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llama3.2-3B-ft-reasoning – AI Model by RayBernard | AlphaNeural AI
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RayBernard
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llama3.2-3B-ft-reasoning
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peft
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-3.2-3B-Instruct
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llama3.2
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llama3.2-3B-ft-reasoning
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: 2e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use adamw_torch 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
training_steps: 1250
mixed_precision_training: Native AMP
Framework versions
PEFT 0.14.0
Transformers 4.46.3
Pytorch 2.5.1+xpu
Datasets 3.2.0
Tokenizers 0.20.3
