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annabellehuether/topic-legal-bert-base-uncased-supreme-court-32batch_3epoch_3e5lr_01wd

sourceHugging Facecc-by-sa-4.0updated 3y agoView on Hugging Face
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Model Card

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topic-legal-bert-base-uncased-supreme-court-32batch3epoch3e5lr_01wd

This model is a fine-tuned version of nlpaueb/legal-bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.7379
  • —Accuracy: 0.7833

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: 3e-05
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 7
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3

Training results

Training LossEpochStepValidation LossAccuracy
1.0741.06600.75470.7647
0.64962.013200.72560.7840
0.51753.019800.73790.7833

Framework versions

  • —Transformers 4.35.1
  • —Pytorch 2.1.0+cu121
  • —Datasets 2.14.6
  • —Tokenizers 0.14.1