whisper-darija-v2

This model is a fine-tuned version of ilyaslbern7347/whisper-darija-final on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1471
• Wer: 7.8431

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• 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: 25
• training_steps: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0969	3.5926	50	0.1945	11.1111
0.0329	7.1481	100	0.1680	8.4967
0.0037	10.7407	150	0.1405	6.5359
0.0002	14.2963	200	0.1471	7.8431

Framework versions

• Transformers 5.0.0
• Pytorch 2.10.0+cu128
• Datasets 4.8.3
• Tokenizers 0.22.2