nagarajuthirupathi/indoor_window_detection
04
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output1
This model is a fine-tuned version of nagarajuthirupathi/window_detection_model on the nagarajuthirupathi/indoorwindowdetection_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
- trainbatchsize: 4
- evalbatchsize: 4
- seed: 42
- gradientaccumulationsteps: 2
- totaltrainbatch_size: 8
- optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: constant
- num_epochs: 50.0
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1