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Update README.md

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@@ -6,7 +6,7 @@ language:
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  - en
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  metrics:
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  - f1
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- pipeline_tag: text-classification
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  tags:
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  - text classification
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  - zero-shot
@@ -51,6 +51,7 @@ for result in results:
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  Below, you can see the F1 score on several text classification datasets. All tested models were not fine-tuned on those datasets and were tested in a zero-shot setting.
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  | Model | IMDB | AG_NEWS | Emotions |
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  |-----------------------------|------|---------|----------|
 
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  | [gliclass-small-v1.0 (144 M)](https://huggingface.co/knowledgator/gliclass-small-v1.0) | 0.8650 | 0.6805 | 0.4664 |
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  | [Bart-large-mnli (407 M)](https://huggingface.co/facebook/bart-large-mnli) | 0.89 | 0.6887 | 0.3765 |
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  | [Deberta-base-v3 (184 M)](https://huggingface.co/cross-encoder/nli-deberta-v3-base) | 0.85 | 0.6455 | 0.5095 |
 
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  - en
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  metrics:
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  - f1
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+ pipeline_tag: zero-shot-classification
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  tags:
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  - text classification
12
  - zero-shot
 
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  Below, you can see the F1 score on several text classification datasets. All tested models were not fine-tuned on those datasets and were tested in a zero-shot setting.
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  | Model | IMDB | AG_NEWS | Emotions |
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  |-----------------------------|------|---------|----------|
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+ | [gliclass-base-v1.0 (186 M)](https://huggingface.co/knowledgator/gliclass-base-v1.0) | 0.8650 | 0.6837 | 0.4749 |
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  | [gliclass-small-v1.0 (144 M)](https://huggingface.co/knowledgator/gliclass-small-v1.0) | 0.8650 | 0.6805 | 0.4664 |
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  | [Bart-large-mnli (407 M)](https://huggingface.co/facebook/bart-large-mnli) | 0.89 | 0.6887 | 0.3765 |
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  | [Deberta-base-v3 (184 M)](https://huggingface.co/cross-encoder/nli-deberta-v3-base) | 0.85 | 0.6455 | 0.5095 |