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Park-Hip-02/token-classification
token-classification is a token classification model from Park-Hip-02. 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 distilbert/distilbert-base-uncased on the wnut_17 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 |
|---|---|---|---|---|---|---|---|
| 0.1128 | 1.0 | 213 | 0.2483 | 0.5240 | 0.3744 | 0.4368 | 0.9445 |
| 0.0775 | 2.0 | 426 | 0.2569 | 0.5474 | 0.3744 | 0.4447 | 0.9452 |