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olm-bert-tiny-december-2022-target-glue-cola
This model is a fine-tuned version of muhtasham/olm-bert-tiny-december-2022 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6435
- Matthews Correlation: 0.1357
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 |
|---|---|---|---|---|
| 0.6114 | 1.87 | 500 | 0.6211 | 0.0 |
| 0.6043 | 3.73 | 1000 | 0.6161 | 0.0 |
| 0.5889 | 5.6 | 1500 | 0.6143 | 0.0559 |
| 0.5732 | 7.46 | 2000 | 0.6110 | 0.1161 |
| 0.552 | 9.33 | 2500 | 0.6157 | 0.1478 |
| 0.5393 | 11.19 | 3000 | 0.6218 | 0.1256 |
| 0.5178 | 13.06 | 3500 | 0.6344 | 0.1475 |
| 0.5066 | 14.93 | 4000 | 0.6435 | 0.1357 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2
