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Model Trained Using AutoTrain

Image classification model trained to predict whether a patch of a historic map contains 'railspace' or not. See the dataset used for training for more information on the labels.

  • Problem type: Multi-class Classification
  • Model ID: 40830105612
  • CO2 Emissions (in grams): 0.0081

Validation Metrics

  • Loss: 0.038
  • Accuracy: 0.995
  • Macro F1: 0.983
  • Micro F1: 0.995
  • Weighted F1: 0.995
  • Macro Precision: 0.991
  • Micro Precision: 0.995
  • Weighted Precision: 0.995
  • Macro Recall: 0.975
  • Micro Recall: 0.995
  • Weighted Recall: 0.995
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Model size
86.8M params
Tensor type
I64
·
F32
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Dataset used to train davanstrien/autotrain-mapreader-5000-40830105612