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tiny-vanilla-target-glue-cola
This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8745
- Matthews Correlation: 0.0651
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: 3e-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: constant
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.6124 | 1.87 | 500 | 0.6204 | 0.0 |
| 0.603 | 3.73 | 1000 | 0.6181 | 0.0 |
| 0.5927 | 5.6 | 1500 | 0.6231 | 0.0194 |
| 0.5707 | 7.46 | 2000 | 0.6366 | 0.0149 |
| 0.5399 | 9.33 | 2500 | 0.6549 | 0.0646 |
| 0.5169 | 11.19 | 3000 | 0.6769 | 0.0736 |
| 0.4954 | 13.06 | 3500 | 0.6856 | 0.0742 |
| 0.4724 | 14.93 | 4000 | 0.7246 | 0.0777 |
| 0.4552 | 16.79 | 4500 | 0.7517 | 0.0767 |
| 0.434 | 18.66 | 5000 | 0.7868 | 0.0832 |
| 0.4192 | 20.52 | 5500 | 0.8144 | 0.0664 |
| 0.4092 | 22.39 | 6000 | 0.8025 | 0.0670 |
| 0.3874 | 24.25 | 6500 | 0.8745 | 0.0651 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
