MohammadJamalaldeen
/

whisper-medium-arabic

Automatic Speech Recognition

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Inference Endpoints

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Whisper Medium - Arabic language

This model is a fine-tuned version of MohammadJamalaldeen/whisper-medium-with-google-fleurs-ar-4000_steps on Google Fleurs dataset. It achieves the following results on the evaluation set:

Loss: 0.3975
Wer: 17.5375

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0187	3.8	1000	0.3512	19.2
0.0017	7.6	2000	0.3857	18.0625
0.0002	11.41	3000	0.3894	17.5875
0.0001	15.21	4000	0.3975	17.5375

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.7.0
Tokenizers 0.13.2

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Dataset used to train MohammadJamalaldeen/whisper-medium-arabic

Evaluation results

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