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

: 0.8776

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The following hyperparameters were used during training:

| Training Loss | Epoch | Step | Validation Loss |

accuracy

|

f1

| |:-------------:|:-----:|:----:|:---------------:|:------------:|:------:| | No log | 1.0 | 138 | 0.3032 | 0.8875 | 0.8346 | | No log | 2.0 | 276 | 0.2725 | 0.8875 | 0.8346 | | No log | 3.0 | 414 | 0.2631 | 0.8875 | 0.8346 | | 0.3293 | 4.0 | 552 | 0.2582 | 0.9 | 0.8681 | | 0.3293 | 5.0 | 690 | 0.2566 | 0.8958 | 0.8776 | | 0.3293 | 6.0 | 828 | 0.2606 | 0.8833 | 0.8743 | | 0.3293 | 7.0 | 966 | 0.2612 | 0.8917 | 0.8832 |