---
license: apache-2.0
tags:
- generated_from_trainer
datasets: din0s/asqa
base_model: facebook/bart-base
model-index:
- name: bart-base-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-base-asqa-cb

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the [ASQA](https://huggingface.co/datasets/din0s/asqa) dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7878
- Rougelsum: 36.5701

## 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  | 2.9082          | 35.2452   |
| 3.4369        | 2.0   | 546  | 2.8642          | 35.9217   |
| 3.4369        | 3.0   | 819  | 2.8426          | 35.9304   |
| 3.1616        | 4.0   | 1092 | 2.8310          | 36.2562   |
| 3.1616        | 5.0   | 1365 | 2.8193          | 36.4633   |
| 3.0814        | 6.0   | 1638 | 2.8091          | 36.6044   |
| 3.0814        | 7.0   | 1911 | 2.8069          | 36.6191   |
| 3.0165        | 8.0   | 2184 | 2.8026          | 36.6380   |
| 3.0165        | 9.0   | 2457 | 2.7978          | 36.6962   |
| 2.9724        | 10.0  | 2730 | 2.7965          | 36.5703   |
| 2.9282        | 11.0  | 3003 | 2.7926          | 36.5339   |
| 2.9282        | 12.0  | 3276 | 2.7916          | 36.5093   |
| 2.8996        | 13.0  | 3549 | 2.7911          | 36.4693   |
| 2.8996        | 14.0  | 3822 | 2.7904          | 36.3852   |
| 2.8803        | 15.0  | 4095 | 2.7888          | 36.6173   |
| 2.8803        | 16.0  | 4368 | 2.7881          | 36.5282   |
| 2.8653        | 17.0  | 4641 | 2.7885          | 36.6131   |
| 2.8653        | 18.0  | 4914 | 2.7878          | 36.6120   |
| 2.8558        | 19.0  | 5187 | 2.7877          | 36.5637   |
| 2.8558        | 20.0  | 5460 | 2.7878          | 36.5701   |


### Framework versions

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