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paligemma_residencia_vqav2 – AI Model by PessoniHugo | AlphaNeural AI
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PessoniHugo
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paligemma_residencia_vqav2
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peft
safetensors
adapter
lora
transformers
text-generation
google/paligemma-3b-ft-vqav2-448
gemma
us
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paligemma_residencia_vqav2
This model is a fine-tuned version of
google/paligemma-3b-ft-vqav2-448
on the None 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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
num_epochs: 2
Training results
Framework versions
PEFT 0.17.1
Transformers 5.0.0.dev0
Pytorch 2.8.0+cu128
Datasets 4.2.0
Tokenizers 0.22.1
