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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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- # ro-sentiment-03
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  This model is a fine-tuned version of [readerbench/RoBERT-base](https://huggingface.co/readerbench/RoBERT-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - F1: 0.8652
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  - F1 Weighted: 0.8287
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  ### Evaluation on other datasets
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  **SENT_RO**
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  Biased towards Product reviews.
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  ## Training and evaluation data
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  **Trained on:**
 
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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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+ # RO-Sentiment
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  This model is a fine-tuned version of [readerbench/RoBERT-base](https://huggingface.co/readerbench/RoBERT-base) on the None dataset.
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  It achieves the following results on the evaluation set:
 
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  - F1: 0.8652
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  - F1 Weighted: 0.8287
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+ Output labels:
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+ - LABEL_0 = Negative Sentiment
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+ - LABEL_1 = Positive Sentiment
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+
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  ### Evaluation on other datasets
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  **SENT_RO**
 
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  Biased towards Product reviews.
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+ There is no "neutral" sentiment label.
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+
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  ## Training and evaluation data
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  **Trained on:**