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: 0.7525
- Matthews Correlation: 0.5553
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 |
|---|---|---|---|---|
| 0.523 | 1.0 | 535 | 0.5024 | 0.4160 |
| 0.3437 | 2.0 | 1070 | 0.5450 | 0.4965 |
| 0.2326 | 3.0 | 1605 | 0.6305 | 0.5189 |
| 0.177 | 4.0 | 2140 | 0.7525 | 0.5553 |
| 0.1354 | 5.0 | 2675 | 0.8630 | 0.5291 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
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