This model is a fine-tuned version of muhtasham/small-mlm-glue-cola on the None dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
|---|---|---|---|---|---|
| 0.8465 | 2.78 | 500 | 0.6385 | 0.8629 | 0.8640 |
| 0.3057 | 5.56 | 1000 | 0.6068 | 0.8672 | 0.8660 |
| 0.1832 | 8.33 | 1500 | 0.6459 | 0.8605 | 0.8577 |
| 0.1291 | 11.11 | 2000 | 0.6158 | 0.8675 | 0.8646 |
| 0.1023 | 13.89 | 2500 | 0.6053 | 0.8692 | 0.8664 |
| 0.0842 | 16.67 | 3000 | 0.6038 | 0.8703 | 0.8667 |
| 0.0715 | 19.44 | 3500 | 0.5854 | 0.8718 | 0.8686 |
| 0.0631 | 22.22 | 4000 | 0.5695 | 0.8729 | 0.8692 |
| 0.0575 | 25.0 | 4500 | 0.5868 | 0.8716 | 0.8685 |
| 0.0525 | 27.78 | 5000 | 0.5924 | 0.8702 | 0.8670 |
pytorch_model.bin 115 MBtraining_args.bin 3.5 kB