Edit model card

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
Downloads last month
21
Safetensors
Model size
86.8M params
Tensor type
I64
·
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train davanstrien/autotrain-mapreader-5000-40830105612