robertsw / aesthetics_v2

huggingface.co
Total runs: 260
24-hour runs: -7
7-day runs: -68
30-day runs: -1.0K
Model's Last Updated: March 02 2024
image-classification

Introduction of aesthetics_v2

Model Details of aesthetics_v2

aesthetics_v2

This model is a fine-tuned version of facebook/dinov2-large on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6501
  • Accuracy: 0.5581
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: 64
  • eval_batch_size: 64
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss Accuracy
1.1465 0.17 20 1.6860 0.5313
1.2703 0.34 40 1.8412 0.5014
1.3152 0.52 60 1.8200 0.5042
1.2313 0.69 80 1.7971 0.5112
1.3476 0.86 100 1.7649 0.5100
1.2597 1.03 120 1.7454 0.5175
1.0094 1.2 140 1.7356 0.5257
0.9743 1.37 160 1.7074 0.5352
1.0209 1.55 180 1.7331 0.5322
1.0692 1.72 200 1.7370 0.5331
1.0556 1.89 220 1.6788 0.5487
0.8634 2.06 240 1.6644 0.5536
0.79 2.23 260 1.6848 0.5531
0.7916 2.4 280 1.6761 0.5528
0.7454 2.58 300 1.6520 0.5534
0.7497 2.75 320 1.6337 0.5554
0.7537 2.92 340 1.6501 0.5581
Framework versions
  • Transformers 4.38.2
  • Pytorch 2.2.0
  • Datasets 2.17.1
  • Tokenizers 0.15.2

Runs of robertsw aesthetics_v2 on huggingface.co

260
Total runs
-7
24-hour runs
-25
3-day runs
-68
7-day runs
-1.0K
30-day runs

More Information About aesthetics_v2 huggingface.co Model

More aesthetics_v2 license Visit here:

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

aesthetics_v2 huggingface.co

aesthetics_v2 huggingface.co is an AI model on huggingface.co that provides aesthetics_v2's model effect (), which can be used instantly with this robertsw aesthetics_v2 model. huggingface.co supports a free trial of the aesthetics_v2 model, and also provides paid use of the aesthetics_v2. Support call aesthetics_v2 model through api, including Node.js, Python, http.

aesthetics_v2 huggingface.co Url

https://huggingface.co/robertsw/aesthetics_v2

robertsw aesthetics_v2 online free

aesthetics_v2 huggingface.co is an online trial and call api platform, which integrates aesthetics_v2's modeling effects, including api services, and provides a free online trial of aesthetics_v2, you can try aesthetics_v2 online for free by clicking the link below.

robertsw aesthetics_v2 online free url in huggingface.co:

https://huggingface.co/robertsw/aesthetics_v2

aesthetics_v2 install

aesthetics_v2 is an open source model from GitHub that offers a free installation service, and any user can find aesthetics_v2 on GitHub to install. At the same time, huggingface.co provides the effect of aesthetics_v2 install, users can directly use aesthetics_v2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

aesthetics_v2 install url in huggingface.co:

https://huggingface.co/robertsw/aesthetics_v2

Url of aesthetics_v2

aesthetics_v2 huggingface.co Url

Provider of aesthetics_v2 huggingface.co

robertsw
ORGANIZATIONS

Other API from robertsw

huggingface.co

Total runs: 17
Run Growth: 14
Growth Rate: 77.78%
Updated:June 05 2024