p1atdev / pvc-quality-swinv2-base

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: -3
30-day runs: 2
Model's Last Updated: December 03 2023
image-classification

Introduction of pvc-quality-swinv2-base

Model Details of pvc-quality-swinv2-base

pvc-quality-swinv2-base

This model is a fine-tuned version of microsoft/swinv2-base-patch4-window12-192-22k on the pvc figure images dataset . It achieves the following results on the evaluation set:

  • Loss: 1.2396
  • Accuracy: 0.5317
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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss Accuracy
1.7254 0.98 39 1.4826 0.4109
1.3316 1.99 79 1.2177 0.5136
1.0864 2.99 119 1.3006 0.4653
0.8572 4.0 159 1.2090 0.5015
0.7466 4.98 198 1.2150 0.5378
0.5986 5.99 238 1.4600 0.4955
0.4784 6.99 278 1.4131 0.5196
0.3525 8.0 318 1.5256 0.4985
0.3472 8.98 357 1.3883 0.5166
0.3281 9.81 390 1.5012 0.4955
Framework versions
  • Transformers 4.34.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.0

Runs of p1atdev pvc-quality-swinv2-base on huggingface.co

5
Total runs
0
24-hour runs
0
3-day runs
-3
7-day runs
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30-day runs

More Information About pvc-quality-swinv2-base huggingface.co Model

More pvc-quality-swinv2-base license Visit here:

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

pvc-quality-swinv2-base huggingface.co

pvc-quality-swinv2-base huggingface.co is an AI model on huggingface.co that provides pvc-quality-swinv2-base's model effect (), which can be used instantly with this p1atdev pvc-quality-swinv2-base model. huggingface.co supports a free trial of the pvc-quality-swinv2-base model, and also provides paid use of the pvc-quality-swinv2-base. Support call pvc-quality-swinv2-base model through api, including Node.js, Python, http.

pvc-quality-swinv2-base huggingface.co Url

https://huggingface.co/p1atdev/pvc-quality-swinv2-base

p1atdev pvc-quality-swinv2-base online free

pvc-quality-swinv2-base huggingface.co is an online trial and call api platform, which integrates pvc-quality-swinv2-base's modeling effects, including api services, and provides a free online trial of pvc-quality-swinv2-base, you can try pvc-quality-swinv2-base online for free by clicking the link below.

p1atdev pvc-quality-swinv2-base online free url in huggingface.co:

https://huggingface.co/p1atdev/pvc-quality-swinv2-base

pvc-quality-swinv2-base install

pvc-quality-swinv2-base is an open source model from GitHub that offers a free installation service, and any user can find pvc-quality-swinv2-base on GitHub to install. At the same time, huggingface.co provides the effect of pvc-quality-swinv2-base install, users can directly use pvc-quality-swinv2-base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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