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README.md
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# test-trainer
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.2337
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- Accuracy: 0.9169
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## Model description
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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# test-trainer
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the cryptocurrency dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2337
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- Accuracy: 0.9169
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## Model description
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intent search detection :
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Navigational: Users want to find a specific page (e.g., “reddit login”)
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Informational: Users want to learn more about something (e.g., “what is seo”)
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Commercial: Users want to do research before making a purchase decision (e.g., “best coffee maker”)
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Transactional: Users want to complete a specific action, usually a purchase (e.g., “buy subaru forester”)
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### Training hyperparameters
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