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SiddharthaM/mbert-hate-final-1
mbert-hate-final-1 is a text classification model from SiddharthaM. 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. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of bert-base-multilingual-cased 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 | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 296 | 0.5531 | 0.6835 | 0.6803 | 0.6835 | 0.6812 |
| 0.5365 | 2.0 | 592 | 0.5304 | 0.7405 | 0.7432 | 0.7405 | 0.7302 |
| 0.5365 | 3.0 | 888 | 0.5526 | 0.7310 | 0.7334 | 0.7310 | 0.7195 |
| 0.4318 | 4.0 | 1184 | 0.6142 | 0.7186 | 0.7153 | 0.7186 | 0.7136 |
| 0.4318 | 5.0 | 1480 | 0.6420 | 0.7243 | 0.7227 | 0.7243 | 0.7162 |
| 0.3507 | 6.0 | 1776 | 0.6751 | 0.7272 | 0.7260 | 0.7272 | 0.7188 |