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small-mlm-glue-mnli-target-glue-stsb
This model is a fine-tuned version of muhtasham/small-mlm-glue-mnli on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5787
- Pearson: 0.8713
- Spearmanr: 0.8682
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 |
|---|---|---|---|---|---|
| 0.8409 | 2.78 | 500 | 0.6223 | 0.8639 | 0.8635 |
| 0.2924 | 5.56 | 1000 | 0.5894 | 0.8678 | 0.8657 |
| 0.1734 | 8.33 | 1500 | 0.6029 | 0.8653 | 0.8628 |
| 0.1252 | 11.11 | 2000 | 0.6190 | 0.8702 | 0.8670 |
| 0.1009 | 13.89 | 2500 | 0.5801 | 0.8708 | 0.8681 |
| 0.0831 | 16.67 | 3000 | 0.6374 | 0.8689 | 0.8652 |
| 0.0698 | 19.44 | 3500 | 0.5801 | 0.8716 | 0.8683 |
| 0.0609 | 22.22 | 4000 | 0.5641 | 0.8741 | 0.8706 |
| 0.0569 | 25.0 | 4500 | 0.5491 | 0.8728 | 0.8697 |
| 0.0512 | 27.78 | 5000 | 0.5787 | 0.8713 | 0.8682 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
