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whisper-large-v2-mn-lora – AI Model by Tsedee | AlphaNeural AI
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Tsedee
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whisper-large-v2-mn-lora
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peft
tensorboard
safetensors
adapter
lora
transformers
bayartsogt/whisper-large-v2-mn-13
apache-2.0
us
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whisper-large-v2-mn-lora
This model is a fine-tuned version of
bayartsogt/whisper-large-v2-mn-13
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: 0.001
train_batch_size: 32
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: 200
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.18.1
Transformers 4.46.3
Pytorch 2.12.0.dev20260330+cu128
Datasets 3.1.0
Tokenizers 0.20.3
