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--- |
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license: apache-2.0 |
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datasets: |
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- kornwtp/indonlu-smsa |
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language: |
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- id |
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metrics: |
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- accuracy |
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- f1 |
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- precision |
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- recall |
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base_model: |
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- indolem/indobertweet-base-uncased |
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pipeline_tag: text-classification |
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library_name: transformers |
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--- |
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## IndoBERTweet finetuned with IndoNLU smsa_doc-sentiment-prosa (Positive and Negative Sentiment Only) |
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## Training Details |
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<table border="1"> |
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<thead> |
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<tr> |
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<th>Epoch</th> |
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<th>Training Loss</th> |
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<th>Validation Loss</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>1</td> |
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<td>0.149900</td> |
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<td>0.139475</td> |
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</tr> |
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<tr> |
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<td>2</td> |
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<td>0.131600</td> |
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<td>0.143117</td> |
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</tr> |
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<tr> |
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<td>3</td> |
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<td>0.036600</td> |
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<td>0.192144</td> |
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</tr> |
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</tbody> |
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</table> |
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## Evaluation |
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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> |
