Final version classification with transformer
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dev-0/out.tsv
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dev-0/out.tsv
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@ -31,7 +31,7 @@ class CustomDataset(torch.utils.data.Dataset):
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tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
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model_path = "model/checkpoint-1500"
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model_path = "model/checkpoint-18500"
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model = BertForSequenceClassification.from_pretrained(model_path, num_labels=2)
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trainer = Trainer(model)
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test-A/out.tsv
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test-A/out.tsv
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289579
train/out.tsv
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train/out.tsv
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