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@@ -93,7 +93,7 @@ This notebook sets up the NER model training on Google Colab with GPU. Use the f
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3. Create a `data` folder inside the folder you just created and upload the `train.spacy` and `val.spacy` files into it
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4. Create a `models` folder, this is where checkpoints will be saved during training
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5. Create an `evaluation-results` folder, this is where the evaluation results will be saved
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6. Create a copy of the `run_spacy_training.sh` and `run_evaluation.sh` files from `src/entity_extraction/training/spacy_ner` and place it in training run folder
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6. Create a copy of the `run_spacy_training.sh` and `run_evaluation.sh` files from `src/entity_extraction/training/spacy` and place it in training run folder
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