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:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4885 | 0.15 | 500 | 0.3947 | 0.8276 |
| 0.4456 | 0.31 | 1000 | 0.3832 | 0.8320 |
| 0.4233 | 0.46 | 1500 | 0.3624 | 0.8407 |
| 0.4146 | 0.61 | 2000 | 0.3784 | 0.8373 |
| 0.4125 | 0.76 | 2500 | 0.3452 | 0.8468 |
| 0.3929 | 0.92 | 3000 | 0.3370 | 0.8578 |
| 0.3541 | 1.07 | 3500 | 0.3425 | 0.8532 |
| 0.3174 | 1.22 | 4000 | 0.3474 | 0.8570 |
| 0.3167 | 1.37 | 4500 | 0.3565 | 0.8497 |
pytorch_model.bin 115 MBtraining_args.bin 3.5 kB