This model is a fine-tuned version of ihanif/whisper-turbo-ar-v2 on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
eval_loss: 2.9315
eval_wer_ortho: 867.0862
eval_wer: 880.1660
eval_runtime: 1478.3887
eval_samples_per_second: 1.09
eval_steps_per_second: 0.068
epoch: 1.8779
step: 400
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: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
