tiny-mlm-glue-cola-target-glue-qnli
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-cola on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4706
- Accuracy: 0.7820
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 |
|---|---|---|---|---|
| 0.6037 | 0.15 | 500 | 0.5447 | 0.7315 |
| 0.5395 | 0.31 | 1000 | 0.5304 | 0.7417 |
| 0.5171 | 0.46 | 1500 | 0.4946 | 0.7626 |
| 0.5141 | 0.61 | 2000 | 0.5316 | 0.7450 |
| 0.5107 | 0.76 | 2500 | 0.4847 | 0.7712 |
| 0.5031 | 0.92 | 3000 | 0.4687 | 0.7844 |
| 0.4903 | 1.07 | 3500 | 0.4536 | 0.7897 |
| 0.48 | 1.22 | 4000 | 0.4689 | 0.7829 |
| 0.4677 | 1.37 | 4500 | 0.4769 | 0.7763 |
| 0.474 | 1.53 | 5000 | 0.4706 | 0.7820 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2