This model is a fine-tuned version of pere/whisper-small-nob-clr on the NbAiLab/NCC_S dataset. It achieves the following results on the evaluation set:

Loss: 0.3284
Wer: 15.0122

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: 1e-05
train_batch_size: 64
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
training_steps: 3000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5975	0.33	1000	0.3354	15.7734
0.5783	0.67	2000	0.3327	16.3520
0.5788	1.0	3000	0.3284	15.0122

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2

NbAiLab/whisper-norwegian-small-test

Whisper Base Norwegian

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NbAiLab/
whisper-norwegian-small-test