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: 0.5062
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: 64
- eval_batch_size: 64
- 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 | 134 | 0.4851 | 0.4301 |
| No log | 2.0 | 268 | 0.4619 | 0.4891 |
| No log | 3.0 | 402 | 0.5447 | 0.4965 |
| 0.3828 | 4.0 | 536 | 0.5608 | 0.5062 |
| 0.3828 | 5.0 | 670 | 0.5702 | 0.5029 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.8.1+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0
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