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bob-bob-bob-3/classification-hate-speech-DE-2
classification-hate-speech-DE-2 is a text classification model from bob-bob-bob-3. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of indolem/indobertweet-base-uncased on the None dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
|---|---|---|---|---|---|---|
| 1.3119 | 1.0 | 152 | 1.0717 | 0.4111 | 0.6682 | 0.4701 |
| 0.717 | 2.0 | 304 | 1.2404 | 0.3989 | 0.6063 | 0.5128 |
| 0.4124 | 3.0 | 456 | 1.5531 | 0.4029 | 0.6116 | 0.5286 |
| 0.1543 | 4.0 | 608 | 2.4557 | 0.3507 | 0.5427 | 0.5053 |
| 0.0445 | 5.0 | 760 | 2.6602 | 0.3950 | 0.5707 | 0.5254 |
| 0.1482 | 6.0 | 912 | 2.8551 | 0.3990 | 0.5643 | 0.5533 |
| 0.0016 | 7.0 | 1064 | 2.6333 | 0.4016 | 0.6096 | 0.5128 |
| 0.0012 | 8.0 | 1216 | 2.7488 | 0.3970 | 0.6019 | 0.5206 |
| 0.0008 | 9.0 | 1368 | 2.8494 | 0.3989 | 0.6025 | 0.5203 |
| 0.0005 | 10.0 | 1520 | 3.0943 | 0.3886 | 0.5799 | 0.5228 |
| 0.0005 | 11.0 | 1672 | 3.0410 | 0.3896 | 0.5872 | 0.5132 |
| 0.0006 | 12.0 | 1824 | 3.0730 | 0.4022 | 0.5912 | 0.5379 |
| 0.0004 | 13.0 | 1976 | 3.0387 | 0.3928 | 0.5910 | 0.5206 |
| 0.0005 | 14.0 | 2128 | 3.0522 | 0.3925 | 0.5885 | 0.5201 |