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paligemma2-448-parasitic-egg-detection – AI Model by EricChan1122 | AlphaNeural AI
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EricChan1122
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paligemma2-448-parasitic-egg-detection
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peft
tensorboard
safetensors
adapter
lora
transformers
text-generation
google/paligemma2-3b-pt-448
gemma
us
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paligemma2-448-parasitic-egg-detection
This model is a fine-tuned version of
google/paligemma2-3b-pt-448
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: 0.0002
train_batch_size: 3
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 24
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: 5
Training results
Framework versions
PEFT 0.19.1
Transformers 5.7.0
Pytorch 2.8.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
