NYCU-DM2024-Text-Classification
Collection
18 items
•
Updated
This model is a fine-tuned version of microsoft/deberta-v2-xxlarge 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 |
---|---|---|---|---|---|
0.9641 | 0.46 | 200 | 0.8451 | 0.6327 | 0.6341 |
0.8263 | 0.91 | 400 | 0.7768 | 0.6651 | 0.6650 |
0.7605 | 1.37 | 600 | 0.7842 | 0.667 | 0.6667 |
0.7496 | 1.83 | 800 | 0.7790 | 0.6659 | 0.6650 |
0.7034 | 2.29 | 1000 | 0.7738 | 0.67 | 0.6639 |
0.7134 | 2.74 | 1200 | 0.7671 | 0.6694 | 0.6698 |
0.6839 | 3.2 | 1400 | 0.7754 | 0.6743 | 0.6770 |
0.6699 | 3.66 | 1600 | 0.7853 | 0.6711 | 0.6666 |
0.6502 | 4.11 | 1800 | 0.7789 | 0.671 | 0.6692 |
0.6431 | 4.57 | 2000 | 0.7864 | 0.6741 | 0.6719 |
Base model
microsoft/deberta-v2-xxlarge