openai-whisper-small-uz-2025-07-10

This model is a fine-tuned version of openai/whisper-small on an unknown dataset.

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: 0.0003
• train_batch_size: 384
• eval_batch_size: 192
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 768
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.52.4
• Pytorch 2.5.1+cu121
• Datasets 3.5.1
• Tokenizers 0.21.1