Lit4pCol4b/segformer-b1-finetuned-ade-512-512_segformer_ADE20k_RGB_IS_v1

• Train Loss: nan
• Validation Loss: nan
• Validation Mean Iou: 0.8984
• Validation Mean Accuracy: 1.0
• Validation Overall Accuracy: 1.0
• Validation Accuracy Unlabeled: 1.0
• Validation Accuracy Objeto Interes: nan
• Validation Accuracy Agua: nan
• Validation Iou Unlabeled: 0.8984
• Validation Iou Objeto Interes: nan
• Validation Iou Agua: nan
• Epoch: 1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• 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': 6e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Framework versions

• Transformers 4.35.2
• TensorFlow 2.15.0
• Datasets 2.16.1
• Tokenizers 0.15.0