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ThuyNT03/CS505-NerCSI-PhoBERT_v2
CS505-NerCSI-PhoBERT_v2 is a text classification model from ThuyNT03. Use it when you need a label for a piece of text. It is set up for transformers.
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 vinai/phobert-base-v2 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 |
|---|---|---|---|
| No log | 1.0 | 369 | 0.3216 |
| 0.4522 | 2.0 | 738 | 0.2479 |
| 0.2944 | 3.0 | 1107 | 0.2174 |
| 0.2944 | 4.0 | 1476 | 0.1441 |
| 0.2264 | 5.0 | 1845 | 0.1032 |
| 0.1526 | 6.0 | 2214 | 0.0730 |
| 0.1058 | 7.0 | 2583 | 0.0611 |
| 0.1058 | 8.0 | 2952 | 0.0415 |
| 0.0733 | 9.0 | 3321 | 0.0333 |
| 0.0459 | 10.0 | 3690 | 0.0295 |