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whisper-nepali-cs-multitask-lora-ckpts – AI Model by saileshbro | AlphaNeural AI
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saileshbro
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whisper-nepali-cs-multitask-lora-ckpts
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peft
safetensors
adapter
lora
transformers
kiranpantha/whisper-large-v3-nepali
apache-2.0
us
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whisper-nepali-cs-multitask-lora-ckpts
This model is a fine-tuned version of
kiranpantha/whisper-large-v3-nepali
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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: 235
training_steps: 4698
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
