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:
eval_loss: 0.4219
eval_runtime: 240.3412
eval_samples_per_second: 4.993
eval_steps_per_second: 0.312
epoch: 1.0
step: 375
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: 0.001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
