mit-b0_whitefly – AI Model by mujerry | AlphaNeural AI

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mit-b0_whitefly

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mit-b0_whitefly

This model is a fine-tuned version of nvidia/mit-b0 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2644
Mean Iou: 0.4948
Mean Accuracy: 0.4968
Overall Accuracy: 0.9893
Accuracy Background: 0.9907
Accuracy Whitefly: 0.0029
Iou Background: 0.9893
Iou Whitefly: 0.0004

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Background	Accuracy Whitefly	Iou Background	Iou Whitefly
0.6275	0.4	20	0.6849	0.3529	0.4550	0.7049	0.7056	0.2044	0.7048	0.0010
0.4423	0.8	40	0.5826	0.4745	0.5157	0.9468	0.9480	0.0834	0.9468	0.0022
0.3793	1.2	60	0.4444	0.4868	0.4927	0.9731	0.9744	0.0110	0.9731	0.0006
0.3102	1.6	80	0.3347	0.4976	0.4986	0.9949	0.9963	0.0009	0.9949	0.0002
0.272	2.0	100	0.3100	0.4983	0.4991	0.9963	0.9977	0.0004	0.9963	0.0002
0.3003	2.4	120	0.2579	0.4983	0.4991	0.9965	0.9979	0.0003	0.9965	0.0001
0.2558	2.8	140	0.2644	0.4948	0.4968	0.9893	0.9907	0.0029	0.9893	0.0004

Framework versions

Transformers 4.44.1
Pytorch 2.6.0+cpu
Datasets 2.21.0
Tokenizers 0.19.1