pytorch tensorboard bart question-answering dataset:squad_v2 transformers generated_from_trainer license:apache-2.0 model-index autotrain_compatible
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: bart-base-finetuned-squad2
  results: []
---

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# bart-base-finetuned-squad2

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the squad_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0446

## 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: 2e-05
- 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: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.9981        | 1.0   | 16319 | 0.9607          |
| 0.7521        | 2.0   | 32638 | 1.0446          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
