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multi-practice-fine-tuning-kullm-adapter – AI Model by uine | AlphaNeural AI
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uine
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multi-practice-fine-tuning-kullm-adapter
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peft
safetensors
trl
sft
generated_from_trainer
nlpai-lab/KULLM3
adapter
apache-2.0
us
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This model is a fine-tuned version of
nlpai-lab/KULLM3
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.19.0
Tokenizers 0.15.2
