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llama3.2-3b-wikitext-lora – AI Model by Willy0921 | AlphaNeural AI
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Willy0921
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llama3.2-3b-wikitext-lora
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peft
safetensors
generated_from_trainer
meta-llama/Llama-3.2-3B-Instruct
adapter
llama3.2
us
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llama3.2-3b-wikitext-lora
This model is a fine-tuned version of
meta-llama/Llama-3.2-3B-Instruct
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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_BNB 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: 30
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.15.2
Transformers 4.52.3
Pytorch 2.5.1+cu121
Datasets 3.6.0
Tokenizers 0.21.1
