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indoor_window_detection – AI Model by nagarajuthirupathi | AlphaNeural AI

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nagarajuthirupathi/
indoor_window_detection

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0

image-segmentation

instance-segmentation

generated_from_trainer

nagarajuthirupathi/window_detection_model

endpoints_compatible

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output1

This model is a fine-tuned version of nagarajuthirupathi/window_detection_model on the nagarajuthirupathi/indoor_window_detection_swf 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: 9.971930719778446e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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: constant
num_epochs: 50.0
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.21.1