vuongnhathien / vit-base-25ep

huggingface.co
Total runs: 2
24-hour runs: 0
7-day runs: 1
30-day runs: -2
Model's Last Updated: May 22 2024
image-classification

Introduction of vit-base-25ep

Model Details of vit-base-25ep

vit-base-25ep

This model is a fine-tuned version of google/vit-base-patch16-224 on the vuongnhathien/30VNFoods dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5506
  • Accuracy: 0.8486
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: 0.0003
  • train_batch_size: 64
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 25
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.6167 1.0 275 0.5712 0.8354
0.3183 2.0 550 0.5564 0.8406
0.1729 3.0 825 0.5955 0.8433
0.139 4.0 1100 0.6453 0.8406
0.0775 5.0 1375 0.6044 0.8517
0.0784 6.0 1650 0.7265 0.8414
0.0502 7.0 1925 0.6977 0.8533
0.0525 8.0 2200 0.7100 0.8549
0.0311 9.0 2475 0.7423 0.8525
0.026 10.0 2750 0.7901 0.8461
0.0183 11.0 3025 0.7261 0.8592
0.0218 12.0 3300 0.8014 0.8485
0.0135 13.0 3575 0.7391 0.8584
0.0066 14.0 3850 0.6938 0.8740
0.0047 15.0 4125 0.6765 0.8815
0.0052 16.0 4400 0.6611 0.8839
0.0033 17.0 4675 0.6794 0.8803
0.0037 18.0 4950 0.6724 0.8811
0.0026 19.0 5225 0.6759 0.8875
0.0031 20.0 5500 0.6699 0.8855
0.0028 21.0 5775 0.6720 0.8847
0.0029 22.0 6050 0.6746 0.8843
0.0016 23.0 6325 0.6731 0.8859
0.0016 24.0 6600 0.6759 0.8859
0.0019 25.0 6875 0.6767 0.8847
Framework versions
  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of vuongnhathien vit-base-25ep on huggingface.co

2
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
-2
30-day runs

More Information About vit-base-25ep huggingface.co Model

More vit-base-25ep license Visit here:

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

vit-base-25ep huggingface.co

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vuongnhathien vit-base-25ep online free

vit-base-25ep huggingface.co is an online trial and call api platform, which integrates vit-base-25ep's modeling effects, including api services, and provides a free online trial of vit-base-25ep, you can try vit-base-25ep online for free by clicking the link below.

vuongnhathien vit-base-25ep online free url in huggingface.co:

https://huggingface.co/vuongnhathien/vit-base-25ep

vit-base-25ep install

vit-base-25ep is an open source model from GitHub that offers a free installation service, and any user can find vit-base-25ep on GitHub to install. At the same time, huggingface.co provides the effect of vit-base-25ep install, users can directly use vit-base-25ep installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

vit-base-25ep install url in huggingface.co:

https://huggingface.co/vuongnhathien/vit-base-25ep

Url of vit-base-25ep

Provider of vit-base-25ep huggingface.co

vuongnhathien
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