This model is a fine-tuned version of openai/whisper-large-v3 on the Custom Libyan Arabic podcast — 258 manually transcribed clips dataset.
It achieves the following results on the evaluation set:
Loss: 0.5756
Wer: 31.3595
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: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAFACTOR and the args are:
No additional optimizer arguments
