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README.md
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@@ -80,7 +80,9 @@ We trained various models with binary-cross entropy loss and evaluated them on t
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| Flan-T5-base | 96.85 | 71.10 | 75.71 | 67.07 |
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### Recommended reading:
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[Finally, a decent multi-label classification benchmark is created: a prominent zero-shot dataset.](https://medium.com/p/4d90c9e1c718)
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### Feedback
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We value your input! Share your feedback and suggestions to help us improve our models and datasets.
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| Flan-T5-base | 96.85 | 71.10 | 75.71 | 67.07 |
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### Recommended reading:
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- Check the general overview of the dataset on Medium - [Finally, a decent multi-label classification benchmark is created: a prominent zero-shot dataset.](https://medium.com/p/4d90c9e1c718)
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- Try to train your own model on the datset - [ Multi-Label Classification Model From Scratch: Step-by-Step Tutorial ](https://huggingface.co/blog/Valerii-Knowledgator/multi-label-classification)
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### Feedback
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We value your input! Share your feedback and suggestions to help us improve our models and datasets.
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