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farleyknight-org-username/roman-numerals-digit-classification

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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roman_numerals-digit-classification-2022-09-04

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the farleyknight/roman_numerals dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.7018
  • —Accuracy: 0.8333

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: 2e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5.0

Training results

Training LossEpochStepValidation LossAccuracy
1.90531.02891.36800.7132
1.27882.05780.94990.7966
1.12323.08670.86790.7279
1.03734.011560.73240.8088
0.96585.014450.70180.8333

Framework versions

  • —Transformers 4.22.0.dev0
  • —Pytorch 1.12.1+cu102
  • —Datasets 2.4.0
  • —Tokenizers 0.12.1