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

: 0.6535

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 | 122 | 0.8079 | 0.6854 | 0.6227 | | No log | 2.0 | 244 | 0.7667 | 0.6808 | 0.6164 | | No log | 3.0 | 366 | 0.7454 | 0.6901 | 0.6251 | | No log | 4.0 | 488 | 0.7547 | 0.6808 | 0.6173 | | 0.677 | 5.0 | 610 | 0.7427 | 0.6854 | 0.6401 | | 0.677 | 6.0 | 732 | 0.7346 | 0.7136 | 0.6696 | | 0.677 | 7.0 | 854 | 0.7412 | 0.7371 | 0.7111 | | 0.677 | 8.0 | 976 | 0.7635 | 0.7230 | 0.6936 |