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HorikawaMegu/bert_japanese_complexity_finetune
bert_japanese_complexity_finetune is a text classification model from HorikawaMegu. Use it when you need a label for a piece of text. 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 tohoku-nlp/bert-base-japanese-v3 on the None 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 | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 242 | 0.7699 | 0.6725 | 0.6666 | 0.6726 | 0.6679 |
| No log | 2.0 | 484 | 0.7706 | 0.6529 | 0.6590 | 0.7061 | 0.6691 |
| 0.7752 | 3.0 | 726 | 0.7799 | 0.6767 | 0.6818 | 0.7212 | 0.6958 |