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tokomni-whisper – AI Model by OverloadedOperator | AlphaNeural AI
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tokomni-whisper
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
he
imvladikon/hebrew_speech_kan
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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TK_Whisper_ASR
This model is a fine-tuned version of
openai/whisper-tiny
on the KAN Hebrew Speech dataset.
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: 10
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu118
Datasets 2.18.0
Tokenizers 0.15.0
