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whisper-medium-common-kk – AI Model by nocturneFlow | AlphaNeural AI
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whisper-medium-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-medium
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Medium Kk - Kazakh
This model is a fine-tuned version of
openai/whisper-medium
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.5977
Wer: 37.9027
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
0.0078
15.1515
1000
0.5202
41.3771
0.0001
30.3030
2000
0.5584
39.6715
0.0
45.4545
3000
0.5884
38.0606
0.0
60.6061
4000
0.5977
37.9027
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu118
Datasets 3.6.0
Tokenizers 0.21.0
