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intanm/20230429-001-baseline-mbert-no-qa-ft-clickbait-spoiling
20230429-001-baseline-mbert-no-qa-ft-clickbait-spoiling is a question answering model from intanm. Use it when the input is a question plus a passage. 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-multilingual-cased 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 | 200 | 3.3463 |
| No log | 2.0 | 400 | 3.1131 |
| 3.2437 | 3.0 | 600 | 3.3240 |
| 3.2437 | 4.0 | 800 | 3.4426 |
| 1.6579 | 5.0 | 1000 | 3.8462 |
| 1.6579 | 6.0 | 1200 | 4.1288 |
| 1.6579 | 7.0 | 1400 | 4.4595 |
| 0.753 | 8.0 | 1600 | 4.6898 |
| 0.753 | 9.0 | 1800 | 4.8666 |
| 0.4008 | 10.0 | 2000 | 4.9025 |