This model is a fine-tuned version of openai/whisper-tiny on the AAVE Speech Recognition CORAAL dataset.
It achieves the following results on the evaluation set:
eval_loss: 1.3805
eval_model_preparation_time: 0.0026
eval_wer: 44.7790
eval_runtime: 24.5707
eval_samples_per_second: 3.256
eval_steps_per_second: 0.407
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: 16
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
