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finetunedVLLM_paligemma_vqav2_small – AI Model by yuzhanghan1113 | AlphaNeural AI

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yuzhanghan1113/
finetunedVLLM_paligemma_vqav2_small

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google/paligemma-3b-pt-224

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finetunedVLLM_paligemma_vqav2_small

This model is a fine-tuned version of google/paligemma-3b-pt-224 on the imagefolder 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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.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
training_steps: 500

Training results

Framework versions

PEFT 0.14.0
Transformers 4.46.3
Pytorch 2.3.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3