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lora – AI Model by yilin-wu | AlphaNeural AI
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yilin-wu
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lora
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peft
tensorboard
safetensors
generated_from_trainer
meta-llama/Llama-3.2-11B-Vision
adapter
llama3.2
us
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lora
This model is a fine-tuned version of
meta-llama/Llama-3.2-11B-Vision
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: 4
total_train_batch_size: 4
optimizer: Use adamw_hf 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: 2
num_epochs: 2
Training results
Framework versions
PEFT 0.13.2
Transformers 4.46.0
Pytorch 2.3.0+cu118
Datasets 3.1.0
Tokenizers 0.20.1
