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: 0.8069
- Matthews Correlation: 0.5422
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 |
|---|---|---|---|---|
| 0.5221 | 1.0 | 535 | 0.5308 | 0.4005 |
| 0.3494 | 2.0 | 1070 | 0.5144 | 0.5107 |
| 0.2357 | 3.0 | 1605 | 0.5496 | 0.5142 |
| 0.178 | 4.0 | 2140 | 0.7656 | 0.5121 |
| 0.1356 | 5.0 | 2675 | 0.8069 | 0.5422 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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Dataset used to train BMP/distilbert-base-uncased-finetuned-cola
Evaluation results
- Matthews Correlation on glueself-reported0.542