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English_Grammar_Checker

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

  • Loss: 1.1117
  • Matthews Correlation: 0.5324

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: 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: 5

Training results

Training Loss Epoch Step Validation Loss Matthews Correlation
0.527 1.0 1069 0.6183 0.3947
0.387 2.0 2138 0.5165 0.5156
0.2772 3.0 3207 0.6716 0.5211
0.176 4.0 4276 0.9270 0.5123
0.0975 5.0 5345 1.1117 0.5324

Framework versions

  • Transformers 4.21.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1
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Dataset used to train abdulmatinomotoso/English_Grammar_Checker

Space using abdulmatinomotoso/English_Grammar_Checker 1

Evaluation results