This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 da dataset. It achieves the following results on the evaluation set:

Loss: 0.7926
Wer: 32.3251

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: 5e-05
train_batch_size: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0232	15.15	1000	0.7538	35.5813
0.0061	30.3	2000	0.7933	34.3766
0.0016	45.45	3000	0.7993	33.5823
0.0003	60.61	4000	0.7986	31.6097
0.0002	75.76	5000	0.7901	32.1357

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.2

ALM/whisper-da-small-augmented

Whisper Small Danish - Robust

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ALM/
whisper-da-small-augmented