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bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-4

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: 0.0104

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
4.202 1.0 1 2.8692
3.013 2.0 2 0.5282
1.4989 3.0 3 2.8251
0.9224 4.0 4 0.0666
1.5338 5.0 5 0.0742
0.758 6.0 6 0.0476
1.3746 7.0 7 2.8224
1.1452 8.0 8 0.0024

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3
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