bert-base-uncased-finetuned-cola
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: 0.8347
- Matthews Correlation: 0.5914
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: 16
- eval_batch_size: 16
- 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 |
---|---|---|---|---|
0.4921 | 1.0 | 535 | 0.5622 | 0.4713 |
0.301 | 2.0 | 1070 | 0.4454 | 0.5611 |
0.1999 | 3.0 | 1605 | 0.6690 | 0.5521 |
0.1437 | 4.0 | 2140 | 0.7627 | 0.5851 |
0.0915 | 5.0 | 2675 | 0.8347 | 0.5914 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
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