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whisper_large_v3_turkish_khan – AI Model by peymil | AlphaNeural AI
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peymil
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whisper_large_v3_turkish_khan
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peft
tensorboard
safetensors
whisper
automatic-speech-recognition
adapter
lora
transformers
openai/whisper-large-v3-turbo
mit
us
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whisper_large_v3_turkish_khan
This model is a fine-tuned version of
openai/whisper-large-v3-turbo
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2402
Wer: 16.7043
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
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: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2524
0.3884
1250
0.2487
16.9302
0.2348
0.7769
2500
0.2432
16.7699
0.2239
1.1653
3750
0.2409
16.6970
0.2133
1.5538
5000
0.2402
16.7043
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
