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: 0.8337
- Matthews Correlation: 0.5268
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 |
|---|---|---|---|---|
| 0.5253 | 1.0 | 535 | 0.5187 | 0.4181 |
| 0.3463 | 2.0 | 1070 | 0.4989 | 0.5134 |
| 0.2318 | 3.0 | 1605 | 0.5932 | 0.5136 |
| 0.1724 | 4.0 | 2140 | 0.7905 | 0.5156 |
| 0.1285 | 5.0 | 2675 | 0.8337 | 0.5268 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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