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@@ -9,7 +9,18 @@ metrics:
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  - f1
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  model-index:
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  - name: multilingual_minilm-amazon_massive-intent_eu7
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- results: []
 
 
 
 
 
 
 
 
 
 
 
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  datasets:
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  - AmazonScience/massive
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  language:
@@ -27,7 +38,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # multilingual_minilm-amazon_massive-intent_eu7
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- This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.8238
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  - Accuracy: 0.8623
 
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  - f1
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  model-index:
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  - name: multilingual_minilm-amazon_massive-intent_eu7
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+ results:
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+ - task:
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+ name: text-classification
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+ type: text-classification
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+ dataset:
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+ name: MASSIVE
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+ type: AmazonScience/massive
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+ split: test
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+ metrics:
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+ - name: F1
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+ type: f1
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+ value: 0.8623
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  datasets:
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  - AmazonScience/massive
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  language:
 
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  # multilingual_minilm-amazon_massive-intent_eu7
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+ This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on the [MASSIVE 1.1](https://huggingface.co/datasets/AmazonScience/massive) dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.8238
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  - Accuracy: 0.8623