This model is a fine-tuned version of openai/whisper-medium on the Arabic Speech Corpus dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.0794
eval_wer: 5.4226
eval_runtime: 200.1714
eval_samples_per_second: 0.5
eval_steps_per_second: 0.5
epoch: 5.7143
step: 250
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
