This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

accuracy

f1

: 0.8743

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

| Training Loss | Epoch | Step | Validation Loss |

accuracy

|

f1

| |:-------------:|:-----:|:----:|:---------------:|:------------:|:------:| | No log | 1.0 | 138 | 0.3084 | 0.8875 | 0.8346 | | No log | 2.0 | 276 | 0.2777 | 0.8875 | 0.8346 | | No log | 3.0 | 414 | 0.2674 | 0.8875 | 0.8346 | | 0.3257 | 4.0 | 552 | 0.2646 | 0.8833 | 0.8516 | | 0.3257 | 5.0 | 690 | 0.2627 | 0.8833 | 0.8743 | | 0.3257 | 6.0 | 828 | 0.2635 | 0.8792 | 0.8711 | | 0.3257 | 7.0 | 966 | 0.2686 | 0.8917 | 0.8806 |