distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of distilbert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.7767
- Matthews Correlation: 0.5492
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 |
|---|---|---|---|---|
| 0.5244 | 1.0 | 535 | 0.5349 | 0.4240 |
| 0.3471 | 2.0 | 1070 | 0.5087 | 0.5079 |
| 0.235 | 3.0 | 1605 | 0.6847 | 0.5106 |
| 0.1718 | 4.0 | 2140 | 0.7767 | 0.5492 |
| 0.1271 | 5.0 | 2675 | 0.8580 | 0.5469 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.12.1
- Tokenizers 0.10.3