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1from transformers import pipeline
2
3nlp = pipeline("sentiment-analysis", model="bardsai/finance-sentiment-ja-base")
4nlp("売上高は30%増の3,600万ユーロとなった。")[{'label': 'positive', 'score': 0.9987998807375955}]| Metric | Value |
|---|---|
| f1 macro | 0.959 |
| precision macro | 0.959 |
| recall macro | 0.959 |
| accuracy | 0.967 |
| samples per second | 134.9 |
ShareAlike requirement: because the base model is licensed under CC BY-SA, any further derivative of this model must also be distributed under the same license (CC BY-SA 3.0, or a later compatible CC BY-SA version).The base model's pretraining data (Japanese Wikipedia, snapshot 2019-09-01) is itself distributed under CC BY-SA 4.0.