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Update README.md

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@@ -9,11 +9,10 @@ datasets:
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  - shishir-dwi/News-Article-Categorization_IAB
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  - SetFit/qnli
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  - nyu-mll/multi_nli
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- - SetFit/student-question-categories
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- - SetFit/tweet_sentiment_extraction
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  - SetFit/hate_speech18
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  - saattrupdan/doc-nli
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-
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  language:
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  - en
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  - fr
@@ -27,6 +26,8 @@ tags:
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  - small language models
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  - RAG
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  - sentiment analysis
 
 
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  ---
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  # ⭐ GLiClass: Generalist and Lightweight Model for Sequence Classification
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@@ -116,5 +117,4 @@ Here you can see how the performance of the model grows providing more examples:
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  | gliclass-large-v1.0-init | Weak Supervision | 0.1689 | 0.7051 | 0.4586 | 0.4442 |
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  | gliclass-base-v1.0-init | 0 | 0.2048 | 0.5614 | 0.2865 | 0.3509 |
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  | gliclass-base-v1.0-init | 8 | 0.2007 | 0.8359 | 0.4856 | 0.5074 |
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- | gliclass-base-v1.0-init | Weak Supervision | 0.0681 | 0.6627 | 0.3066 | 0.3458 |
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-
 
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  - shishir-dwi/News-Article-Categorization_IAB
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  - SetFit/qnli
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  - nyu-mll/multi_nli
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+ - SetFit/student-question-categories
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+ - SetFit/tweet_sentiment_extraction
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  - SetFit/hate_speech18
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  - saattrupdan/doc-nli
 
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  language:
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  - en
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  - fr
 
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  - small language models
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  - RAG
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  - sentiment analysis
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+ base_model:
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+ - answerdotai/ModernBERT-base
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  ---
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  # ⭐ GLiClass: Generalist and Lightweight Model for Sequence Classification
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  | gliclass-large-v1.0-init | Weak Supervision | 0.1689 | 0.7051 | 0.4586 | 0.4442 |
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  | gliclass-base-v1.0-init | 0 | 0.2048 | 0.5614 | 0.2865 | 0.3509 |
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  | gliclass-base-v1.0-init | 8 | 0.2007 | 0.8359 | 0.4856 | 0.5074 |
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+ | gliclass-base-v1.0-init | Weak Supervision | 0.0681 | 0.6627 | 0.3066 | 0.3458 |