<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
tiny-mlm-glue-mrpc-from-scratch-custom-tokenizer-target-glue-stsb
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-mrpc-from-scratch-custom-tokenizer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0173
- Pearson: 0.1677
- Spearmanr: 0.1786
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 |
---|---|---|---|---|---|
3.6953 | 2.78 | 500 | 2.3550 | 0.0216 | 0.0287 |
2.0201 | 5.56 | 1000 | 2.4739 | 0.0748 | 0.0777 |
1.7426 | 8.33 | 1500 | 2.5607 | 0.1646 | 0.1828 |
1.3048 | 11.11 | 2000 | 2.6228 | 0.1943 | 0.2164 |
1.0343 | 13.89 | 2500 | 2.7083 | 0.1904 | 0.2006 |
0.8652 | 16.67 | 3000 | 2.9034 | 0.1738 | 0.1891 |
0.7507 | 19.44 | 3500 | 3.0173 | 0.1677 | 0.1786 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2