bhadresh-savani / bertweet-base-finetuned-emotion

huggingface.co
Total runs: 17
24-hour runs: -2
7-day runs: -2
30-day runs: 6
Model's Last Updated: March 22 2023
text-classification

Introduction of bertweet-base-finetuned-emotion

Model Details of bertweet-base-finetuned-emotion

bertweet-base-finetuned-emotion

This model is a fine-tuned version of vinai/bertweet-base on the emotion dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1737
  • Accuracy: 0.929
  • F1: 0.9296
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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4
Training results
Training Loss Epoch Step Validation Loss Accuracy F1
0.9469 1.0 250 0.3643 0.895 0.8921
0.2807 2.0 500 0.2173 0.9245 0.9252
0.1749 3.0 750 0.1859 0.926 0.9266
0.1355 4.0 1000 0.1737 0.929 0.9296
Framework versions
  • Transformers 4.13.0
  • Pytorch 1.11.0+cu113
  • Datasets 1.16.1
  • Tokenizers 0.10.3

Runs of bhadresh-savani bertweet-base-finetuned-emotion on huggingface.co

17
Total runs
-2
24-hour runs
-2
3-day runs
-2
7-day runs
6
30-day runs

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bertweet-base-finetuned-emotion install

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

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