vuongnhathien / convnext-base-3e-5

huggingface.co
Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: -2
Model's Last Updated: May 26 2024
image-classification

Introduction of convnext-base-3e-5

Model Details of convnext-base-3e-5

convnext-base-3e-5

This model is a fine-tuned version of facebook/convnextv2-base-22k-384 on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2406
  • Accuracy: 0.9391
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: 3e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • 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
0.4903 1.0 1099 0.3690 0.8911
0.3615 2.0 2198 0.2986 0.9169
0.2686 3.0 3297 0.2662 0.9304
0.246 4.0 4396 0.2340 0.9396
0.201 5.0 5495 0.2588 0.9412
0.1757 6.0 6594 0.2436 0.9439
0.1699 7.0 7693 0.2558 0.9443
0.1178 8.0 8792 0.2512 0.9479
0.1167 9.0 9891 0.2536 0.9479
0.0889 10.0 10990 0.2536 0.9495
Framework versions
  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of vuongnhathien convnext-base-3e-5 on huggingface.co

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

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https://huggingface.co/vuongnhathien/convnext-base-3e-5

convnext-base-3e-5 install

convnext-base-3e-5 is an open source model from GitHub that offers a free installation service, and any user can find convnext-base-3e-5 on GitHub to install. At the same time, huggingface.co provides the effect of convnext-base-3e-5 install, users can directly use convnext-base-3e-5 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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