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sam1120/
parking-utcustom-train-SF-RGBD-b0_4

Name: parking-utcustom-train-SF-RGBD-b0_4
Availability: InStock

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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

sam1120/parking-utcustom-train-SF-RGBD-b0_4

parking-utcustom-train-SF-RGBD-b0_4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sam1120/
parking-utcustom-train-SF-RGBD-b0_4