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paligemma_vqav2 – AI Model by rtylecek | AlphaNeural AI
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paligemma_vqav2
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peft
tensorboard
safetensors
adapter
lora
transformers
text-generation
google/paligemma2-3b-pt-224
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paligemma_vqav2
This model is a fine-tuned version of
google/paligemma2-3b-pt-224
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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: 4
num_epochs: 2
Training results
Framework versions
PEFT 0.16.0
Transformers 4.53.3
Pytorch 2.7.1+cu128
Datasets 4.0.0
Tokenizers 0.21.2
