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: 0.8586
- Matthews Correlation: 0.5252
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 |
|---|---|---|---|---|
| 0.5293 | 1.0 | 535 | 0.5075 | 0.4325 |
| 0.3471 | 2.0 | 1070 | 0.5048 | 0.5060 |
| 0.2349 | 3.0 | 1605 | 0.5762 | 0.4979 |
| 0.1829 | 4.0 | 2140 | 0.7848 | 0.5093 |
| 0.1343 | 5.0 | 2675 | 0.8586 | 0.5252 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
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Dataset used to train ThomasLI/distilbert-base-uncased-finetuned-cola
Evaluation results
- Matthews Correlation on gluevalidation set self-reported0.525