Datasets:

KVN-AI

/

CannaNBot

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Fine-tune the RoBERTa model: Fine-tune the RoBERTa model on your preprocessed data using a suitable optimizer and loss function. Train the model for multiple epochs until it reaches a satisfactory performance level.

Evaluate the fine-tuned RoBERTa model: Evaluate the fine-tuned RoBERTa model on the validation and testing datasets to measure its accuracy and efficiency.

Refine the fine-tuned RoBERTa model: Based on the evaluation results, refine the fine-tuned RoBERTa model by adjusting the hyperparameters, changing the optimizer or loss function, or tweaking the input data.