metadata
library_name: transformers
license: apache-2.0
base_model: mukesh3444/window_detection_model
tags:
- image-segmentation
- instance-segmentation
- vision
- generated_from_trainer
model-index:
- name: output1
results: []
output1
This model is a fine-tuned version of mukesh3444/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