This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/common_voice_11_0 dataset.
It achieves the following results on the evaluation set:
Loss: 0.2613
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
WER = 0.14091457396644369
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
