This model is a fine-tuned version of openai/whisper-small on the Common Voice Scripted Speech 24.0 - Santali (Ol Chiki) dataset.
It achieves the following results on the evaluation set:
eval_loss: 3.1085
eval_model_preparation_time: 0.0257
eval_wer: 1.1150
eval_runtime: 59.2411
eval_samples_per_second: 2.144
eval_steps_per_second: 0.27
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
