baseline_plantorgans_model – AI Model by farmaieu | AlphaNeural AI

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baseline_plantorgans_model

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baseline_plantorgans_model

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

Loss: 0.5639
Mean Iou: 0.1095
Mean Accuracy: 0.1373
Overall Accuracy: 0.1858
Accuracy Void: nan
Accuracy Fruit: 0.5208
Accuracy Leaf: 0.0197
Accuracy Flower: 0.0
Accuracy Stem: 0.0087
Iou Void: 0.0
Iou Fruit: 0.5192
Iou Leaf: 0.0197
Iou Flower: 0.0
Iou Stem: 0.0087

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Void	Accuracy Fruit	Accuracy Leaf	Accuracy Flower	Accuracy Stem	Iou Void	Iou Fruit	Iou Leaf	Iou Flower	Iou Stem
0.8673	1.0	719	0.4827	0.1301	0.1639	0.2227	nan	0.6188	0.0271	0.0	0.0098	0.0	0.6135	0.0271	0.0	0.0098
0.4457	2.0	1438	0.5555	0.1130	0.1416	0.1927	nan	0.5224	0.0305	0.0	0.0135	0.0	0.5209	0.0305	0.0	0.0135
0.3272	3.0	2157	0.5639	0.1095	0.1373	0.1858	nan	0.5208	0.0197	0.0	0.0087	0.0	0.5192	0.0197	0.0	0.0087

Framework versions

Transformers 4.38.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0