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

Loss: 0.5814
Wer: 13.7086

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: 8e-06
train_batch_size: 32
eval_batch_size: 8
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: 10000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0265	3.14	1000	0.3690	14.7607
0.0063	6.29	2000	0.4342	14.0926
0.0016	9.43	3000	0.4847	14.3609
0.002	12.58	4000	0.4919	14.1715
0.0013	15.72	5000	0.5114	14.2294
0.0014	18.87	6000	0.5197	13.9137
0.0003	22.01	7000	0.5422	14.1978
0.0001	25.16	8000	0.5659	13.8716
0.0001	28.3	9000	0.5772	13.7296
0.0001	31.45	10000	0.5814	13.7086

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2

jstoone/whisper-medium-da

Whisper Medium Danish (CV11 + FLEAURS)

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jstoone/
whisper-medium-da