---
license: cc-by-4.0
base_model: NbAiLab/nb-bert-base
tags:
- generated_from_trainer
model-index:
- name: nb-bert-base-qa-norquad
  results: []
datasets:
- eanderson/NorQuAD
language:
- 'no'
metrics:
- squad
---

<!-- 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. -->

# nb-bert-base-qa-norquad

This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9546

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

model : eanderson/nb-bert-base-qa-norquad
language : norwegian

dataset: eanderson/NorQuAD["text"]
dataset_size: 472

exact_match : 59.110169491525426,
f1 : 71.37800143052715

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.5595        | 1.0   | 3808  | 1.6062          |
| 0.9856        | 2.0   | 7616  | 1.7905          |
| 0.4723        | 3.0   | 11424 | 1.9546          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3