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whisper-large-v3-hebrew – AI Model by adarcook | AlphaNeural AI
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whisper-large-v3-hebrew
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transformers
pytorch
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_17_0
openai/whisper-large-v3
finetune
apache-2.0
endpoints_compatible
us
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whisper-large-v3-hebrew
This model is a fine-tuned version of
openai/whisper-large-v3
on the common_voice_17_0 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: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 100
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.42.3
Pytorch 2.1.2+cu118
Datasets 2.20.0
Tokenizers 0.19.1
