washing_20250811_120857

This model is a fine-tuned version of nvidia/mit-b5 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2762
• eval_accuracy: 0.9458
• eval_mean_iou: 0.8949
• eval_iou_invalid: 0.8792
• eval_dice_invalid: 0.9357
• eval_runtime: 89.7157
• eval_samples_per_second: 1.616
• eval_steps_per_second: 0.412
• epoch: 20.0
• step: 2160

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: 1e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 30
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.36.2
• Pytorch 2.8.0+cu128
• Datasets 2.21.0
• Tokenizers 0.15.2