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---
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 |