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mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_stsb
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: 1.4410
- Pearson: 0.1664
- Spearmanr: 0.1770
- Combined Score: 0.1717
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 |
---|---|---|---|---|---|---|
0.5057 | 1.0 | 2518 | 1.4410 | 0.1664 | 0.1770 | 0.1717 |
0.2904 | 2.0 | 5036 | 1.5531 | 0.1681 | 0.1758 | 0.1720 |
0.2164 | 3.0 | 7554 | 1.5013 | 0.1732 | 0.1766 | 0.1749 |
0.1385 | 4.0 | 10072 | 1.4793 | 0.1854 | 0.1821 | 0.1837 |
0.0944 | 5.0 | 12590 | 1.5300 | 0.1694 | 0.1741 | 0.1717 |
0.0682 | 6.0 | 15108 | 1.5759 | 0.1695 | 0.1691 | 0.1693 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2