Update README.md
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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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language:
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- en
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- fr
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@@ -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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- 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 |
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