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

: 0.8708

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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 | 0.2720 | 0.8875 | 0.8346 | | No log | 3.0 | 414 | 0.2625 | 0.9 | 0.8627 | | 0.3287 | 4.0 | 552 | 0.2598 | 0.8917 | 0.8708 | | 0.3287 | 5.0 | 690 | 0.2598 | 0.8833 | 0.8648 | | 0.3287 | 6.0 | 828 | 0.2645 | 0.8792 | 0.8683 |