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sam1120/
parking-utcustom-train-SF-RGBD-b0_2

Name: parking-utcustom-train-SF-RGBD-b0_2
Availability: InStock

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parking-utcustom-train-SF-RGBD-b0_2

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: 0.1376
Mean Iou: 0.4738
Mean Accuracy: 0.9476
Overall Accuracy: 0.9476
Accuracy Unlabeled: nan
Accuracy Parking: nan
Accuracy Unparking: 0.9476
Iou Unlabeled: nan
Iou Parking: 0.0
Iou Unparking: 0.9476

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: 0.0002
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
0.5832	20.0	20	0.5894	1.0	1.0	1.0	nan	nan	1.0	nan	nan	1.0
0.3162	40.0	40	0.2686	1.0	1.0	1.0	nan	nan	1.0	nan	nan	1.0
0.2152	60.0	60	0.1349	1.0	1.0	1.0	nan	nan	1.0	nan	nan	1.0
0.1517	80.0	80	0.0822	1.0	1.0	1.0	nan	nan	1.0	nan	nan	1.0
0.1293	100.0	100	0.0609	1.0	1.0	1.0	nan	nan	1.0	nan	nan	1.0
0.0935	120.0	120	0.0711	0.4978	0.9956	0.9956	nan	nan	0.9956	nan	0.0	0.9956
0.0835	140.0	140	0.1376	0.4738	0.9476	0.9476	nan	nan	0.9476	nan	0.0	0.9476

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3

sam1120/parking-utcustom-train-SF-RGBD-b0_2

parking-utcustom-train-SF-RGBD-b0_2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sam1120/
parking-utcustom-train-SF-RGBD-b0_2