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small-mlm-glue-qqp-target-glue-cola
This model is a fine-tuned version of muhtasham/small-mlm-glue-qqp on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4356
- Matthews Correlation: 0.3764
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 |
---|---|---|---|---|
0.5386 | 1.87 | 500 | 0.6013 | 0.2532 |
0.3497 | 3.73 | 1000 | 0.7110 | 0.3418 |
0.2195 | 5.6 | 1500 | 0.8378 | 0.3697 |
0.1596 | 7.46 | 2000 | 0.9929 | 0.3393 |
0.1251 | 9.33 | 2500 | 1.1285 | 0.3771 |
0.0973 | 11.19 | 3000 | 1.3312 | 0.3501 |
0.0919 | 13.06 | 3500 | 1.3513 | 0.3669 |
0.0759 | 14.93 | 4000 | 1.4356 | 0.3764 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2