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tiny-mlm-glue-qqp-from-scratch-custom-tokenizer-target-glue-stsb
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-qqp-from-scratch-custom-tokenizer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0980
- Pearson: 0.1588
- Spearmanr: 0.1567
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 |
|---|---|---|---|---|---|
| 3.5246 | 2.78 | 500 | 2.3493 | 0.0822 | 0.0866 |
| 2.0073 | 5.56 | 1000 | 2.4411 | 0.1063 | 0.1054 |
| 1.8413 | 8.33 | 1500 | 2.5163 | 0.1452 | 0.1350 |
| 1.5599 | 11.11 | 2000 | 2.6237 | 0.1714 | 0.1662 |
| 1.2789 | 13.89 | 2500 | 2.7378 | 0.1804 | 0.1772 |
| 1.0693 | 16.67 | 3000 | 3.0900 | 0.1475 | 0.1275 |
| 0.9412 | 19.44 | 3500 | 3.0802 | 0.1542 | 0.1499 |
| 0.8365 | 22.22 | 4000 | 3.0980 | 0.1588 | 0.1567 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
