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
- Downloads last month
- 31
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.