This model is a fine-tuned version of openai/whisper-medium on the Common Voice 11.0 and the FLEURS datasets.
It achieves the following results on the evaluation set:
eval_loss: 0.1875
eval_wer: 17.5807
eval_cer: 8.9942
eval_runtime: 14734.8594
eval_samples_per_second: 0.742
eval_steps_per_second: 0.046
epoch: 10.02
step: 11000
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: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
