whisper-large-turkish-v5

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

• Loss: 0.3941
• Wer: 14.9232

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: 1000
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2081	0.7553	1000	0.2191	17.8157
0.1599	1.5106	2000	0.2153	16.5870
0.1025	2.2659	3000	0.2218	15.9967
0.0685	3.0211	4000	0.2349	15.6380
0.0557	3.7764	5000	0.2381	16.4826
0.026	4.5317	6000	0.2690	15.5286
0.0102	5.2870	7000	0.3062	15.2361
0.0053	6.0423	8000	0.3181	15.2513
0.0045	6.7976	9000	0.3256	15.6711
0.0018	7.5529	10000	0.3466	15.1267
0.001	8.3082	11000	0.3717	15.3938
0.0005	9.0634	12000	0.3777	15.0377
0.0006	9.8187	13000	0.3941	14.9232

Framework versions

• Transformers 4.51.3
• Pytorch 2.7.1+cu128
• Datasets 3.6.0
• Tokenizers 0.21.4