whisper-small-p0km API & Inference Endpoint

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 1000
mixed_precision_training: Native AMP

Table with columns: Training Loss, Epoch, Step, Validation Loss, Wer Ortho, Wer
Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.0020	17.8571	500	0.7053	90.1961	58.9091
0.0000	35.7143	1000	0.8060	88.2353	52.7273

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 1000
mixed_precision_training: Native AMP

Table with columns: Training Loss, Epoch, Step, Validation Loss, Wer Ortho, Wer
Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.0020	17.8571	500	0.7053	90.1961	58.9091
0.0000	35.7143	1000	0.8060	88.2353	52.7273

whisper-small-p0km