---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-base-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-base-asqa-ob

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: 1.8291
- Rougelsum: 13.0645

## 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: 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  | 1.9076          | 13.1069   |
| 2.2336        | 2.0   | 710  | 1.8749          | 13.0551   |
| 2.048         | 3.0   | 1065 | 1.8580          | 13.1287   |
| 2.048         | 4.0   | 1420 | 1.8413          | 13.1473   |
| 2.0003        | 5.0   | 1775 | 1.8451          | 13.1264   |
| 1.9423        | 6.0   | 2130 | 1.8360          | 13.0959   |
| 1.9423        | 7.0   | 2485 | 1.8372          | 13.1289   |
| 1.8894        | 8.0   | 2840 | 1.8275          | 13.1359   |
| 1.8568        | 9.0   | 3195 | 1.8241          | 13.0983   |
| 1.8279        | 10.0  | 3550 | 1.8279          | 13.0184   |
| 1.8279        | 11.0  | 3905 | 1.8275          | 13.1177   |
| 1.7871        | 12.0  | 4260 | 1.8279          | 13.0871   |
| 1.7666        | 13.0  | 4615 | 1.8295          | 13.0992   |
| 1.7666        | 14.0  | 4970 | 1.8291          | 13.0645   |


### Framework versions

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