This model is a fine-tuned version of openai/whisper-large-v2 on the common_voice_11_0 dataset.
It achieves the following results on the evaluation set:
Loss: 0.3209
Wer: 40.4634
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
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
