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Llama-3.2-3B-prune-40-ft – AI Model by Hsianchengfun | AlphaNeural AI
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Llama-3.2-3B-prune-40-ft
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peft
safetensors
trl
sft
unsloth
generated_from_trainer
Hsianchengfun/pruned40-llama-3b-st
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Llama-3.2-3B-prune-40-ft
This model is a fine-tuned version of
Hsianchengfun/pruned40-llama-3b-st
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: 5e-06
train_batch_size: 16
eval_batch_size: 64
seed: 3407
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Use adamw_8bit 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: 1000
Training results
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
