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

: 0.8806

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The following hyperparameters were used during training:

| Training Loss | Epoch | Step | Validation Loss |

accuracy

|

f1

| |:-------------:|:-----:|:----:|:---------------:|:------------:|:------:| | No log | 1.0 | 138 | 0.3036 | 0.8875 | 0.8346 | | No log | 2.0 | 276 | 0.2692 | 0.8875 | 0.8346 | | No log | 3.0 | 414 | 0.2650 | 0.9042 | 0.8711 | | 0.3262 | 4.0 | 552 | 0.2608 | 0.8917 | 0.8708 | | 0.3262 | 5.0 | 690 | 0.2602 | 0.8917 | 0.8806 | | 0.3262 | 6.0 | 828 | 0.2622 | 0.8708 | 0.8675 | | 0.3262 | 7.0 | 966 | 0.2673 | 0.8792 | 0.8737 |