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small-mlm-glue-cola-target-glue-stsb
This model is a fine-tuned version of muhtasham/small-mlm-glue-cola on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5924
- Pearson: 0.8702
- Spearmanr: 0.8670
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
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
|---|---|---|---|---|---|
| 0.8465 | 2.78 | 500 | 0.6385 | 0.8629 | 0.8640 |
| 0.3057 | 5.56 | 1000 | 0.6068 | 0.8672 | 0.8660 |
| 0.1832 | 8.33 | 1500 | 0.6459 | 0.8605 | 0.8577 |
| 0.1291 | 11.11 | 2000 | 0.6158 | 0.8675 | 0.8646 |
| 0.1023 | 13.89 | 2500 | 0.6053 | 0.8692 | 0.8664 |
| 0.0842 | 16.67 | 3000 | 0.6038 | 0.8703 | 0.8667 |
| 0.0715 | 19.44 | 3500 | 0.5854 | 0.8718 | 0.8686 |
| 0.0631 | 22.22 | 4000 | 0.5695 | 0.8729 | 0.8692 |
| 0.0575 | 25.0 | 4500 | 0.5868 | 0.8716 | 0.8685 |
| 0.0525 | 27.78 | 5000 | 0.5924 | 0.8702 | 0.8670 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
