ahishamm / vit-base-HAM-10000-patch-32

huggingface.co
Total runs: 7
24-hour runs: 0
7-day runs: -1
30-day runs: 3
Model's Last Updated: June 27 2023
image-classification

Introduction of vit-base-HAM-10000-patch-32

Model Details of vit-base-HAM-10000-patch-32

vit-base-HAM-10000-patch-32

This model is a fine-tuned version of google/vit-base-patch32-224-in21k on the ahishamm/HAM_db dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5210
  • Accuracy: 0.8040
  • Recall: 0.8040
  • F1: 0.8040
  • Precision: 0.8040
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: 0.0002
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4
Training results
Training Loss Epoch Step Validation Loss Accuracy Recall F1 Precision
0.7 0.2 100 0.7878 0.7307 0.7307 0.7307 0.7307
0.8248 0.4 200 0.7338 0.7476 0.7476 0.7476 0.7476
0.6647 0.6 300 0.6417 0.7541 0.7541 0.7541 0.7541
0.6755 0.8 400 0.6682 0.7576 0.7576 0.7576 0.7576
0.7443 1.0 500 0.6037 0.7890 0.7890 0.7890 0.7890
0.5316 1.2 600 0.5963 0.7915 0.7915 0.7915 0.7915
0.4404 1.4 700 0.5626 0.7955 0.7955 0.7955 0.7955
0.4431 1.6 800 0.5719 0.8005 0.8005 0.8005 0.8005
0.5011 1.8 900 0.5581 0.7880 0.7880 0.7880 0.7880
0.4692 2.0 1000 0.5210 0.8040 0.8040 0.8040 0.8040
0.2648 2.2 1100 0.5776 0.8070 0.8070 0.8070 0.8070
0.2723 2.4 1200 0.5317 0.8180 0.8180 0.8180 0.8180
0.2325 2.59 1300 0.5223 0.8170 0.8170 0.8170 0.8170
0.2547 2.79 1400 0.5314 0.8244 0.8244 0.8244 0.8244
0.146 2.99 1500 0.5583 0.8274 0.8274 0.8274 0.8274
0.1224 3.19 1600 0.5960 0.8289 0.8289 0.8289 0.8289
0.0313 3.39 1700 0.6081 0.8304 0.8304 0.8304 0.8304
0.104 3.59 1800 0.5770 0.8339 0.8339 0.8339 0.8339
0.0538 3.79 1900 0.5364 0.8464 0.8464 0.8464 0.8464
0.0827 3.99 2000 0.5414 0.8454 0.8454 0.8454 0.8454
Framework versions
  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3

Runs of ahishamm vit-base-HAM-10000-patch-32 on huggingface.co

7
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
3
30-day runs

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