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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-8

This model is a fine-tuned version of jojoUla/bert-large-cased-sigir-support-refute-no-label-40 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1810

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: 4e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 8.0

Training results

Training Loss Epoch Step Validation Loss
6.3908 1.0 1 1.5964
2.174 2.0 2 0.2234
1.7775 3.0 3 0.3506
1.7338 4.0 4 0.0005
1.296 5.0 5 1.8670
1.3132 6.0 6 0.6905
1.4215 7.0 7 1.0547
1.1844 8.0 8 2.5048

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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