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uaspeech-whisper-small-fullFT – AI Model by charleslwang | AlphaNeural AI
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uaspeech-whisper-small-fullFT
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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uaspeech-whisper-small-baseline
This model is a fine-tuned version of
openai/whisper-small
on UA-Speech.
Training and evaluation data
UA-Speech for training.
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: 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
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.56.2
Pytorch 2.8.0+cu128
Datasets 4.4.1
Tokenizers 0.22.1