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whisper_ft – AI Model by kuma-rtin | AlphaNeural AI
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whisper_ft
This model is a fine-tuned version of
openai/whisper-base
on an unknown 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: 0.0002
train_batch_size: 8
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: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 10
mixed_precision_training: Native AMP
Framework versions
PEFT 0.17.1
Transformers 4.56.1
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.22.0
