datadome-slider-b0-finetuned-segments-missing-puzzle-mar-1

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

  • Loss: 0.2458
  • Mean Iou: 0.0
  • Mean Accuracy: nan
  • Overall Accuracy: nan
  • Accuracy Missing-puzzle: nan
  • Iou Missing-puzzle: 0.0

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: 50

Training results

Training Loss Epoch Step Validation Loss Mean Iou Mean Accuracy Overall Accuracy Accuracy Missing-puzzle Iou Missing-puzzle
0.4987 5.0 20 0.6323 0.0 nan nan nan 0.0
0.388 10.0 40 0.4734 0.0 nan nan nan 0.0
0.3014 15.0 60 0.3631 0.0 nan nan nan 0.0
0.3179 20.0 80 0.3405 0.0 nan nan nan 0.0
0.2963 25.0 100 0.2696 0.0 nan nan nan 0.0
0.2458 30.0 120 0.2803 0.0 nan nan nan 0.0
0.2757 35.0 140 0.2635 0.0 nan nan nan 0.0
0.2519 40.0 160 0.2522 0.0 nan nan nan 0.0
0.2349 45.0 180 0.2474 0.0 nan nan nan 0.0
0.212 50.0 200 0.2458 0.0 nan nan nan 0.0

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2
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