--- library_name: transformers license: other base_model: nvidia/mit-b0 tags: - vision - image-segmentation - generated_from_trainer model-index: - name: custom-object-test3 results: [] --- # custom-object-test3 This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the sungile/custom-object-masking3 dataset. It achieves the following results on the evaluation set: - Loss: 0.6728 - Mean Iou: nan - Mean Accuracy: nan - Overall Accuracy: nan - Accuracy Unknown: nan - Accuracy Background: nan - Accuracy Object: nan - Iou Unknown: nan - Iou Background: nan - Iou Object: nan ## 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: 6e-05 - train_batch_size: 2 - eval_batch_size: 2 - seed: 42 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unknown | Accuracy Background | Accuracy Object | Iou Unknown | Iou Background | Iou Object | |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:----------------:|:-------------------:|:---------------:|:-----------:|:--------------:|:----------:| | 1.4981 | 0.25 | 20 | 1.5526 | nan | nan | nan | nan | nan | nan | nan | nan | nan | | 1.2809 | 0.5 | 40 | 1.4961 | nan | nan | nan | nan | nan | nan | nan | nan | nan | | 1.025 | 0.75 | 60 | 1.3031 | nan | nan | nan | nan | nan | nan | nan | nan | nan | | 0.9376 | 1.0 | 80 | 0.9104 | nan | nan | nan | nan | nan | nan | nan | nan | nan | | 0.8413 | 1.25 | 100 | 0.8012 | nan | nan | nan | nan | nan | nan | nan | nan | nan | | 0.7648 | 1.5 | 120 | 0.7258 | nan | nan | nan | nan | nan | nan | nan | nan | nan | | 0.7118 | 1.75 | 140 | 0.7015 | nan | nan | nan | nan | nan | nan | nan | nan | nan | | 0.6699 | 2.0 | 160 | 0.6728 | nan | nan | nan | nan | nan | nan | nan | nan | nan | ### Framework versions - Transformers 4.47.1 - Pytorch 2.1.0+cu118 - Datasets 3.2.0 - Tokenizers 0.21.0