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vit-base-1e-4-randaug

vuongnhathien / vit-base-1e-4-randaug

Run on huggingface.co
huggingface.co
Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: -3
Model's Last Updated: May 27 2024
image-classification

Introduction of vit-base-1e-4-randaug

Model Details of vit-base-1e-4-randaug

vit-base-1e-4-randaug

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: 0.3104
  • Accuracy: 0.9157
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
1.1301 1.0 275 0.5623 0.8485
0.7951 2.0 550 0.4347 0.8779
0.67 3.0 825 0.4100 0.8891
0.5883 4.0 1100 0.3799 0.8930
0.5076 5.0 1375 0.3572 0.9002
0.473 6.0 1650 0.3549 0.9026
0.4056 7.0 1925 0.3523 0.9066
0.387 8.0 2200 0.3339 0.9070
0.3529 9.0 2475 0.3329 0.9085
0.3713 10.0 2750 0.3309 0.9093
Framework versions
  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of vuongnhathien vit-base-1e-4-randaug on huggingface.co

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

More Information About vit-base-1e-4-randaug huggingface.co Model

More vit-base-1e-4-randaug license Visit here:

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

vit-base-1e-4-randaug huggingface.co

vit-base-1e-4-randaug huggingface.co is an AI model on huggingface.co that provides vit-base-1e-4-randaug's model effect (), which can be used instantly with this vuongnhathien vit-base-1e-4-randaug model. huggingface.co supports a free trial of the vit-base-1e-4-randaug model, and also provides paid use of the vit-base-1e-4-randaug. Support call vit-base-1e-4-randaug model through api, including Node.js, Python, http.

vit-base-1e-4-randaug huggingface.co Url

https://huggingface.co/vuongnhathien/vit-base-1e-4-randaug

vuongnhathien vit-base-1e-4-randaug online free

vit-base-1e-4-randaug huggingface.co is an online trial and call api platform, which integrates vit-base-1e-4-randaug's modeling effects, including api services, and provides a free online trial of vit-base-1e-4-randaug, you can try vit-base-1e-4-randaug online for free by clicking the link below.

vuongnhathien vit-base-1e-4-randaug online free url in huggingface.co:

https://huggingface.co/vuongnhathien/vit-base-1e-4-randaug

vit-base-1e-4-randaug install

vit-base-1e-4-randaug is an open source model from GitHub that offers a free installation service, and any user can find vit-base-1e-4-randaug on GitHub to install. At the same time, huggingface.co provides the effect of vit-base-1e-4-randaug install, users can directly use vit-base-1e-4-randaug installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

vit-base-1e-4-randaug install url in huggingface.co:

https://huggingface.co/vuongnhathien/vit-base-1e-4-randaug

Url of vit-base-1e-4-randaug

vit-base-1e-4-randaug huggingface.co Url

Provider of vit-base-1e-4-randaug huggingface.co

vuongnhathien
ORGANIZATIONS
huggingface.co

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