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:
eval_loss: 0.2527
eval_wer: 10.0226
eval_runtime: 9610.7996
eval_samples_per_second: 0.747
eval_steps_per_second: 0.023
epoch: 1.8
step: 1098
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
