This model is a fine-tuned version of openai/whisper-tiny on the Moroccan Darija HSIO dataset. It achieves the following results on the evaluation set:

Loss: 0.0000
Wer: 0.0

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
0.0015	9.0909	1000	0.0001
0.0001	18.1818	2000	0.0000
0.0001	27.2727	3000	0.0000
0.0	36.3636	4000	0.0000
0.0	45.4545	5000	0.0000

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

Yassinevic/whisper-tiny-ar

Whisper Tiny AR - Yassinevic

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Yassinevic/
whisper-tiny-ar