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hugo-albert/roberta-large-pos
roberta-large-pos is a token classification model from hugo-albert. Use it when you need labels on individual words, such as names. 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 PlanTL-GOB-ES/roberta-large-bne on an unknown 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2213 | 1.0 | 603 | 0.0835 | 0.9761 | 0.9807 | 0.9784 | 0.9800 |
| 0.0336 | 2.0 | 1206 | 0.0756 | 0.9794 | 0.9832 | 0.9813 | 0.9808 |
| 0.0147 | 3.0 | 1809 | 0.0721 | 0.9821 | 0.9856 | 0.9838 | 0.9845 |