This model is a fine-tuned version of openai/whisper-large-v3-turbo on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.5649
eval_wer_ortho: 39.8068
eval_wer: 39.2011
eval_runtime: 655.7419
eval_samples_per_second: 1.112
eval_steps_per_second: 0.14
epoch: 2.2676
step: 1000
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
