roberta-base-finetuned-cola
This model is a fine-tuned version of roberta-base on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.9030
- Matthews Correlation: 0.6083
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 |
|---|---|---|---|---|
| 0.4984 | 1.0 | 535 | 0.6242 | 0.5066 |
| 0.3277 | 2.0 | 1070 | 0.5216 | 0.5757 |
| 0.2297 | 3.0 | 1605 | 0.5808 | 0.5753 |
| 0.1843 | 4.0 | 2140 | 0.7486 | 0.6083 |
| 0.1261 | 5.0 | 2675 | 0.9030 | 0.6083 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.2.1+cu121
- Datasets 1.16.1
- Tokenizers 0.19.1
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