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qfrodicio/bert-finetuned-gesture-prediction-21-classes
bert-finetuned-gesture-prediction-21-classes is a token classification model from qfrodicio. 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 bert-base-cased 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 |
|---|---|---|---|---|---|---|---|
| 2.2133 | 1.0 | 26 | 1.4161 | 0.7074 | 0.7074 | 0.7074 | 0.6642 |
| 1.1038 | 2.0 | 52 | 0.9797 | 0.7678 | 0.7678 | 0.7678 | 0.7521 |
| 0.6732 | 3.0 | 78 | 0.9139 | 0.7908 | 0.7908 | 0.7908 | 0.7738 |
| 0.4167 | 4.0 | 104 | 0.9106 | 0.7978 | 0.7978 | 0.7978 | 0.7826 |
| 0.2739 | 5.0 | 130 | 0.9295 | 0.8017 | 0.8017 | 0.8017 | 0.7883 |
| 0.1772 | 6.0 | 156 | 0.9294 | 0.8116 | 0.8116 | 0.8116 | 0.7989 |
| 0.1223 | 7.0 | 182 | 0.9899 | 0.8085 | 0.8085 | 0.8085 | 0.7964 |
| 0.0916 | 8.0 | 208 | 1.0156 | 0.8130 | 0.8130 | 0.8130 | 0.8012 |
| 0.0656 | 9.0 | 234 | 1.0234 | 0.8136 | 0.8136 | 0.8136 | 0.8025 |
| 0.0563 | 10.0 | 260 | 1.0260 | 0.8125 | 0.8125 | 0.8125 | 0.8022 |