<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
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
