metadata
license: other
tags:
- vision
- image-segmentation
- generated_from_trainer
model-index:
- name: parking-utcustom-train-SF-RGBD-b0_4
results: []
parking-utcustom-train-SF-RGBD-b0_4
This model is a fine-tuned version of nvidia/mit-b0 on the sam1120/parking-utcustom-train dataset. It achieves the following results on the evaluation set:
- Loss: 0.0255
- Mean Iou: 1.0
- Mean Accuracy: 1.0
- Overall Accuracy: 1.0
- Accuracy Unlabeled: nan
- Accuracy Parking: nan
- Accuracy Unparking: 1.0
- Iou Unlabeled: nan
- Iou Parking: nan
- Iou Unparking: 1.0
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: 0.0003
- 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
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 150
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabeled | Accuracy Parking | Accuracy Unparking | Iou Unlabeled | Iou Parking | Iou Unparking |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.544 | 20.0 | 20 | 0.4305 | 1.0 | 1.0 | 1.0 | nan | nan | 1.0 | nan | nan | 1.0 |
| 0.2353 | 40.0 | 40 | 0.1342 | 1.0 | 1.0 | 1.0 | nan | nan | 1.0 | nan | nan | 1.0 |
| 0.162 | 60.0 | 60 | 0.0678 | 1.0 | 1.0 | 1.0 | nan | nan | 1.0 | nan | nan | 1.0 |
| 0.1243 | 80.0 | 80 | 0.0400 | 1.0 | 1.0 | 1.0 | nan | nan | 1.0 | nan | nan | 1.0 |
| 0.0952 | 100.0 | 100 | 0.0226 | 1.0 | 1.0 | 1.0 | nan | nan | 1.0 | nan | nan | 1.0 |
| 0.0751 | 120.0 | 120 | 0.0235 | 1.0 | 1.0 | 1.0 | nan | nan | 1.0 | nan | nan | 1.0 |
| 0.0644 | 140.0 | 140 | 0.0255 | 1.0 | 1.0 | 1.0 | nan | nan | 1.0 | nan | nan | 1.0 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3