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lilouuch/Goodreads_Books_Reviews_BERT_51

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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GoodreadsBooksReviewsBERT51

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

  • —Loss: 0.9079
  • —F1: 0.6366
  • —Accuracy: 0.6355

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
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 2

Training results

Training LossEpochStepValidation LossF1Accuracy
0.94741.070800.94150.61650.6179
0.82952.0141600.90790.63660.6355

Framework versions

  • —Transformers 4.20.1
  • —Pytorch 1.11.0
  • —Datasets 2.1.0
  • —Tokenizers 0.12.1