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@@ -18,7 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # wangchanberta-hyperopt-sentiment-01
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- This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
 
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3595
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  - Accuracy: 0.9103
 
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  # wangchanberta-hyperopt-sentiment-01
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+ This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the Wisesight Sentiment dataset.
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+ The model is optimized for binary sentiment classification tasks, targeting two labels: positive and negative.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3595
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  - Accuracy: 0.9103