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

Loss: 0.7751
Wer: 47.3373

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: 32
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

Epoch	Step	Validation Loss	Wer
499.0	1000	0.7751	47.3373
999.0	2000	0.8982	47.3373
1499.0	3000	0.9612	47.9290
1999.0	4000	1.0112	47.9290
2499.0	5000	1.0212	47.9290

Framework versions

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

geninhu/whisper-medium-az

Whisper Medium Azerbaijani

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

geninhu/
whisper-medium-az