NYCU-DM2024-Text-Classification
Collection
18 items
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Updated
This model is a fine-tuned version of microsoft/deberta-v3-small on the DandinPower/review_onlytitleandtext dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
---|---|---|---|---|---|
0.8942 | 1.14 | 500 | 0.8753 | 0.6316 | 0.6330 |
0.7816 | 2.29 | 1000 | 0.8880 | 0.633 | 0.6216 |
0.7231 | 3.43 | 1500 | 0.8827 | 0.632 | 0.6322 |
0.6145 | 4.57 | 2000 | 0.9674 | 0.6369 | 0.6329 |
0.4694 | 5.71 | 2500 | 1.0903 | 0.6249 | 0.6200 |
0.3611 | 6.86 | 3000 | 1.2490 | 0.6216 | 0.6249 |
0.278 | 8.0 | 3500 | 1.4194 | 0.6201 | 0.6230 |
0.1689 | 9.14 | 4000 | 1.6500 | 0.6229 | 0.6240 |
Base model
microsoft/deberta-v3-small