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4TB-USTC/nlp_sc_based_on_bert
nlp_sc_based_on_bert is a text classification model from 4TB-USTC. 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-base-uncased 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 459 | 0.4862 | 0.7819 | 0.8616 |
| 0.5416 | 2.0 | 918 | 0.5299 | 0.8480 | 0.8942 |
| 0.3661 | 3.0 | 1377 | 0.6462 | 0.8431 | 0.8904 |
| 0.2027 | 4.0 | 1836 | 0.7761 | 0.8431 | 0.8923 |
| 0.1227 | 5.0 | 2295 | 0.9341 | 0.8554 | 0.9002 |
| 0.0486 | 6.0 | 2754 | 1.0655 | 0.8382 | 0.8850 |
| 0.029 | 7.0 | 3213 | 1.2886 | 0.8284 | 0.8833 |
| 0.0281 | 8.0 | 3672 | 1.2164 | 0.8431 | 0.8937 |
| 0.0109 | 9.0 | 4131 | 1.2515 | 0.8407 | 0.8904 |
| 0.0049 | 10.0 | 4590 | 1.2481 | 0.8333 | 0.8840 |