small-vanilla-target-glue-cola
This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3381
- Matthews Correlation: 0.3994
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 | Matthews Correlation |
|---|---|---|---|---|
| 0.5491 | 1.87 | 500 | 0.6232 | 0.2182 |
| 0.3596 | 3.73 | 1000 | 0.7203 | 0.3078 |
| 0.233 | 5.6 | 1500 | 0.7825 | 0.3833 |
| 0.168 | 7.46 | 2000 | 0.9239 | 0.3657 |
| 0.1299 | 9.33 | 2500 | 1.1005 | 0.4196 |
| 0.1085 | 11.19 | 3000 | 1.2032 | 0.3906 |
| 0.0931 | 13.06 | 3500 | 1.3157 | 0.3226 |
| 0.0766 | 14.93 | 4000 | 1.3381 | 0.3994 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2