KiViDrag / beans_ViT

huggingface.co
Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: -4
Model's Last Updated: May 16 2025
image-classification

Introduction of beans_ViT

Model Details of beans_ViT

beans_ViT

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

  • Loss: 1.2997
  • Accuracy: 0.7969
  • F1: 0.7991
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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 30
Training results
Training Loss Epoch Step Validation Loss Accuracy F1
No log 1.0 17 0.8693 0.6090 0.5953
No log 2.0 34 0.9652 0.6015 0.5977
No log 3.0 51 0.7178 0.6992 0.6927
No log 4.0 68 0.7488 0.6992 0.6955
No log 5.0 85 0.6517 0.7068 0.7070
No log 6.0 102 0.7816 0.6842 0.6541
No log 7.0 119 0.5014 0.7744 0.7733
No log 8.0 136 0.5321 0.7669 0.7680
No log 9.0 153 0.5985 0.7444 0.7457
No log 10.0 170 0.4675 0.8271 0.8274
No log 11.0 187 0.5750 0.7744 0.7576
No log 12.0 204 0.6617 0.7293 0.7066
No log 13.0 221 0.6396 0.7594 0.7577
No log 14.0 238 0.4302 0.8346 0.8352
No log 15.0 255 0.4018 0.8421 0.8427
No log 16.0 272 0.5673 0.7895 0.7883
No log 17.0 289 0.5037 0.8120 0.8097
No log 18.0 306 0.5939 0.8496 0.8487
No log 19.0 323 0.6590 0.8120 0.8111
No log 20.0 340 0.6060 0.8571 0.8559
No log 21.0 357 0.5806 0.8421 0.8418
No log 22.0 374 0.6180 0.8421 0.8414
No log 23.0 391 0.7707 0.7669 0.7633
No log 24.0 408 0.5440 0.8421 0.8418
No log 25.0 425 0.6596 0.8496 0.8497
No log 26.0 442 0.5393 0.8346 0.8342
No log 27.0 459 0.6320 0.8797 0.8795
No log 28.0 476 0.5903 0.8496 0.8507
No log 29.0 493 0.6826 0.8647 0.8644
0.3346 30.0 510 0.6493 0.8571 0.8567
Framework versions
  • Transformers 4.47.0
  • Pytorch 2.5.1+cu121
  • Datasets 3.3.1
  • Tokenizers 0.21.0

Runs of KiViDrag beans_ViT on huggingface.co

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

More Information About beans_ViT huggingface.co Model

More beans_ViT license Visit here:

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

beans_ViT huggingface.co

beans_ViT huggingface.co is an AI model on huggingface.co that provides beans_ViT's model effect (), which can be used instantly with this KiViDrag beans_ViT model. huggingface.co supports a free trial of the beans_ViT model, and also provides paid use of the beans_ViT. Support call beans_ViT model through api, including Node.js, Python, http.

KiViDrag beans_ViT online free

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

KiViDrag beans_ViT online free url in huggingface.co:

https://huggingface.co/KiViDrag/beans_ViT

beans_ViT install

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

beans_ViT install url in huggingface.co:

https://huggingface.co/KiViDrag/beans_ViT

Url of beans_ViT

beans_ViT huggingface.co Url

Provider of beans_ViT huggingface.co

KiViDrag
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