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The "--predict_file ./data/test.json" file is labeled with questions and answers, and it's passed directly into predictions = compute_predictions_logits() for predictions in train.py.
If I want to use your model to do predictions on my own dataset, do I also need to label it in the same json format? Doesn't that defeat the purpose? Let me know if I am misunderstanding, but shouldn't the model predict on unlabeled, raw text file?
Thanks!
The text was updated successfully, but these errors were encountered:
The "--predict_file ./data/test.json" file is labeled with questions and answers, and it's passed directly into predictions = compute_predictions_logits() for predictions in train.py.
If I want to use your model to do predictions on my own dataset, do I also need to label it in the same json format? Doesn't that defeat the purpose? Let me know if I am misunderstanding, but shouldn't the model predict on unlabeled, raw text file?
Thanks!
@ShuJackson I'm also facing this issue. Were you able to figure it out?
The "--predict_file ./data/test.json" file is labeled with questions and answers, and it's passed directly into predictions = compute_predictions_logits() for predictions in train.py.
If I want to use your model to do predictions on my own dataset, do I also need to label it in the same json format? Doesn't that defeat the purpose? Let me know if I am misunderstanding, but shouldn't the model predict on unlabeled, raw text file?
Thanks!
The text was updated successfully, but these errors were encountered: