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paligemma_vqav2 – AI Model by Liu-Xiang | AlphaNeural AI

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Liu-Xiang/
paligemma_vqav2

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google/paligemma-3b-pt-224

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paligemma_vqav2

This model is a fine-tuned version of google/paligemma-3b-pt-224 on the vq_av2 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 2

Training results

Framework versions

PEFT 0.8.2
Transformers 4.45.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.20.0
Tokenizers 0.19.1