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paligemma2-qlora-st-vqa-estnamevqa-224 – AI Model by hassangpaul | AlphaNeural AI
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paligemma2-qlora-st-vqa-estnamevqa-224
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peft
tensorboard
safetensors
generated_from_trainer
google/paligemma2-3b-pt-224
adapter
gemma
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paligemma2-qlora-st-vqa-estnamevqa-224
This model is a fine-tuned version of
google/paligemma2-3b-pt-224
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.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: 2
num_epochs: 1
Training results
Framework versions
PEFT 0.14.0
Transformers 4.50.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.3.1
Tokenizers 0.21.0
