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

Loss on validation: 0.0706
WER on validation set: 6.3672
WER on test set: 6.79

Source code

All the source coude is located both in:

GitHub repository
and under src folder

Code in these 2 places should be the same. GitHub is used to make development and training of multiple models (small, base, etc.) easier.

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: 0.0001
train_batch_size: 64
eval_batch_size: 64
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: 12000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1907	0.08	1000	0.2546	25.4639
0.1482	0.17	2000	0.1641	17.1676
0.1175	0.25	3000	0.1454	15.5940
0.0958	0.33	4000	0.1261	13.2625
0.099	0.42	5000	0.1012	10.6143
0.028	1.05	6000	0.1053	9.8794
0.0473	1.13	7000	0.1029	10.3078
0.0391	1.21	8000	0.0924	9.2419
0.0423	1.3	9000	0.0797	7.9249
0.0604	1.38	10000	0.0688	7.0150
0.0121	2.01	11000	0.0696	6.4638
0.0155	2.1	12000	0.0706	6.3672

Framework versions

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

ales/whisper-small-belarusian

Whisper Small Belarusian

Source code

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ales/
whisper-small-belarusian