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pali-wpn-detector – AI Model by collinparan | AlphaNeural AI
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collinparan
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pali-wpn-detector
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peft
tensorboard
safetensors
adapter
lora
transformers
text-generation
google/paligemma2-3b-pt-448
gemma
us
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pali-wpn-detector
This model is a fine-tuned version of
google/paligemma2-3b-pt-448
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 12.4661
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: 2
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
12.4557
2.8791
100
12.4661
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
