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google-vit-base-patch16-384-batch_16_epoch_4_classes_24

ZaneHorrible / google-vit-base-patch16-384-batch_16_epoch_4_classes_24

Run on huggingface.co
huggingface.co
Total runs: 11
24-hour runs: 0
7-day runs: 1
30-day runs: 4
Model's Last Updated: May 14 2024
image-classification

Introduction of google-vit-base-patch16-384-batch_16_epoch_4_classes_24

Model Details of google-vit-base-patch16-384-batch_16_epoch_4_classes_24

google-vit-base-patch16-384-batch_16_epoch_4_classes_24

This model is a fine-tuned version of google/vit-base-patch16-384 on the bengali_food_images dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0635
  • Accuracy: 0.9899
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
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.2947 0.07 100 0.2491 0.9353
0.1703 0.14 200 0.2377 0.9339
0.0797 0.21 300 0.1413 0.9641
0.1035 0.28 400 0.1057 0.9641
0.0532 0.35 500 0.1711 0.9483
0.1004 0.42 600 0.1746 0.9526
0.0962 0.49 700 0.1598 0.9555
0.1579 0.56 800 0.1741 0.9440
0.0532 0.63 900 0.0974 0.9670
0.1594 0.7 1000 0.2842 0.9181
0.0488 0.77 1100 0.2928 0.9224
0.1122 0.84 1200 0.3095 0.9138
0.1252 0.91 1300 0.1411 0.9569
0.0517 0.97 1400 0.1378 0.9684
0.047 1.04 1500 0.2595 0.9483
0.0478 1.11 1600 0.1425 0.9583
0.0107 1.18 1700 0.1135 0.9684
0.0021 1.25 1800 0.1428 0.9598
0.036 1.32 1900 0.1851 0.9583
0.0733 1.39 2000 0.1801 0.9583
0.0549 1.46 2100 0.1917 0.9598
0.0442 1.53 2200 0.1538 0.9655
0.0196 1.6 2300 0.1411 0.9698
0.0809 1.67 2400 0.1862 0.9540
0.0004 1.74 2500 0.1325 0.9698
0.0404 1.81 2600 0.1246 0.9713
0.0691 1.88 2700 0.1961 0.9598
0.0088 1.95 2800 0.1841 0.9684
0.0029 2.02 2900 0.1057 0.9813
0.0005 2.09 3000 0.1131 0.9741
0.0001 2.16 3100 0.0892 0.9813
0.0002 2.23 3200 0.0757 0.9828
0.0186 2.3 3300 0.0794 0.9784
0.0127 2.37 3400 0.1100 0.9770
0.0048 2.44 3500 0.1386 0.9799
0.0048 2.51 3600 0.0635 0.9899
0.001 2.58 3700 0.0997 0.9799
0.0005 2.65 3800 0.1119 0.9756
0.0006 2.72 3900 0.1292 0.9713
0.0003 2.79 4000 0.1186 0.9770
0.0137 2.86 4100 0.0969 0.9770
0.0001 2.92 4200 0.0738 0.9842
0.0001 2.99 4300 0.1236 0.9828
0.0001 3.06 4400 0.0932 0.9856
0.0001 3.13 4500 0.0992 0.9799
0.0001 3.2 4600 0.0960 0.9828
0.0001 3.27 4700 0.1123 0.9799
0.0001 3.34 4800 0.1107 0.9813
0.0029 3.41 4900 0.1041 0.9842
0.0001 3.48 5000 0.1074 0.9828
0.0001 3.55 5100 0.1111 0.9799
0.0001 3.62 5200 0.1088 0.9784
0.0001 3.69 5300 0.0936 0.9813
0.0001 3.76 5400 0.0915 0.9799
0.0001 3.83 5500 0.0897 0.9799
0.0001 3.9 5600 0.0875 0.9770
0.0 3.97 5700 0.0856 0.9784
Framework versions
  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of ZaneHorrible google-vit-base-patch16-384-batch_16_epoch_4_classes_24 on huggingface.co

11
Total runs
0
24-hour runs
-1
3-day runs
1
7-day runs
4
30-day runs

More Information About google-vit-base-patch16-384-batch_16_epoch_4_classes_24 huggingface.co Model

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google-vit-base-patch16-384-batch_16_epoch_4_classes_24 install

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