Comments (4)
niwic
commented on July 30, 2024
1
I have also had similar issues, and wasted a lot of time on it, until i found this closed issue: #24. Apparently the real labels have been removed from the test data by the preprocessing script. I guess this is to prevent malicious submissions to the benchmark. It's easy enough to get your hands on the real labels though (ex. by modifying the script), so I dont really understand the rationale. This is probably why you are getting results close to 1/3 at least on XNLI, as there are three labels and the test data only has one fake label. Hope this helps.
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fe1ixxu
commented on July 30, 2024
I also met a similar issue. The XLNI number for De on the test set is 36.28% with xlmr encoder. Still not sure which step I misoperate.
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sebastianruder
commented on July 30, 2024
Hi, @niwic is correct. We mention that we remove the test labels in the README in this section. Closing this for now.
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niwic
commented on July 30, 2024
Ah, my bad, I must have missed that in the README somehow.
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Related Issues (20)
- explainaboard doesn't work
- There is no AmazonPhotos.zip in the link to download the dataset. How to download the dataset?
- WikiExtractor git cloning error HOT 2
- New tasks in xtreme-r HOT 5
- XLMR results on POS tagging (ja, zh and yo) HOT 2
- Unclear which transformers version should be used when testing Tatoeba HOT 6
- 2513 Segmentation fault: 11 when running Tatoeba HOT 1
- Cannot achieve the XNLI performance in the paper
- TypeError: compute_predictions_logits() takes 12 positional arguments but 13 were given
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- Old Russian in Russian UDpos dataset
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- Evaluation results of PANX task HOT 3
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