nezamisafa/whisper-v3-turbo-persian-v1.0

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3078
• Wer: 29.9382

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: 1e-05
• train_batch_size: 16
• eval_batch_size: 8
• 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: 500
• training_steps: 6000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1113	1.0152	2000	0.4020	38.7338
0.0554	2.0305	4000	0.3469	35.0827
0.0204	3.0457	6000	0.3078	29.9382

Framework versions

• Transformers 4.52.4
• Pytorch 2.7.1+cu118
• Datasets 3.6.0
• Tokenizers 0.21.1