| license: other | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: segformer-b0-DeepCrack | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # segformer-b0-DeepCrack | |
| This model is a fine-tuned version of [nvidia/mit-b4](https://huggingface.co/nvidia/mit-b4) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.4264 | |
| - Mean Iou: 0.1964 | |
| - Mean Accuracy: 0.3929 | |
| - Overall Accuracy: 0.3929 | |
| - Accuracy Background: nan | |
| - Accuracy Cracked: 0.3929 | |
| - Iou Background: 0.0 | |
| - Iou Cracked: 0.3929 | |
| ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Cracked | Iou Background | Iou Cracked | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:----------------:|:--------------:|:-----------:| | |
| | 0.5096 | 1.0 | 20 | 0.4264 | 0.1964 | 0.3929 | 0.3929 | nan | 0.3929 | 0.0 | 0.3929 | | |
| ### Framework versions | |
| - Transformers 4.30.2 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.13.1 | |
| - Tokenizers 0.13.3 | |