tiny-mlm-glue-qqp
This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.5533
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
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.313 | 0.4 | 500 | 3.8831 |
| 4.1839 | 0.8 | 1000 | 3.7763 |
| 4.0803 | 1.2 | 1500 | 3.6769 |
| 3.9319 | 1.6 | 2000 | 3.6800 |
| 3.8968 | 2.0 | 2500 | 3.6765 |
| 3.8441 | 2.4 | 3000 | 3.5576 |
| 3.7809 | 2.8 | 3500 | 3.6472 |
| 3.8456 | 3.2 | 4000 | 3.5526 |
| 3.682 | 3.6 | 4500 | 3.5926 |
| 3.749 | 4.0 | 5000 | 3.5727 |
| 3.6818 | 4.4 | 5500 | 3.5533 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2