abdulmanaam / deberta-base-clickbait-post

huggingface.co
Total runs: 10
24-hour runs: 0
7-day runs: -1
30-day runs: -1
Model's Last Updated: July 30 2024
text-classification

Introduction of deberta-base-clickbait-post

Model Details of deberta-base-clickbait-post

deberta-base-clickbait-post

This model is a fine-tuned version of microsoft/deberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8234
  • Accuracy: 0.7275
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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
Training results
Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 200 0.7309 0.7125
No log 2.0 400 0.7185 0.705
0.7452 3.0 600 0.7173 0.7325
0.7452 4.0 800 0.7892 0.74
0.3543 5.0 1000 0.8234 0.7275
Framework versions
  • Transformers 4.44.0.dev0
  • Pytorch 2.4.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Runs of abdulmanaam deberta-base-clickbait-post on huggingface.co

10
Total runs
0
24-hour runs
-1
3-day runs
-1
7-day runs
-1
30-day runs

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https://huggingface.co/abdulmanaam/deberta-base-clickbait-post

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https://huggingface.co/abdulmanaam/deberta-base-clickbait-post

deberta-base-clickbait-post install

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

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