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lora_Llama-3.2-11B-Vision-Instruct_nhn-vqa-dataset2_tmp – AI Model by genne | AlphaNeural AI
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genne
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lora_Llama-3.2-11B-Vision-Instruct_nhn-vqa-dataset2_tmp
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peft
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-3.2-11B-Vision-Instruct
adapter
llama3.2
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lora_Llama-3.2-11B-Vision-Instruct_nhn-vqa-dataset2
This model is a fine-tuned version of
meta-llama/Llama-3.2-11B-Vision-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: 1e-07
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 16
total_train_batch_size: 128
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0
Training results
Framework versions
PEFT 0.12.0
Transformers 4.45.1
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.20.0
