This model is a fine-tuned version of EYEDOL/whisper-small-arbyeg on the arabic_mozilla_dataset_clean dataset. It achieves the following results on the evaluation set:

Loss: 0.2651
Wer: 46.8761

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: 32
eval_batch_size: 16
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: 500
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.9316	0.7205	1000	0.3003	48.2201
0.4708	1.4409	2000	0.2651	46.8761

Framework versions

Transformers 5.3.0
Pytorch 2.9.0+cu126
Datasets 4.6.1
Tokenizers 0.22.2