segformer-b0-finetuned-segments-water-2

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

• Loss: 0.5845
• Mean Iou: nan
• Mean Accuracy: nan
• Overall Accuracy: nan
• Per Category Iou: [nan, nan]
• Per Category Accuracy: [nan, nan]

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Per Category Iou	Per Category Accuracy
0.5241	6.67	20	0.5845	nan	nan	nan	[nan, nan]	[nan, nan]

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1