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

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: 1.5919
- Rougelsum: 19.1048

## 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  | 1.6256          | 18.3700   |
| 1.8462        | 2.0   | 710  | 1.5966          | 18.3464   |
| 1.6704        | 3.0   | 1065 | 1.5906          | 18.6009   |
| 1.6704        | 4.0   | 1420 | 1.5841          | 18.2794   |
| 1.6087        | 5.0   | 1775 | 1.5852          | 18.4272   |
| 1.5364        | 6.0   | 2130 | 1.5989          | 18.9977   |
| 1.5364        | 7.0   | 2485 | 1.5902          | 18.7631   |
| 1.4746        | 8.0   | 2840 | 1.5917          | 18.9565   |
| 1.4336        | 9.0   | 3195 | 1.5919          | 19.1048   |


### Framework versions

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