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@@ -8,7 +8,23 @@ metrics:
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  - f1
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  model-index:
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  - name: minilm-imdb
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  datasets:
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  - imdb
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  language:
@@ -21,7 +37,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # minilm-imdb
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- This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2403
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  - Accuracy: 0.9229
 
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  - f1
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  model-index:
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  - name: minilm-imdb
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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: imdb
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+ type: imdb
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+ config: default
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+ split: train
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+ args: default
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+ metrics:
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+ - name: accuracy
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+ type: accuracy
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+ value: 0.922880
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+ - name: f1
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+ type: f1
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+ value: 0.922831
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  datasets:
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  - imdb
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  language:
 
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  # minilm-imdb
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+ This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on imdb dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2403
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  - Accuracy: 0.9229