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whisper-tiny-tr-optimized-v3 – AI Model by volkan-aslan | AlphaNeural AI
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whisper-tiny-tr-optimized-v3
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
tr
mozilla-foundation/common_voice_17_0
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny TR Optimized V3 - Volkan ASLAN
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.4976
Wer: 38.8691
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: 3.75e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.4323
0.6894
1000
0.5809
44.9016
0.2368
1.3785
2000
0.5329
41.3199
0.1354
2.0676
3000
0.5079
41.0066
0.1287
2.7570
4000
0.4931
38.8487
0.0888
3.4461
5000
0.4976
38.8691
Framework versions
Transformers 4.51.3
Pytorch 2.5.1+cu121
Datasets 3.5.1
Tokenizers 0.21.1
