upernet-convnext-small-finetuned

This model is a fine-tuned version of openmmlab/upernet-convnext-small on the jpodivin/plantorgans dataset. It achieves the following results on the evaluation set:

• Loss: 0.2874
• Mean Iou: 0.4231
• Mean Accuracy: 0.5343
• Overall Accuracy: 0.7437
• Accuracy Void: nan
• Accuracy Fruit: 0.8642
• Accuracy Leaf: 0.7167
• Accuracy Flower: 0.0
• Accuracy Stem: 0.5563
• Iou Void: 0.0
• Iou Fruit: 0.8605
• Iou Leaf: 0.7108
• Iou Flower: 0.0
• Iou Stem: 0.5440
• Median Iou: 0.5440

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: 0.0006
• train_batch_size: 10
• eval_batch_size: 10
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Framework versions

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