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@@ -7,7 +7,7 @@ metrics:
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  - accuracy
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  - f1
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  model-index:
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- - name: roberta-base-emotion-prediction-phr-2
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  results: []
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  datasets:
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  - vibhorag101/sem_eval_2018_task_1_english_cleaned_labels
@@ -20,7 +20,7 @@ pipeline_tag: text-classification
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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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  should probably proofread and complete it, then remove this comment. -->
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- # roberta-base-emotion-prediction-phr-2
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
 
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  - accuracy
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  - f1
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  model-index:
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+ - name: roberta-base-emotion-prediction-phr
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  results: []
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  datasets:
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  - vibhorag101/sem_eval_2018_task_1_english_cleaned_labels
 
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # roberta-base-emotion-prediction-phr
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set: