whisper-darija-stage1

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

• Loss: 2.9841
• Wer: 68.6860

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: 8
• total_train_batch_size: 32
• 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: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3707	16.6809	100	2.3146	69.3987
0.0683	33.3404	200	2.6466	67.5724
0.0202	50.0	300	2.8124	69.0869
0.0046	66.6809	400	2.9300	68.3296
0.0008	83.3404	500	2.9841	68.6860

Framework versions

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