| language: | |
| - hi | |
| - gu | |
| - mr | |
| - ml | |
| - si | |
| - bh | |
| - pa | |
| - bn | |
| - as | |
| - en | |
| This model is the exclusive finetuning of 'Indo-Aryan-Abuse-Detection' model which was trained on approximately 1000 hindi labelled sentences. | |
| # Dataset details | |
| Train set for Gujarati zero shot: HASOC-2023 Gujarati tweets labelled (200 samples) | |
| Test set: HASOC-2023 Gujarati unlabelled tweets (approximately 1000 samples) | |
| # Training details | |
| 32 batches | |
| 20 epochs | |
| # Results | |
| Macro-F1: 0.7926 | |
| Macro precision: 0.7859 |