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whisper-tiny-turkish-speech-v1 – AI Model by pnr-svc | AlphaNeural AI
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whisper-tiny-turkish-speech-v1
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tensorboard
safetensors
whisper
generated_from_trainer
tr
mozilla-foundation/common_voice_11_0
openai/whisper-tiny
finetune
apache-2.0
model-index
us
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Whisper tiny tr - Pinar Savci
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.5405
Wer: 43.8474
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
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
0.4111
0.8857
1000
0.5962
47.4549
0.3035
1.7715
2000
0.5575
44.7575
0.2301
2.6572
3000
0.5473
44.0803
0.2145
3.5430
4000
0.5405
43.8474
Framework versions
Transformers 4.43.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
