Neural-Semi-Supervised-Learning-for-Text-Classification
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Semi-supervised Learning for Sentiment Analysis
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here code `from metrics.classification import MaskedAccuracy` in tasks/roberta_lm/trainer.py cannot match to definition.
Hi: I got an error when initializing pretrained model by RobertaTokenizer. `self.tokenizer = RobertaTokenizer.from_pretrained("roberta-base") self.model = RobertaForMaskedLM.from_pretrained('roberta-base')` `OSError: Model name 'roberta-base' was not found in tokenizers model name list (roberta-base,...