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paligemma2_instance_segmentation – AI Model by jithinibosonreg | AlphaNeural AI

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jithinibosonreg/
paligemma2_instance_segmentation

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generated_from_trainer

google/paligemma2-3b-pt-224

text-generation-inference

endpoints_compatible

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paligemma2_instance_segmentation

This model is a fine-tuned version of google/paligemma2-3b-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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
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: 32

Training results

Framework versions

Transformers 4.47.0
Pytorch 2.4.1+cu124
Tokenizers 0.21.1