update roberta script
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dev-0/out.tsv
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dev-0/out.tsv
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@ -34,6 +34,8 @@ class IMDbDataset(torch.utils.data.Dataset):
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def prepare(data_train_X, data_train_Y):
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tokenizer = AutoTokenizer.from_pretrained(PRE_TRAINED)
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model = AutoModelForSequenceClassification.from_pretrained(PRE_TRAINED, num_labels=2)
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device = torch.device("cpu")
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model.to(device)
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encoded_input = tokenizer([text[0] for text in list(zip(data_train_X, data_train_Y))], truncation=True, padding=True)
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train_dataset = IMDbDataset(encoded_input , [int(text[1]) for text in list(zip(data_train_X, data_train_Y))])
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test-A/out.tsv
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test-A/out.tsv
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