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printer_ai_lora_llama32_1b – AI Model by oguz7 | AlphaNeural AI
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printer_ai_lora_llama32_1b
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
llama3.2
us
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printer_ai_lora_llama32_1b
This model is a fine-tuned version of
unsloth/llama-3.2-1b-instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0436
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: 0.0003
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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: cosine
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 50
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1314
0.5
100
0.1281
0.0862
1.0
200
0.0874
0.0582
1.5
300
0.0572
0.0478
2.0
400
0.0459
0.0442
2.5
500
0.0443
0.0441
3.0
600
0.0436
Framework versions
PEFT 0.17.1
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
