afaji / summerschool-bert-emotion

huggingface.co
Total runs: 8
24-hour runs: 0
7-day runs: 0
30-day runs: 3
Model's Last Updated: June 14 2024
text-classification

Introduction of summerschool-bert-emotion

Model Details of summerschool-bert-emotion

results

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

  • Loss: 0.3016
  • Accuracy: 0.903
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: 1
Training results
Training Loss Epoch Step Validation Loss Accuracy
1.4263 0.16 100 1.1397 0.592
0.9469 0.32 200 0.7879 0.746
0.6107 0.48 300 0.4802 0.846
0.4503 0.64 400 0.3855 0.874
0.3673 0.8 500 0.3477 0.894
0.3684 0.96 600 0.3263 0.89
Framework versions
  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Runs of afaji summerschool-bert-emotion on huggingface.co

8
Total runs
0
24-hour runs
0
3-day runs
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7-day runs
3
30-day runs

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https://huggingface.co/afaji/summerschool-bert-emotion

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https://huggingface.co/afaji/summerschool-bert-emotion

summerschool-bert-emotion install

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

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https://huggingface.co/afaji/summerschool-bert-emotion

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