metadata
license: other
base_model: nvidia/mit-b0
tags:
- vision
- image-segmentation
- generated_from_trainer
model-index:
- name: segformer-b0-finetuned-segments-sidewalk-oct-22
results: []
segformer-b0-finetuned-segments-sidewalk-oct-22
This model is a fine-tuned version of nvidia/mit-b0 on the bricklerex/lane-detect dataset. It achieves the following results on the evaluation set:
- Loss: 0.0646
- Mean Iou: 0.4681
- Mean Accuracy: 0.9362
- Overall Accuracy: 0.9362
- Accuracy Unlabelled: nan
- Accuracy Lane: 0.9362
- Iou Unlabelled: 0.0
- Iou Lane: 0.9362
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabelled | Accuracy Lane | Iou Unlabelled | Iou Lane |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.0823 | 0.35 | 20 | 0.0933 | 0.4675 | 0.9349 | 0.9349 | nan | 0.9349 | 0.0 | 0.9349 |
| 0.0676 | 0.7 | 40 | 0.0737 | 0.4547 | 0.9093 | 0.9093 | nan | 0.9093 | 0.0 | 0.9093 |
| 0.0639 | 1.05 | 60 | 0.0659 | 0.4583 | 0.9166 | 0.9166 | nan | 0.9166 | 0.0 | 0.9166 |
| 0.0584 | 1.4 | 80 | 0.0831 | 0.4715 | 0.9429 | 0.9429 | nan | 0.9429 | 0.0 | 0.9429 |
| 0.0541 | 1.75 | 100 | 0.0646 | 0.4681 | 0.9362 | 0.9362 | nan | 0.9362 | 0.0 | 0.9362 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2