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Zakryah/
whisper-turbo

Name: whisper-turbo
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

mozilla-foundation/common_voice_17_0

openai/whisper-large-v3-turbo

adapter

mit

model-index

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Whisper Turbo - Zakryah

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: 0.1877
Wer: 20.5468

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
0.1926	0.3299	1000	0.1996	20.9454
0.2061	0.6598	2000	0.1913	20.7485
0.188	0.9898	3000	0.1887	20.7962
0.1832	1.3197	4000	0.1877	20.5468

Framework versions

PEFT 0.14.1.dev0
Transformers 4.50.0.dev0
Pytorch 2.6.0+cu126
Datasets 3.3.2
Tokenizers 0.21.0

Zakryah/whisper-turbo

Whisper Turbo - Zakryah

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Zakryah/
whisper-turbo