You can deploy this model and start earning money today!

sam1120/
parking-utcustom-train-SF-RGB-b0_3

Name: parking-utcustom-train-SF-RGB-b0_3
Availability: InStock

generated_from_trainer

other

endpoints_compatible

Views

No views yet

parking-utcustom-train-SF-RGB-b0_3

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: 0.6640
Mean Iou: 0.3046
Mean Accuracy: 0.9138
Overall Accuracy: 0.9138
Accuracy Unlabeled: nan
Accuracy Parking: nan
Accuracy Unparking: 0.9138
Iou Unlabeled: 0.0
Iou Parking: 0.0
Iou Unparking: 0.9138

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: 3.5e-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
lr_scheduler_warmup_ratio: 0.05
num_epochs: 120

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Unlabeled	Accuracy Parking	Accuracy Unparking	Iou Unparking
1.0744	20.0	20	1.0527	0.2035	0.6104	0.6104	nan	nan	0.6104	0.6104
0.898	40.0	40	0.9525	0.2756	0.8267	0.8267	nan	nan	0.8267	0.8267
0.7959	60.0	60	0.8295	0.2804	0.8413	0.8413	nan	nan	0.8413	0.8413
0.7014	80.0	80	0.7152	0.3014	0.9041	0.9041	nan	nan	0.9041	0.9041
0.6723	100.0	100	0.6346	0.3125	0.9374	0.9374	nan	nan	0.9374	0.9374
0.6464	120.0	120	0.6640	0.3046	0.9138	0.9138	nan	nan	0.9138	0.9138

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3

sam1120/parking-utcustom-train-SF-RGB-b0_3

parking-utcustom-train-SF-RGB-b0_3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sam1120/
parking-utcustom-train-SF-RGB-b0_3