---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-large-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-large-asqa-cb

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4791
- Rougelsum: 38.2862

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 3.347         | 1.0   | 545  | 2.5353          | 37.3812   |
| 2.7829        | 2.0   | 1090 | 2.5087          | 37.6431   |
| 2.6973        | 3.0   | 1635 | 2.4906          | 37.9194   |
| 2.6125        | 4.0   | 2180 | 2.4812          | 38.1180   |
| 2.5697        | 5.0   | 2725 | 2.4762          | 38.1616   |
| 2.5086        | 6.0   | 3270 | 2.4773          | 38.1370   |
| 2.4678        | 7.0   | 3815 | 2.4831          | 37.9346   |
| 2.4404        | 8.0   | 4360 | 2.4896          | 38.1150   |
| 2.3866        | 9.0   | 4905 | 2.4775          | 38.2222   |
| 2.3791        | 10.0  | 5450 | 2.4791          | 38.2862   |


### Framework versions

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