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results – AI Model by TransLearner | AlphaNeural AI
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TransLearner
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peft
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generated_from_trainer
meta-llama/Llama-3.2-11B-Vision-Instruct
adapter
llama3.2
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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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 100
Training results
Framework versions
PEFT 0.13.0
Transformers 4.45.1
Pytorch 2.4.0+cu121
Datasets 3.0.1
Tokenizers 0.20.1
