electra-base-discriminator-finetuned-cola
This model is a fine-tuned version of google/electra-base-discriminator on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.6367
- Matthews Correlation: 0.6824
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 |
|---|---|---|---|---|
| 0.4139 | 1.0 | 535 | 0.4137 | 0.6381 |
| 0.2452 | 2.0 | 1070 | 0.4887 | 0.6504 |
| 0.17 | 3.0 | 1605 | 0.5335 | 0.6757 |
| 0.1135 | 4.0 | 2140 | 0.6367 | 0.6824 |
| 0.0817 | 5.0 | 2675 | 0.6742 | 0.6755 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3
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