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journals2-llama3.2-3b-lora-adapter – AI Model by HaiderKH | AlphaNeural AI
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HaiderKH
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journals2-llama3.2-3b-lora-adapter
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peft
tensorboard
safetensors
trl
sft
unsloth
generated_from_trainer
llama3.2
us
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journals2-llama3.2-3b-lora-adapter
This model is a fine-tuned version of
unsloth/llama-3.2-3b-bnb-4bit
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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 60
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.13.0
Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
