bert-fine-tuned-cola
This model is a fine-tuned version of bert-base-cased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.8240
- Matthews Correlation: 0.5907
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.4764 | 1.0 | 1069 | 0.5198 | 0.4949 |
| 0.3207 | 2.0 | 2138 | 0.6520 | 0.5757 |
| 0.1841 | 3.0 | 3207 | 0.8240 | 0.5907 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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Dataset used to train hbacard/bert-fine-tuned-cola
Evaluation results
- Matthews Correlation on gluevalidation set self-reported0.591