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STTUZB – AI Model by blackhole33 | AlphaNeural AI
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blackhole33
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STTUZB
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
uz
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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STTUZB
It achieves the following results on the evaluation set:
Loss: 0.3976
Wer Ortho: 35.5836
Wer: 29.0353
Model description
STTUZB model bu asosan 1GB datasetga o'qitildi, va natija qoniqarli.
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.2469
1.12
500
0.3976
35.5836
29.0353
Framework versions
Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2
