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paligemma_meter – AI Model by Dinesh462 | AlphaNeural AI
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Dinesh462
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paligemma_meter
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peft
tensorboard
safetensors
adapter
lora
transformers
text-generation
google/paligemma-3b-pt-224
gemma
us
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paligemma_meter
This model is a fine-tuned version of
google/paligemma-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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH 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 0.18.0
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.4.2
Tokenizers 0.22.1
