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joseph10/berttiny-hate_speech18-nonpretrained

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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berttiny-hate_speech18-nonpretrained

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the hate_speech18 dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4631
  • —Accuracy: 0.8643

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: 6e-05
  • —trainbatchsize: 128
  • —evalbatchsize: 128
  • —seed: 33
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 7

Training results

Training LossEpochStepValidation LossAccuracy
0.54291.0600.48180.8556
0.47012.01200.47110.8556
0.46233.01800.46870.8583
0.45714.02400.46450.8615
0.45325.03000.46390.8638
0.45016.03600.46560.8620
0.44947.04200.46310.8643

Framework versions

  • —Transformers 4.36.0.dev0
  • —Pytorch 2.1.1
  • —Datasets 2.15.0
  • —Tokenizers 0.15.0