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ThuyNT03/CS505-GPT_T3vsLabel2T5_CSI-PhoBERT
CS505-GPT_T3vsLabel2T5_CSI-PhoBERT 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 | 332 | 0.1938 |
| 0.302 | 1.99 | 664 | 0.1052 |
| 0.302 | 2.99 | 996 | 0.0698 |
| 0.158 | 3.99 | 1328 | 0.0487 |
| 0.0811 | 4.98 | 1660 | 0.0182 |
| 0.0811 | 5.98 | 1992 | 0.0239 |
| 0.053 | 6.98 | 2324 | 0.0264 |
| 0.025 | 7.98 | 2656 | 0.0086 |
| 0.025 | 8.97 | 2988 | 0.0048 |
| 0.0135 | 9.97 | 3320 | 0.0035 |
| 0.0102 | 10.97 | 3652 | 0.0075 |
| 0.0102 | 11.96 | 3984 | 0.0027 |
| 0.0094 | 12.96 | 4316 | 0.0013 |
| 0.0057 | 13.96 | 4648 | 0.0005 |
| 0.0057 | 14.95 | 4980 | 0.0002 |