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Buseak/vowelizer_1203_v5
vowelizer_1203_v5 is a token classification model from Buseak. 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 Buseak/vowelizer_1203_v3 on the None dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0467 | 1.0 | 967 | 0.0211 | 0.9903 | 0.9860 | 0.9881 | 0.9937 |
| 0.0311 | 2.0 | 1934 | 0.0124 | 0.9943 | 0.9917 | 0.9930 | 0.9962 |
| 0.0235 | 3.0 | 2901 | 0.0078 | 0.9965 | 0.9952 | 0.9959 | 0.9976 |
| 0.0179 | 4.0 | 3868 | 0.0049 | 0.9976 | 0.9968 | 0.9972 | 0.9985 |
| 0.0138 | 5.0 | 4835 | 0.0033 | 0.9982 | 0.9979 | 0.9981 | 0.9991 |
| 0.0115 | 6.0 | 5802 | 0.0023 | 0.9985 | 0.9985 | 0.9985 | 0.9993 |
| 0.0098 | 7.0 | 6769 | 0.0015 | 0.9991 | 0.9990 | 0.9990 | 0.9996 |
| 0.0081 | 8.0 | 7736 | 0.0011 | 0.9993 | 0.9992 | 0.9993 | 0.9997 |
| 0.0068 | 9.0 | 8703 | 0.0008 | 0.9994 | 0.9994 | 0.9994 | 0.9997 |
| 0.0062 | 10.0 | 9670 | 0.0006 | 0.9995 | 0.9996 | 0.9996 | 0.9998 |
| 0.0053 | 11.0 | 10637 | 0.0005 | 0.9995 | 0.9996 | 0.9996 | 0.9998 |
| 0.0046 | 12.0 | 11604 | 0.0004 | 0.9997 | 0.9997 | 0.9997 | 0.9999 |
| 0.0039 | 13.0 | 12571 | 0.0003 | 0.9998 | 0.9998 | 0.9998 | 0.9999 |
| 0.0036 | 14.0 | 13538 | 0.0002 | 0.9998 | 0.9998 | 0.9998 | 0.9999 |
| 0.003 | 15.0 | 14505 | 0.0002 | 0.9999 | 0.9999 | 0.9999 | 1.0000 |
| 0.0026 | 16.0 | 15472 | 0.0002 | 0.9999 | 0.9999 | 0.9999 | 1.0000 |
| 0.0023 | 17.0 | 16439 | 0.0001 | 0.9999 | 0.9999 | 0.9999 | 1.0000 |
| 0.0022 | 18.0 | 17406 | 0.0001 | 1.0000 | 1.0000 | 1.0000 | 1.0000 |
| 0.002 | 19.0 | 18373 | 0.0001 | 1.0000 | 1.0000 | 1.0000 | 1.0000 |
| 0.0018 | 20.0 | 19340 | 0.0001 | 1.0000 | 1.0000 | 1.0000 | 1.0000 |