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roadwork-vit

aceini / roadwork-vit

Run on huggingface.co
huggingface.co
Total runs: 0
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: March 04 2026
image-classification

Introduction of roadwork-vit

Model Details of roadwork-vit

roadwork-vit

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

  • Loss: 0.1731
  • Accuracy: 0.9708
  • Mcc: 0.8318
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: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 20
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy Mcc
0.365 1.0 196 0.1115 0.9687 0.8182
0.3049 2.0 392 0.1064 0.9708 0.8317
0.2432 3.0 588 0.1064 0.9678 0.8128
0.2447 4.0 784 0.1030 0.9721 0.8397
0.2175 5.0 980 0.0986 0.9800 0.8868
0.2015 6.0 1176 0.1249 0.9708 0.8320
0.1858 7.0 1372 0.1153 0.9726 0.8426
0.1604 8.0 1568 0.1003 0.9774 0.8727
0.1727 9.0 1764 0.1201 0.9704 0.8292
0.1451 10.0 1960 0.1308 0.9748 0.8558
0.1173 11.0 2156 0.1475 0.9726 0.8427
0.1076 12.0 2352 0.1384 0.9756 0.8610
0.1007 13.0 2548 0.1458 0.9787 0.8791
0.1044 14.0 2744 0.1433 0.9726 0.8424
0.0916 15.0 2940 0.1674 0.9708 0.8318
0.0904 16.0 3136 0.1669 0.9708 0.8318
0.0944 17.0 3332 0.1665 0.9691 0.8211
0.0734 18.0 3528 0.2024 0.9674 0.8105
0.0799 19.0 3724 0.1817 0.9687 0.8184
0.054 20.0 3920 0.1731 0.9708 0.8318
Framework versions
  • Transformers 4.45.2
  • Pytorch 2.12.0.dev20260302+cu128
  • Datasets 3.6.0
  • Tokenizers 0.20.3

Runs of aceini roadwork-vit on huggingface.co

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

More Information About roadwork-vit huggingface.co Model

More roadwork-vit license Visit here:

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

roadwork-vit huggingface.co

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

roadwork-vit huggingface.co Url

https://huggingface.co/aceini/roadwork-vit

aceini roadwork-vit online free

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

aceini roadwork-vit online free url in huggingface.co:

https://huggingface.co/aceini/roadwork-vit

roadwork-vit install

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

roadwork-vit install url in huggingface.co:

https://huggingface.co/aceini/roadwork-vit

Url of roadwork-vit

roadwork-vit huggingface.co Url

Provider of roadwork-vit huggingface.co

aceini
ORGANIZATIONS
huggingface.co

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