YazanSalameh/Whisper-base-Arabic

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

Whisper base arabic

It achieves the following results on the evaluation set:

• —Loss: 0.44
• —Wer: 34.7

Training and evaluation data

Train set:

• —mozilla-foundation/commonvoice16_0 ar [train+validation]
• —BelalElhossany/mgb2audiostranscriptionsnonoverlap
• —nadsoft/Jordan-Audio

cross validation set: 600 samples in total from the 3 sets to save time during training as colab free tier was used to train the model. note: evaluate accuracy in the way you see fit.

Training procedure

removed arabic (حركات) from the texts. trained the model on the combined dataset for 6 epochs, the best one being the fifth so the model is basically the 5th epoch.

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 1e-05
• —trainbatchsize: 32
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 1
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500

Training results