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ViT-Base-Document-Classifier

amaye15 / ViT-Base-Document-Classifier

Run on huggingface.co
huggingface.co
Total runs: 10
24-hour runs: -2
7-day runs: -1
30-day runs: 1
Model's Last Updated: April 13 2024
image-classification

Introduction of ViT-Base-Document-Classifier

Model Details of ViT-Base-Document-Classifier

ViT-Base-Document-Classifier

This model is a fine-tuned version of google/vit-base-patch16-224 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0415
  • Accuracy: 0.9889
  • F1: 0.9888
  • Precision: 0.9888
  • Recall: 0.9888
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: 5e-05
  • train_batch_size: 512
  • eval_batch_size: 512
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 2048
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 100
Training results
Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
0.0696 1.25 50 0.0566 0.9852 0.9851 0.9852 0.9852
0.0673 2.0 51 0.0549 0.9870 0.9870 0.9870 0.9870
0.0599 2.02 52 0.0545 0.9864 0.9863 0.9863 0.9864
0.0639 2.02 53 0.0551 0.9876 0.9875 0.9875 0.9875
0.0694 2.04 54 0.0539 0.9864 0.9863 0.9863 0.9864
0.0655 2.04 55 0.0528 0.9879 0.9878 0.9878 0.9879
0.0629 2.06 56 0.0519 0.9877 0.9876 0.9876 0.9876
0.0761 2.06 57 0.0532 0.9872 0.9871 0.9871 0.9871
0.0741 2.08 58 0.0524 0.9865 0.9864 0.9864 0.9865
0.0585 2.08 59 0.0519 0.9879 0.9878 0.9878 0.9878
0.0534 2.1 60 0.0504 0.9881 0.9880 0.9880 0.9880
0.056 2.1 61 0.0497 0.9876 0.9875 0.9875 0.9875
0.0588 2.12 62 0.0485 0.9878 0.9877 0.9877 0.9877
0.0554 2.12 63 0.0482 0.9872 0.9871 0.9871 0.9872
0.0674 2.13 64 0.0491 0.9870 0.9870 0.9870 0.9869
0.0613 2.15 65 0.0480 0.9877 0.9876 0.9876 0.9876
0.0688 2.15 66 0.0468 0.9877 0.9876 0.9876 0.9876
0.0677 2.17 67 0.0476 0.9874 0.9874 0.9873 0.9874
0.0598 2.17 68 0.0471 0.9874 0.9873 0.9873 0.9873
0.0658 2.19 69 0.0462 0.9877 0.9876 0.9876 0.9876
0.051 2.19 70 0.0467 0.9880 0.9879 0.9879 0.9879
0.0601 2.21 71 0.0456 0.9881 0.9880 0.9880 0.9880
0.0619 2.21 72 0.0460 0.9879 0.9878 0.9878 0.9879
0.0459 2.23 73 0.0458 0.9883 0.9882 0.9882 0.9883
0.0705 2.23 74 0.0447 0.9884 0.9883 0.9883 0.9883
0.0606 2.25 75 0.0447 0.9878 0.9878 0.9878 0.9878
0.0599 3.0 76 0.0441 0.9887 0.9886 0.9887 0.9886
0.0489 3.01 77 0.0438 0.9886 0.9885 0.9885 0.9885
0.0533 3.02 78 0.0442 0.9883 0.9882 0.9882 0.9883
0.0573 3.03 79 0.0438 0.9880 0.9879 0.9879 0.9880
0.0622 3.04 80 0.0439 0.9886 0.9885 0.9885 0.9885
0.0625 3.05 81 0.0434 0.9881 0.9880 0.9880 0.9880
0.0577 3.06 82 0.0431 0.9886 0.9885 0.9885 0.9885
0.0688 3.07 83 0.0435 0.9887 0.9886 0.9886 0.9887
0.0478 3.08 84 0.0434 0.9889 0.9888 0.9888 0.9888
0.0516 3.09 85 0.0436 0.9888 0.9887 0.9887 0.9887
0.0588 3.1 86 0.0426 0.9889 0.9888 0.9888 0.9888
0.0563 3.11 87 0.0422 0.9889 0.9888 0.9888 0.9888
0.0463 3.12 88 0.0422 0.9886 0.9886 0.9885 0.9886
0.0582 3.13 89 0.0421 0.9887 0.9886 0.9886 0.9887
0.0643 3.14 90 0.0419 0.9891 0.9890 0.9890 0.9891
0.0706 3.15 91 0.0417 0.9892 0.9891 0.9891 0.9891
0.0554 3.16 92 0.0417 0.9892 0.9891 0.9891 0.9891
0.0644 3.17 93 0.0416 0.9890 0.9890 0.9890 0.9890
0.0624 3.18 94 0.0415 0.9893 0.9892 0.9892 0.9892
0.0555 3.19 95 0.0416 0.9886 0.9886 0.9885 0.9886
0.0507 3.2 96 0.0415 0.9889 0.9888 0.9888 0.9888
0.0443 3.21 97 0.0415 0.9889 0.9888 0.9888 0.9888
0.0527 3.22 98 0.0415 0.9889 0.9888 0.9888 0.9888
0.0589 3.23 99 0.0415 0.9889 0.9888 0.9888 0.9888
0.0647 3.24 100 0.0415 0.9889 0.9888 0.9888 0.9888
Framework versions
  • Transformers 4.39.3
  • Pytorch 2.2.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of amaye15 ViT-Base-Document-Classifier on huggingface.co

10
Total runs
-2
24-hour runs
-1
3-day runs
-1
7-day runs
1
30-day runs

More Information About ViT-Base-Document-Classifier huggingface.co Model

More ViT-Base-Document-Classifier license Visit here:

https://choosealicense.com/licenses/apache-2.0

ViT-Base-Document-Classifier huggingface.co

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ViT-Base-Document-Classifier huggingface.co Url

https://huggingface.co/amaye15/ViT-Base-Document-Classifier

amaye15 ViT-Base-Document-Classifier online free

ViT-Base-Document-Classifier huggingface.co is an online trial and call api platform, which integrates ViT-Base-Document-Classifier's modeling effects, including api services, and provides a free online trial of ViT-Base-Document-Classifier, you can try ViT-Base-Document-Classifier online for free by clicking the link below.

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https://huggingface.co/amaye15/ViT-Base-Document-Classifier

ViT-Base-Document-Classifier install

ViT-Base-Document-Classifier is an open source model from GitHub that offers a free installation service, and any user can find ViT-Base-Document-Classifier on GitHub to install. At the same time, huggingface.co provides the effect of ViT-Base-Document-Classifier install, users can directly use ViT-Base-Document-Classifier installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

ViT-Base-Document-Classifier install url in huggingface.co:

https://huggingface.co/amaye15/ViT-Base-Document-Classifier

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ViT-Base-Document-Classifier huggingface.co Url

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