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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: 0.5219
- Matthews Correlation: 0.5290
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 268 | 0.5025 | 0.4154 |
| 0.4551 | 2.0 | 536 | 0.5071 | 0.4792 |
| 0.4551 | 3.0 | 804 | 0.5219 | 0.5290 |
| 0.2312 | 4.0 | 1072 | 0.6287 | 0.5089 |
| 0.2312 | 5.0 | 1340 | 0.6631 | 0.5182 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
