This model is a fine-tuned version of openai/whisper-large-v3 on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.1498
eval_wer: 8.9052
eval_runtime: 12981.582
eval_samples_per_second: 1.247
eval_steps_per_second: 0.156
epoch: 1.9763
step: 2000
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: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
