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: 0.5608
- Matthews Correlation: 0.5384
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 |
|---|---|---|---|---|
| 0.5217 | 1.0 | 535 | 0.5248 | 0.4152 |
| 0.3479 | 2.0 | 1070 | 0.5000 | 0.4855 |
| 0.2345 | 3.0 | 1605 | 0.5608 | 0.5384 |
| 0.1843 | 4.0 | 2140 | 0.7651 | 0.5224 |
| 0.1304 | 5.0 | 2675 | 0.8071 | 0.5370 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
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Dataset used to train moonzi/distilbert-base-uncased-finetuned-cola
Evaluation results
- Matthews Correlation on glueself-reported0.538