vuongnhathien / vit-base-augment

huggingface.co
Total runs: 26
24-hour runs: 3
7-day runs: 9
30-day runs: 16
Model's Last Updated: May 24 2024
image-classification

Introduction of vit-base-augment

Model Details of vit-base-augment

vit-base-augment

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

  • Loss: 0.3257
  • Accuracy: 0.9143
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: 0.0001
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.678 1.0 275 0.5015 0.8624
0.4558 2.0 550 0.4184 0.8859
0.3474 3.0 825 0.3892 0.8907
0.2925 4.0 1100 0.3692 0.8974
0.2376 5.0 1375 0.3615 0.9034
0.1907 6.0 1650 0.3533 0.9046
0.1605 7.0 1925 0.3385 0.9133
0.138 8.0 2200 0.3296 0.9165
0.1288 9.0 2475 0.3323 0.9149
0.1415 10.0 2750 0.3319 0.9165
Framework versions
  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of vuongnhathien vit-base-augment on huggingface.co

26
Total runs
3
24-hour runs
7
3-day runs
9
7-day runs
16
30-day runs

More Information About vit-base-augment huggingface.co Model

More vit-base-augment license Visit here:

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

vit-base-augment huggingface.co

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

vuongnhathien vit-base-augment online free

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

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

https://huggingface.co/vuongnhathien/vit-base-augment

vit-base-augment install

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

vit-base-augment install url in huggingface.co:

https://huggingface.co/vuongnhathien/vit-base-augment

Url of vit-base-augment

Provider of vit-base-augment huggingface.co

vuongnhathien
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