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whisper-medium-ft-issai – AI Model by nocturneFlow | AlphaNeural AI
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nocturneFlow
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whisper-medium-ft-issai
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
kk
Shirali/ISSAI_KSC_335RS_v_1_1
mozilla-foundation/common_voice_17_0
google/fleurs
nocturneFlow/whisper-medium-ft
finetune
apache-2.0
endpoints_compatible
us
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Whisper Medium KK - Kazakh - Fleurs - Common Voice
This model is a fine-tuned version of
nocturneFlow/whisper-medium-ft
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0778
Wer: 10.2803
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1487
0.2173
1000
0.1408
17.6987
0.1137
0.4347
2000
0.1059
13.7526
0.092
0.6520
3000
0.0924
12.0276
0.0814
0.8693
4000
0.0814
10.6566
0.047
1.0865
5000
0.0778
10.2803
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu118
Datasets 3.6.0
Tokenizers 0.21.0
