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whisper-small-kur – AI Model by rizgan | AlphaNeural AI
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whisper-small-kur
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ku
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Kur - Rizgan Gerdenzeri
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.5986
Wer: 35.2686
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: 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
0.3355
1.7699
1000
0.4746
40.3146
0.0921
3.5398
2000
0.4746
36.7845
0.0142
5.3097
3000
0.5598
36.6251
0.004
7.0796
4000
0.5986
35.2686
Framework versions
Transformers 4.43.3
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
