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whisper-small-common-kk – AI Model by nocturneFlow | AlphaNeural AI
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whisper-small-common-kk
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
kk
mozilla-foundation/common_voice_17_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Kk - Kazakh
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: 0.6964
Wer: 46.1466
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
0.0018
15.1515
1000
0.6017
49.5578
0.0002
30.3030
2000
0.6563
46.5572
0.0001
45.4545
3000
0.6854
46.1150
0.0001
60.6061
4000
0.6964
46.1466
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu118
Datasets 3.3.2
Tokenizers 0.21.0
