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paligemma2-3b-vizwiz-qlora-test2k – AI Model by yu3733 | AlphaNeural AI
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yu3733
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paligemma2-3b-vizwiz-qlora-test2k
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peft
tensorboard
safetensors
generated_from_trainer
google/paligemma2-3b-mix-224
adapter
gemma
us
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paligemma2-3b-vizwiz-qlora-test2k
This model is a fine-tuned version of
google/paligemma2-3b-mix-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: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
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: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
