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openai-whisper-small-uz-2025-07-10 – AI Model by azatovhikmatyor | AlphaNeural AI

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

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automatic-speech-recognition

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openai/whisper-small

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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