DuongTrongChi / d-filter

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

Introduction of d-filter

Model Details of d-filter

d-filter

This model is a fine-tuned version of uitnlp/visobert on the None dataset.

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: 48
  • eval_batch_size: 48
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
Training results
Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
No log 1.0 361 0.0957 0.9658 0.8602 0.8894 0.8328
Framework versions
  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.19.1

Runs of DuongTrongChi d-filter on huggingface.co

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

More Information About d-filter huggingface.co Model

d-filter huggingface.co

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

DuongTrongChi d-filter online free

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

DuongTrongChi d-filter online free url in huggingface.co:

https://huggingface.co/DuongTrongChi/d-filter

d-filter install

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

d-filter install url in huggingface.co:

https://huggingface.co/DuongTrongChi/d-filter

Url of d-filter

Provider of d-filter huggingface.co

DuongTrongChi
ORGANIZATIONS

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