Edit model card

bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-18

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: 0.0557

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
5.8023 1.0 1 1.0160
3.4406 2.0 2 2.2347
1.6101 3.0 3 5.3486
0.9624 4.0 4 0.0428
1.3386 5.0 5 1.7937
1.0396 6.0 6 0.5378
1.1581 7.0 7 2.4873
1.4557 8.0 8 1.1439

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3
Downloads last month
7