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BERT_Question_only

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

  • Loss: 0.9159
  • Accuracy: 0.5754

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: 32
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.9865 1.0 619 0.9299 0.5539
0.927 2.0 1238 0.9081 0.5755
0.8925 3.0 1857 0.9159 0.5754

Framework versions

  • Transformers 4.26.1
  • Pytorch 2.0.0.dev20230220
  • Datasets 2.10.0
  • Tokenizers 0.11.0
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Dataset used to train mhr2004/BERT_Question_only

Evaluation results