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

Framework versions

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