mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_stsb_128
This model is a fine-tuned version of google/mobilebert-uncased on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 1.4602
- Pearson: 0.1596
- Spearmanr: 0.1582
- Combined Score: 0.1589
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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
|---|---|---|---|---|---|---|
| 0.5444 | 1.0 | 2518 | 1.4965 | 0.1589 | 0.1763 | 0.1676 |
| 0.3254 | 2.0 | 5036 | 1.5276 | 0.1502 | 0.1674 | 0.1588 |
| 0.2847 | 3.0 | 7554 | 1.5430 | 0.1587 | 0.1680 | 0.1634 |
| 0.2376 | 4.0 | 10072 | 1.6906 | 0.1669 | 0.1786 | 0.1728 |
| 0.1741 | 5.0 | 12590 | 1.4788 | 0.1662 | 0.1725 | 0.1694 |
| 0.1315 | 6.0 | 15108 | 1.5662 | 0.1640 | 0.1700 | 0.1670 |
| 0.1055 | 7.0 | 17626 | 1.5100 | 0.1663 | 0.1698 | 0.1680 |
| 0.0879 | 8.0 | 20144 | 1.4602 | 0.1596 | 0.1582 | 0.1589 |
| 0.0739 | 9.0 | 22662 | 1.6612 | 0.1584 | 0.1621 | 0.1603 |
| 0.0632 | 10.0 | 25180 | 1.5825 | 0.1489 | 0.1547 | 0.1518 |
| 0.0548 | 11.0 | 27698 | 1.5946 | 0.1421 | 0.1461 | 0.1441 |
| 0.0473 | 12.0 | 30216 | 1.6515 | 0.1526 | 0.1548 | 0.1537 |
| 0.0415 | 13.0 | 32734 | 1.6544 | 0.1506 | 0.1478 | 0.1492 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2