tiny-mlm-glue-cola-target-glue-stsb
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-cola on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9450
- Pearson: 0.8092
- Spearmanr: 0.8062
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 | Pearson | Spearmanr |
|---|---|---|---|---|---|
| 3.2852 | 2.78 | 500 | 1.2419 | 0.6797 | 0.6892 |
| 1.1811 | 5.56 | 1000 | 1.0907 | 0.7559 | 0.7738 |
| 0.8412 | 8.33 | 1500 | 0.9899 | 0.7947 | 0.8048 |
| 0.6828 | 11.11 | 2000 | 0.8542 | 0.8105 | 0.8119 |
| 0.5756 | 13.89 | 2500 | 0.8881 | 0.8122 | 0.8119 |
| 0.5049 | 16.67 | 3000 | 0.9491 | 0.8120 | 0.8121 |
| 0.4405 | 19.44 | 3500 | 0.8854 | 0.8131 | 0.8107 |
| 0.399 | 22.22 | 4000 | 0.9128 | 0.8112 | 0.8077 |
| 0.3565 | 25.0 | 4500 | 0.9623 | 0.8119 | 0.8096 |
| 0.3345 | 27.78 | 5000 | 0.9450 | 0.8092 | 0.8062 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2