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sungile/
custom-object-test3

Name: custom-object-test3
Rating: 2.5 (9 reviews)

generated_from_trainer

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custom-object-test3

This model is a fine-tuned version of nvidia/mit-b0 on the sungile/custom-object-masking3 dataset. It achieves the following results on the evaluation set:

Loss: 0.6728
Mean Iou: nan
Mean Accuracy: nan
Overall Accuracy: nan
Accuracy Unknown: nan
Accuracy Background: nan
Accuracy Object: nan
Iou Unknown: nan
Iou Background: nan
Iou Object: nan

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Unknown	Accuracy Background	Accuracy Object	Iou Unknown	Iou Background	Iou Object
1.4981	0.25	20	1.5526	nan	nan	nan	nan	nan	nan	nan	nan	nan
1.2809	0.5	40	1.4961	nan	nan	nan	nan	nan	nan	nan	nan	nan
1.025	0.75	60	1.3031	nan	nan	nan	nan	nan	nan	nan	nan	nan
0.9376	1.0	80	0.9104	nan	nan	nan	nan	nan	nan	nan	nan	nan
0.8413	1.25	100	0.8012	nan	nan	nan	nan	nan	nan	nan	nan	nan
0.7648	1.5	120	0.7258	nan	nan	nan	nan	nan	nan	nan	nan	nan
0.7118	1.75	140	0.7015	nan	nan	nan	nan	nan	nan	nan	nan	nan
0.6699	2.0	160	0.6728	nan	nan	nan	nan	nan	nan	nan	nan	nan

Framework versions

Transformers 4.47.1
Pytorch 2.1.0+cu118
Datasets 3.2.0
Tokenizers 0.21.0

sungile/custom-object-test3

custom-object-test3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sungile/
custom-object-test3