This model is a fine-tuned version of openai/whisper-small on the ISIZULU-ASR-0.9-SPEED dataset.
It achieves the following results on the evaluation set:
eval_loss: 1.3053
eval_wer: 58.5082
eval_runtime: 23.1359
eval_samples_per_second: 6.051
eval_steps_per_second: 0.389
step: 0
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: 32
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
