bhaskarSingha/segformer-finetuned-paddyV1

This model is a fine-tuned version of nvidia/segformer-b0-finetuned-ade-512-512 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: nan
• Validation Loss: nan
• Validation Mean Iou: 0.0004
• Validation Mean Accuracy: 0.5
• Validation Overall Accuracy: 0.1499
• Validation Accuracy Healthy: 1.0
• Validation Accuracy Brownspot: 0.0
• Validation Accuracy Leafblast: nan
• Validation Iou Healthy: 0.0009
• Validation Iou Brownspot: 0.0
• Validation Iou Leafblast: nan
• Epoch: 2

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:

• optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'CosineDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1000, 'alpha': 0.0, 'name': 'CosineDecay', 'warmup_target': 5e-05, 'warmup_steps': 100}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Validation Mean Iou	Validation Mean Accuracy	Validation Overall Accuracy	Validation Accuracy Healthy	Validation Accuracy Brownspot	Validation Accuracy Leafblast	Validation Iou Healthy	Validation Iou Brownspot	Validation Iou Leafblast	Epoch
nan	nan	0.0004	0.5	0.1499	1.0	0.0	nan	0.0009	0.0	nan	0
nan	nan	0.0004	0.5	0.1499	1.0	0.0	nan	0.0009	0.0	nan	1
nan	nan	0.0004	0.5	0.1499	1.0	0.0	nan	0.0009	0.0	nan	2

Framework versions

• Transformers 4.40.2
• TensorFlow 2.15.0
• Datasets 2.15.0
• Tokenizers 0.19.1