CoolFace
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HarrysonIA/EthicalSentences

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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Ethical Sentences

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

  • —Loss: 0.7022
  • —Accuracy: 0.52

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: 5e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 1

Training results

Training LossEpochStepValidation LossAccuracy
0.74370.384650.82080.49
0.75170.7692100.70220.52

Framework versions

  • —Transformers 4.41.1
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.19.1
  • —Tokenizers 0.19.1