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

: 0.6365

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The following hyperparameters were used during training:

| Training Loss | Epoch | Step | Validation Loss |

accuracy

|

f1

| |:-------------:|:-----:|:----:|:---------------:|:------------:|:------:| | No log | 1.0 | 122 | 0.8223 | 0.6854 | 0.6247 | | No log | 2.0 | 244 | 0.7744 | 0.6808 | 0.6193 | | No log | 3.0 | 366 | 0.7505 | 0.6995 | 0.6365 | | No log | 4.0 | 488 | 0.7681 | 0.6808 | 0.6165 | | 0.6954 | 5.0 | 610 | 0.7585 | 0.6995 | 0.6355 |