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@@ -8,7 +8,7 @@ metrics:
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  - accuracy
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  - f1
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  model-index:
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- - name: japanese-sentiment-analysis
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  results: []
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  ---
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@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # japanese-sentiment-analysis
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- This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0001
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  - Accuracy: 1.0
@@ -30,7 +30,7 @@ Model Train for Japanese sentence sentiments.
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  ## Intended uses & limitations
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  The model was trained on chABSA Japanese dataset.
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-
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  ### Training hyperparameters
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  - accuracy
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  - f1
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  model-index:
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+ - name: Japanese-sentiment-analysis
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  results: []
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  ---
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  # japanese-sentiment-analysis
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+ This model was trained from scratch on the chABSA dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0001
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  - Accuracy: 1.0
 
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  ## Intended uses & limitations
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  The model was trained on chABSA Japanese dataset.
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+ DATASET link : https://www.kaggle.com/datasets/takahirokubo0/chabsa
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  ### Training hyperparameters
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