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planghimire/results_xlm_roberta
results_xlm_roberta is a text classification model from planghimire. 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. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
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More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.1064 | 1.0 | 212 | 0.0446 | 0.9858 | 0.9860 | 0.9858 | 0.9858 |
| 0.0406 | 2.0 | 424 | 0.0302 | 0.9953 | 0.9953 | 0.9953 | 0.9953 |
| 0.0184 | 3.0 | 636 | 0.0145 | 0.9971 | 0.9971 | 0.9971 | 0.9971 |
| 0.0054 | 4.0 | 848 | 0.0096 | 0.9976 | 0.9977 | 0.9976 | 0.9976 |