sa_BERT_48_cola
This model is a fine-tuned version of gokuls/bert_base_48 on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.6131
- Matthews Correlation: 0.0867
- Accuracy: 0.6951
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: 4e-05
- train_batch_size: 96
- eval_batch_size: 96
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | Accuracy |
|---|---|---|---|---|---|
| 0.6218 | 1.0 | 90 | 0.6131 | 0.0 | 0.6913 |
| 0.5938 | 2.0 | 180 | 0.6131 | 0.0867 | 0.6951 |
| 0.5535 | 3.0 | 270 | 0.6607 | 0.0838 | 0.6472 |
| 0.5036 | 4.0 | 360 | 0.6657 | 0.0746 | 0.6721 |
| 0.4578 | 5.0 | 450 | 0.8804 | 0.1134 | 0.6222 |
| 0.4167 | 6.0 | 540 | 0.7758 | 0.0645 | 0.6194 |
| 0.3852 | 7.0 | 630 | 0.8373 | 0.0386 | 0.6299 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.13.0
- Tokenizers 0.13.3