bert-base-uncased-issues-128

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2520

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: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 16

Training results

Training Loss Epoch Step Validation Loss
2.0949 1.0 291 1.7072
1.649 2.0 582 1.4409
1.4835 3.0 873 1.4099
1.3938 4.0 1164 1.3858
1.3326 5.0 1455 1.2004
1.2949 6.0 1746 1.2955
1.2451 7.0 2037 1.2682
1.1992 8.0 2328 1.1938
1.1784 9.0 2619 1.1686
1.1397 10.0 2910 1.2050
1.1293 11.0 3201 1.2058
1.1006 12.0 3492 1.1680
1.0835 13.0 3783 1.2414
1.0757 14.0 4074 1.1522
1.062 15.0 4365 1.1176
1.0535 16.0 4656 1.2520

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.10.2+cu102
  • Datasets 2.1.0
  • Tokenizers 0.12.1
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