nb-bert-base-qa-norquad

This model is a fine-tuned version of 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