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qwen3-pii-lora_adapters – AI Model by batouln | AlphaNeural AI
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batouln
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qwen3-pii-lora_adapters
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
silma-ai/SILMA-9B-Instruct-v1.0
gemma
us
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This model is a fine-tuned version of
silma-ai/SILMA-9B-Instruct-v1.0
on the None 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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use 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: 5
training_steps: 700
Training results
Framework versions
PEFT 0.16.0
Transformers 4.53.2
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.21.2
