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paligemma2_object_detection – AI Model by terrian | AlphaNeural AI

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terrian/
paligemma2_object_detection

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0

generated_from_trainer

google/paligemma2-3b-pt-448

text-generation-inference

endpoints_compatible

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paligemma2_object_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: 2e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_HF 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: 16

Training results

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Tokenizers 0.21.0