This model is a fine-tuned version of openai/whisper-small on the tutorial Voice 11.0 dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.7755
eval_wer: 79.6768
eval_runtime: 2952.7993
eval_samples_per_second: 1.001
eval_steps_per_second: 0.125
epoch: 0.4
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
