See the relevant 🤗 Model Card for this large multilabel text classificaiton model that I fine-tuned atop the RoBERTa-base checkpoint. This model utilizes a set of classes constructed as a work around to a current bug in the 🤗 Evaluate library. The temporary code can be found in the custom_eval_classes folder, as well as under 🤗 Spaces where it is briefly demonstrated. The distributed training notebook is found in the RoBERTa-base-DReiFT.ipynb file.
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Training and Evaluation notebook for RoBERTa-base-DReiFT multilabel text classification model
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