small-mlm-glue-mrpc-target-glue-cola
This model is a fine-tuned version of muhtasham/small-mlm-glue-mrpc on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5250
- Matthews Correlation: 0.3249
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
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.5316 | 1.87 | 500 | 0.6534 | 0.2440 |
| 0.3404 | 3.73 | 1000 | 0.7046 | 0.3402 |
| 0.2132 | 5.6 | 1500 | 0.8758 | 0.3651 |
| 0.1523 | 7.46 | 2000 | 0.9977 | 0.3768 |
| 0.1192 | 9.33 | 2500 | 1.0482 | 0.4193 |
| 0.0964 | 11.19 | 3000 | 1.2212 | 0.4034 |
| 0.0824 | 13.06 | 3500 | 1.4391 | 0.3765 |
| 0.0736 | 14.93 | 4000 | 1.5250 | 0.3249 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2