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# zeroshot-classification-test4
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This model is a fine-tuned version of [MoritzLaurer/deberta-v3-base-zeroshot-v1.1-all-33](https://huggingface.co/MoritzLaurer/deberta-v3-base-zeroshot-v1.1-all-33) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.4552
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- F1 Macro: 0.8589
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- F1 Micro: 0.859
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- Accuracy Balanced: 0.8590
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- Accuracy: 0.859
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- Precision Macro: 0.8596
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- Recall Macro: 0.8590
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- Precision Micro: 0.859
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- Recall Micro: 0.859
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## Model description
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More information needed
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## Intended uses & limitations
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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# zeroshot-classification-test4
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This model is a fine-tuned version of [MoritzLaurer/deberta-v3-base-zeroshot-v1.1-all-33](https://huggingface.co/MoritzLaurer/deberta-v3-base-zeroshot-v1.1-all-33) on the michaelp11/wiki-tags dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4552
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- F1 Micro: 0.859
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- Accuracy: 0.859
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- Precision Micro: 0.859
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- Recall Micro: 0.859
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## Intended uses & limitations
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Zeroshot classification for german - yay.
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### Training hyperparameters
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