tiny-mlm-glue-wnli
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: 0.7902
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 |
|---|---|---|---|
| 3.5021 | 6.25 | 500 | 2.8676 |
| 2.9602 | 12.5 | 1000 | 2.5328 |
| 2.6906 | 18.75 | 1500 | 2.3640 |
| 2.4167 | 25.0 | 2000 | 2.0918 |
| 2.2699 | 31.25 | 2500 | 2.1182 |
| 2.0933 | 37.5 | 3000 | 1.8802 |
| 1.9399 | 43.75 | 3500 | 1.8979 |
| 1.7961 | 50.0 | 4000 | 1.5276 |
| 1.6738 | 56.25 | 4500 | 1.5327 |
| 1.5784 | 62.5 | 5000 | 1.2767 |
| 1.4405 | 68.75 | 5500 | 1.3593 |
| 1.3428 | 75.0 | 6000 | 0.9772 |
| 1.3257 | 81.25 | 6500 | 1.2789 |
| 1.1988 | 87.5 | 7000 | 0.9494 |
| 1.1275 | 93.75 | 7500 | 0.8278 |
| 1.0854 | 100.0 | 8000 | 0.6301 |
| 1.0275 | 106.25 | 8500 | 0.8044 |
| 0.9714 | 112.5 | 9000 | 0.7544 |
| 0.9019 | 118.75 | 9500 | 0.7902 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2