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README.md
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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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#
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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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### 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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## Training and evaluation data
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**Trained on:**
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