This model is a fine-tuned version of ihanif/whisper-small-tunning-v2 on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.6103
Wer Ortho: 91.8037
Wer: 89.7930

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: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
2.6485	1.8868	100	0.6103	91.8037	89.7930

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

ihanif/whisper-small-cv20-v1

Whisper Small PS - CV20-1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ihanif/
whisper-small-cv20-v1