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noc_combine_lora – AI Model by Mahafit | AlphaNeural AI
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noc_combine_lora
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peft
tensorboard
safetensors
adapter
lora
transformers
biodatlab/whisper-th-large-v3
apache-2.0
us
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Whisper large - Noc Operation
This model is a fine-tuned version of
biodatlab/whisper-th-large-v3
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4602
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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use paged_adamw_8bit 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
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.686
0.0631
25
0.4941
0.6964
0.1263
50
0.4734
0.6619
0.1894
75
0.4635
0.5732
0.2525
100
0.4602
Framework versions
PEFT 0.17.0
Transformers 4.48.0
Pytorch 2.7.1+cu128
Datasets 3.6.0
Tokenizers 0.21.4
