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  tags:
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  - generated_from_trainer
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  datasets:
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- - indonlu
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  metrics:
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  - accuracy
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  model-index:
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  - name: Accuracy
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  type: accuracy
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  value: 0.9261904761904762
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  - Loss: 0.4294
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  - Accuracy: 0.9262
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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  | 0.004 | 10.0 | 6880 | 0.5800 | 0.9175 |
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  ### Framework versions
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  - Transformers 4.14.1
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  - Pytorch 1.10.0+cu111
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  - Datasets 1.16.1
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- - Tokenizers 0.10.3
 
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - indonlp/indonlu
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  metrics:
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  - accuracy
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  model-index:
 
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  - name: Accuracy
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  type: accuracy
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  value: 0.9261904761904762
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+ language:
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+ - id
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  - Loss: 0.4294
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  - Accuracy: 0.9262
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  | 0.004 | 10.0 | 6880 | 0.5800 | 0.9175 |
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+ ### How to use this model in Transformers Library
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+
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+ ```python
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+ from transformers import pipeline
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+
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+ pipe = pipeline("text-classification", model="ayameRushia/roberta-base-indonesian-1.5G-sentiment-analysis-smsa")
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+
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+ pipe("Terima kasih atas bantuannya ya!")
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+
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+ ```
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+
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  ### Framework versions
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  - Transformers 4.14.1
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  - Pytorch 1.10.0+cu111
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  - Datasets 1.16.1
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+ - Tokenizers 0.10.3