tiny-mlm-glue-qnli-target-glue-qnli
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-qnli on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4636
- Accuracy: 0.7818
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 | Accuracy |
|---|---|---|---|---|
| 0.6183 | 0.15 | 500 | 0.5369 | 0.7379 |
| 0.5398 | 0.31 | 1000 | 0.5269 | 0.7446 |
| 0.5176 | 0.46 | 1500 | 0.5027 | 0.7609 |
| 0.5119 | 0.61 | 2000 | 0.5233 | 0.7478 |
| 0.5099 | 0.76 | 2500 | 0.4825 | 0.7710 |
| 0.5025 | 0.92 | 3000 | 0.4702 | 0.7802 |
| 0.4893 | 1.07 | 3500 | 0.4484 | 0.7939 |
| 0.4794 | 1.22 | 4000 | 0.4709 | 0.7783 |
| 0.465 | 1.37 | 4500 | 0.4758 | 0.7754 |
| 0.4739 | 1.53 | 5000 | 0.4636 | 0.7818 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2