<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
tiny-mlm-glue-qqp-target-glue-cola
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-qqp on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7213
- Matthews Correlation: 0.0938
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 |
---|---|---|---|---|
0.6096 | 1.87 | 500 | 0.6213 | 0.0 |
0.6002 | 3.73 | 1000 | 0.6164 | 0.0 |
0.5831 | 5.6 | 1500 | 0.6190 | 0.0583 |
0.5559 | 7.46 | 2000 | 0.6402 | 0.0849 |
0.528 | 9.33 | 2500 | 0.6572 | 0.1149 |
0.5109 | 11.19 | 3000 | 0.6663 | 0.1134 |
0.4867 | 13.06 | 3500 | 0.6832 | 0.1024 |
0.4677 | 14.93 | 4000 | 0.7213 | 0.0938 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2