alpcansoydas/whisper-small-tr-ft

Whisper for Turkish Call Centers

This model is a fine-tuned version of openai/whisper-small on the Custom turkish call center simulated data dataset. It achieves the following results on the evaluation set:

• Loss: 0.3723

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_FUSED 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: 4500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.2385	0.8889	1000	0.3555
0.1722	1.7778	2000	0.3444
0.1280	2.6667	3000	0.3561
0.0816	3.5556	4000	0.3723

Framework versions

• Transformers 5.3.0
• Pytorch 2.10.0+cu128
• Datasets 4.6.1
• Tokenizers 0.22.2