- name: bart-pt-asqa-cb
  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-cb

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: 2.5362
- Rougelsum: 38.9467

## 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: 5e-06
- train_batch_size: 16
- 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   | 273  | 2.5653          | 37.6939   |
| 2.6009        | 2.0   | 546  | 2.5295          | 38.2398   |
| 2.6009        | 3.0   | 819  | 2.5315          | 38.5946   |
| 2.3852        | 4.0   | 1092 | 2.5146          | 38.4771   |
| 2.3852        | 5.0   | 1365 | 2.5240          | 38.5706   |
| 2.2644        | 6.0   | 1638 | 2.5253          | 38.7506   |
| 2.2644        | 7.0   | 1911 | 2.5355          | 38.9004   |
| 2.1703        | 8.0   | 2184 | 2.5309          | 38.9528   |
| 2.1703        | 9.0   | 2457 | 2.5362          | 38.9467   |


### Framework versions

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