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README.md
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### Training Procedure
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- Fine-tuned for
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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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- 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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## 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
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