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llama3b-llamab8-er-afg-v48-seed2-hx-alpaca-instruct_lora – AI Model by giovannidemuri | AlphaNeural AI
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giovannidemuri
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llama3b-llamab8-er-afg-v48-seed2-hx-alpaca-instruct_lora
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peft
safetensors
generated_from_trainer
meta-llama/Llama-3.2-3B-Instruct
adapter
llama3.2
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llama3b-llamab8-er-afg-v48-seed2-hx-alpaca-instruct_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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 2
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.15.0
Transformers 4.52.4
Pytorch 2.7.1+cu128
Datasets 3.6.0
Tokenizers 0.21.2
