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whisper-large-v3-nepali-fm-0-1-23Mar-peft-dora-speakerSpeakerCV4-rank8-targetxqv-epochs3 – AI Model by kiranpantha | AlphaNeural AI
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whisper-large-v3-nepali-fm-0-1-23Mar-peft-dora-speakerSpeakerCV4-rank8-targetxqv-epochs3
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peft
tensorboard
safetensors
generated_from_trainer
ne
kiranpantha/dataset-for-peft-cv-nepds
kiranpantha/whisper-large-v3-nepali
adapter
apache-2.0
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kiranpantha/whisper-large-v3-nepali
This model is a fine-tuned version of
kiranpantha/whisper-large-v3-nepali
on the OpenSLR54 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: 0.001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 10
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.5.1+cxx11.abi
Datasets 3.2.0
Tokenizers 0.21.0
