CoolFace
Modelpublic

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

sourceHugging Faceotherupdated 3y agoView on Hugging Face
0likes14downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

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
  • —trainbatchsize: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 50

Training results

Training LossEpochStepValidation LossMean IouMean AccuracyOverall AccuracyAccuracy Missing-puzzleIou Missing-puzzle
0.49875.0200.63230.0nannannan0.0
0.38810.0400.47340.0nannannan0.0
0.301415.0600.36310.0nannannan0.0
0.317920.0800.34050.0nannannan0.0
0.296325.01000.26960.0nannannan0.0
0.245830.01200.28030.0nannannan0.0
0.275735.01400.26350.0nannannan0.0
0.251940.01600.25220.0nannannan0.0
0.234945.01800.24740.0nannannan0.0
0.21250.02000.24580.0nannannan0.0

Framework versions

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