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arndri
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indobertweet-finetuned-indonlu-smsa

Text Classification
Transformers
Safetensors
Indonesian
bert
Inference Endpoints
Model card Files Community
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@@ -50,11 +50,52 @@ base_model:
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  <!-- This section describes the evaluation protocols and provides the results. -->
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- precision recall f1-score support
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-
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- Positive 0.98 0.94 0.96 1098
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- Negative 0.89 0.96 0.93 601
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-
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- accuracy 0.95 1699
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- macro avg 0.93 0.95 0.94 1699
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- weighted avg 0.95 0.95 0.95 1699
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  <!-- This section describes the evaluation protocols and provides the results. -->
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+ <table border="1">
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+ <thead>
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+ <tr>
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+ <th>Class</th>
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+ <th>Precision</th>
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+ <th>Recall</th>
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+ <th>F1-Score</th>
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+ <th>Support</th>
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+ </tr>
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+ </thead>
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+ <tbody>
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+ <tr>
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+ <td>Positive</td>
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+ <td>0.98</td>
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+ <td>0.94</td>
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+ <td>0.96</td>
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+ <td>1098</td>
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+ </tr>
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+ <tr>
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+ <td>Negative</td>
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+ <td>0.89</td>
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+ <td>0.96</td>
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+ <td>0.93</td>
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+ <td>601</td>
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+ </tr>
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+ <tr>
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+ <td colspan="5"></td>
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+ </tr>
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+ <tr>
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+ <td>Accuracy</td>
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+ <td colspan="3">0.95</td>
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+ <td>1699</td>
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+ </tr>
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+ <tr>
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+ <td>Macro Avg</td>
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+ <td>0.93</td>
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+ <td>0.95</td>
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+ <td>0.94</td>
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+ <td>1699</td>
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+ </tr>
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+ <tr>
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+ <td>Weighted Avg</td>
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+ <td>0.95</td>
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+ <td>0.95</td>
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+ <td>0.95</td>
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+ <td>1699</td>
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+ </tr>
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+ </tbody>
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+ </table>