bert-fine-tuned-cola

This model is a fine-tuned version of bert-base-cased on the glue dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8068
  • Matthews Correlation: 0.5959

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: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Matthews Correlation
0.4838 1.0 1069 0.5996 0.4637
0.3543 2.0 2138 0.6670 0.5778
0.1948 3.0 3207 0.8068 0.5959

Framework versions

  • Transformers 4.13.0.dev0
  • Pytorch 1.9.1+cu102
  • Datasets 1.13.4.dev0
  • Tokenizers 0.10.3
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Evaluation results