ales/whisper-small-belarusian

Whisper Small Belarusian

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