| license: apache-2.0 | |
| tags: | |
| - image-segmentation | |
| - vision | |
| - generated_from_trainer | |
| widget: | |
| - src: https://segmentsai-prod.s3.eu-west-2.amazonaws.com/assets/admin-tobias/439f6843-80c5-47ce-9b17-0b2a1d54dbeb.jpg | |
| example_title: Brugge | |
| base_model: nvidia/mit-b0 | |
| model-index: | |
| - name: segformer-trainer-test | |
| 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-trainer-test | |
| This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the segments/sidewalk-semantic dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.3886 | |
| - Mean Iou: 0.1391 | |
| - Mean Accuracy: 0.1905 | |
| - Overall Accuracy: 0.7192 | |
| ## 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: 5e-05 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 10.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.19.0.dev0 | |
| - Pytorch 1.11.0+cu113 | |
| - Datasets 2.0.0 | |
| - Tokenizers 0.11.6 | |