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

: 0.6114

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The following hyperparameters were used during training:

| Training Loss | Epoch | Step | Validation Loss |

accuracy

|

f1

| |:-------------:|:-----:|:----:|:---------------:|:------------:|:------:| | No log | 1.0 | 122 | 0.9864 | 0.5493 | 0.4968 | | No log | 2.0 | 244 | 0.8840 | 0.5915 | 0.5348 | | No log | 3.0 | 366 | 0.8374 | 0.6432 | 0.5844 | | No log | 4.0 | 488 | 0.8469 | 0.6432 | 0.5831 | | 0.7831 | 5.0 | 610 | 0.8344 | 0.6714 | 0.6161 | | 0.7831 | 6.0 | 732 | 0.8190 | 0.6620 | 0.6114 | | 0.7831 | 7.0 | 854 | 0.8294 | 0.6808 | 0.6433 | | 0.7831 | 8.0 | 976 | 0.8389 | 0.6667 | 0.6295 |