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Farshid/bert-large-uncased-financial-phrasebank-allagree2
bert-large-uncased-financial-phrasebank-allagree2 is a text classification model from Farshid. 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 bert-large-uncased on the financial_phrasebank 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 | F1 |
|---|---|---|---|---|---|
| 0.3209 | 1.0 | 227 | 0.1929 | 0.9558 | 0.9551 |
| 0.0821 | 2.0 | 454 | 0.0994 | 0.9867 | 0.9867 |
| 0.04 | 3.0 | 681 | 0.0685 | 0.9867 | 0.9866 |
| 0.0098 | 4.0 | 908 | 0.0980 | 0.9867 | 0.9867 |
| 0.0003 | 5.0 | 1135 | 0.0734 | 0.9912 | 0.9911 |