Plainly Optimized Network
Dataset: SUPERGLUE
Trainer Hyperparameters:
lr= 5e-05per_device_batch_size= 8gradient_accumulation_steps= 2weight_decay= 1e-09seed= 42
| eval_loss | eval_accuracy | epoch |
|---|---|---|
| 20.646 | 0.587 | 1.0 |
| 20.427 | 0.609 | 2.0 |
| 20.235 | 0.580 | 3.0 |
| 19.325 | 0.623 | 4.0 |
| 19.596 | 0.623 | 5.0 |
| 18.737 | 0.717 | 6.0 |
| 18.698 | 0.717 | 7.0 |
| 18.311 | 0.725 | 8.0 |
| 18.347 | 0.739 | 9.0 |
| 18.437 | 0.710 | 10.0 |
| 17.924 | 0.717 | 11.0 |
| 18.021 | 0.732 | 12.0 |
| 17.819 | 0.739 | 13.0 |
| 18.181 | 0.725 | 14.0 |
| 18.062 | 0.732 | 15.0 |
| 18.068 | 0.725 | 16.0 |
| 18.177 | 0.717 | 17.0 |
| 17.865 | 0.732 | 18.0 |
| 17.977 | 0.732 | 19.0 |
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