Anass-Srk/fine-tuned-whisper-small-darija

Whisper small model fine-tuned on moroccan darija

This model is a fine-tuned version of openai/whisper-small on the Dvoice darija v2.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.1732
• Wer: 14.1994

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 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: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1141	2.3419	1000	0.2908	29.8924
0.0116	4.6838	2000	0.1821	15.6051
0.0009	7.0258	3000	0.1739	13.9249
0.0004	9.3677	4000	0.1721	14.3532
0.0003	11.7096	5000	0.1732	14.1994

Framework versions

• Transformers 4.46.0
• Pytorch 2.5.0+cu121
• Datasets 3.0.2
• Tokenizers 0.20.1