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metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: bert-base-uncased-issues-128
    results: []

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: 1.2551

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
2.0984 1.0 291 1.7081
1.6512 2.0 582 1.4289
1.4854 3.0 873 1.3845
1.3924 4.0 1164 1.3844
1.3375 5.0 1455 1.1944
1.2969 6.0 1746 1.2848
1.2443 7.0 2037 1.2678
1.1998 8.0 2328 1.2151
1.1805 9.0 2619 1.1638
1.1396 10.0 2910 1.2131
1.1333 11.0 3201 1.1966
1.0974 12.0 3492 1.1687
1.0822 13.0 3783 1.2283
1.0736 14.0 4074 1.1640
1.0595 15.0 4365 1.1207
1.0515 16.0 4656 1.2551

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.10.0+cu111
  • Datasets 2.0.0
  • Tokenizers 0.11.6