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faster-whisper-ja-base-v2 – AI Model by zary0 | AlphaNeural AI
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zary0
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faster-whisper-ja-base-v2
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transformers
pytorch
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
audiofolder
zary0/faster-whisper-ja-base
finetune
endpoints_compatible
us
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faster-whisper-ja-base-v2
This model is a fine-tuned version of
zary0/faster-whisper-ja-tiny
on the audiofolder 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: 5e-06
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
num_epochs: 6
mixed_precision_training: Native AMP
Framework versions
Transformers 4.56.2
Pytorch 2.8.0.dev20250319+cu128
Datasets 3.6.0
Tokenizers 0.22.1
