aslon1213/whisper-small-uz-ct2

Whisper Small Uz - Aslon Khamidov

This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.1 dataset and converted to ctranslate2 type model.

Model description

Automatic Speech Recognition - Whisper

Intended uses & limitations

For speech to text

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 16
• 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: 2000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2