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distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3038
- Matthews Correlation: 0.9198
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 |
|---|---|---|---|---|
| 1.2169 | 1.0 | 626 | 0.6782 | 0.8605 |
| 0.5513 | 2.0 | 1252 | 0.4085 | 0.8998 |
| 0.343 | 3.0 | 1878 | 0.3346 | 0.9122 |
| 0.1642 | 4.0 | 2504 | 0.3106 | 0.9165 |
| 0.1216 | 5.0 | 3130 | 0.3038 | 0.9198 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Tokenizers 0.13.1
