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Llama-3.2-3B_gsm8k_qlora – AI Model by axel-datos | AlphaNeural AI
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axel-datos
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Llama-3.2-3B_gsm8k_qlora
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peft
tensorboard
safetensors
generated_from_trainer
customized
meta-llama/Llama-3.2-3B
adapter
llama3.2
us
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Llama-3.2-3B_gsm8k_qlora
This model is a fine-tuned version of
meta-llama/Llama-3.2-3B
on the customized 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: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 0.01
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.13.2
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3
