testing_303

This model is a fine-tuned version of mividia/mit-b2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0
• Mean Iou: nan
• Mean Accuracy: nan
• Overall Accuracy: nan
• Accuracy Wht: nan
• Iou Wht: 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: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Wht	Iou Wht
0.0	1.0	270	0.0	nan	nan	nan	nan	nan

Framework versions

• Transformers 4.33.3
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3