This model is a fine-tuned version of openai/whisper-large-v3-turbo on the Common voice 17.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.1012
Wer: 10.8653

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 OptimizerNames.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_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1832	0.3299	1000	0.1836	18.5993
0.1546	0.6598	2000	0.1450	15.8307
0.1182	0.9898	3000	0.1138	12.4178
0.0435	1.3197	4000	0.1012	10.8653

Framework versions

Transformers 4.53.0.dev0
Pytorch 2.5.1
Datasets 3.3.2
Tokenizers 0.21.1

Zakryah/whisper-turbo-tct

TcT Whisper Turbo - Zakryah

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Zakryah/
whisper-turbo-tct