mustafoyev202/whisper-uz

Whisper Medium Uzbek

This model is a fine-tuned version of openai/whisper-medium on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4148
• Wer: 38.1999

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: 3e-05
• train_batch_size: 64
• eval_batch_size: 16
• seed: 42
• 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
• lr_scheduler_warmup_steps: 200
• training_steps: 1500

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6553	0.5330	250	0.5830	51.2637
0.3945	1.0661	500	0.4612	41.6914
0.3352	1.5991	750	0.4360	42.0931
0.2028	2.1322	1000	0.4155	38.1133
0.1956	2.6652	1250	0.4081	37.6900
0.1202	3.1983	1500	0.4148	38.1999

Framework versions

• Transformers 4.49.0
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0