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SiddharthaM/xlm-roberta-hate-final
xlm-roberta-hate-final 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 mit.
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 xlm-roberta-base 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 | 0.4747 | 0.7652 | 0.8023 | 0.7652 | 0.7456 |
| 0.5446 | 2.0 | 592 | 0.4620 | 0.7918 | 0.8183 | 0.7918 | 0.7789 |
| 0.5446 | 3.0 | 888 | 0.4580 | 0.8042 | 0.8144 | 0.8042 | 0.7971 |
| 0.453 | 4.0 | 1184 | 0.4534 | 0.7985 | 0.8071 | 0.7985 | 0.7915 |
| 0.453 | 5.0 | 1480 | 0.4749 | 0.8051 | 0.8147 | 0.8051 | 0.7983 |
| 0.406 | 6.0 | 1776 | 0.4961 | 0.8061 | 0.8145 | 0.8061 | 0.7997 |