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@@ -92,7 +92,7 @@ Trained exclusively on synthetic multilingual data generated by advanced LLMs, e
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  ### Training Procedure
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- - Fine-tuned for 5 epochs.
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  - Achieved a train_acc_off_by_one of approximately 0.93 on the validation dataset.
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  ## Intended Use
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  print(f"Sentiment: {sentiment}\n")
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  ```
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- ## Training Procedure
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-
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- - Dataset: Synthetic multilingual data
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- - Framework: PyTorch Lightning
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- - Number of epochs: 5
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- - Validation Off-by-one Accuracy: ~0.95
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-
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  ## Ethical Considerations
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  Synthetic data reduces bias, but validation in real-world scenarios is advised.
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  ## Contact
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- For inquiries, private APIs, better models, contact info@tabularis.ai
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  tabularis.ai
 
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  ### Training Procedure
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+ - Fine-tuned for 3 epochs.
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  - Achieved a train_acc_off_by_one of approximately 0.93 on the validation dataset.
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  ## Intended Use
 
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  print(f"Sentiment: {sentiment}\n")
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  ```
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  ## Ethical Considerations
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  Synthetic data reduces bias, but validation in real-world scenarios is advised.
 
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  ## Contact
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+ For inquiries, data, private APIs, better models, contact info@tabularis.ai
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  tabularis.ai