whisper-medium-azerbaijani-v1

This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0521
• Wer: 6.3303

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: 1500
• num_epochs: 12
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0408	2.1038	1500	0.0797	10.5163
0.0097	4.2076	3000	0.0527	8.2184
0.0019	6.3114	4500	0.0494	7.3314
0.001	8.4151	6000	0.0507	6.1806
0.0002	10.5189	7500	0.0521	6.3303

Framework versions

• Transformers 4.57.0
• Pytorch 2.10.0.dev20251007+cu128
• Datasets 3.6.0
• Tokenizers 0.22.1