distilbert-base-uncased-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: 1.2715
- Matthews Correlation: 0.5301
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: 10
Training results
Training Loss |
Epoch |
Step |
Validation Loss |
Matthews Correlation |
0.5216 |
1.0 |
535 |
0.5124 |
0.4104 |
0.3456 |
2.0 |
1070 |
0.5700 |
0.4692 |
0.2362 |
3.0 |
1605 |
0.7277 |
0.4844 |
0.1818 |
4.0 |
2140 |
0.7553 |
0.5007 |
0.1509 |
5.0 |
2675 |
0.9406 |
0.4987 |
0.1017 |
6.0 |
3210 |
0.9475 |
0.5387 |
0.0854 |
7.0 |
3745 |
1.0933 |
0.5317 |
0.051 |
8.0 |
4280 |
1.1719 |
0.5358 |
0.0512 |
9.0 |
4815 |
1.2296 |
0.5321 |
0.0308 |
10.0 |
5350 |
1.2715 |
0.5301 |
Framework versions
- Transformers 4.12.3
- Pytorch 1.10.0+cu102
- Datasets 1.15.1
- Tokenizers 0.10.3