This model is a fine-tuned version of openai/whisper-medium on the Common Voice 17.0 30% Synthetic 8 Speakers dataset.
It achieves the following results on the evaluation set:
Loss: 0.1079
Wer: 5.9158
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
