This model is a fine-tuned version of openai/whisper-large-v2 on the Common Voice 16.1 dataset.
It achieves the following results on the evaluation set:
Loss: 0.2135
Cer: 7.0922
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: 5e-06
train_batch_size: 8
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
