init
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@@ -44,8 +44,8 @@ class VitTrainer:
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save_strategy="epoch",
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evaluation_strategy="epoch",
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learning_rate=2e-5,
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per_device_train_batch_size=381,
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per_device_eval_batch_size=381,
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per_device_train_batch_size=16,
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per_device_eval_batch_size=16,
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weight_decay=0.01,
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load_best_model_at_end=True,
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metric_for_best_model="accuracy",
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@@ -195,7 +195,8 @@ class VitTrainer:
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print("Data count: ", len(X))
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trans = transforms.ToPILImage()
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X = [trans(torch.tensor([x])) for x in X]
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#X = [trans(torch.tensor([x])) for x in X]
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X = [trans(torch.tensor(x)) for x in X]
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split_point1 = int(len(X) * 0.9)
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train_X = X[:split_point1]
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@@ -221,7 +222,7 @@ if __name__ == "__main__":
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stock_code = "252670"
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vitTrainer = VitTrainer(RESOURCE_PATH)
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train_ds, val_ds = vitTrainer.getData(stock_code, sDate="20200729", eDate="20200731")
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train_ds, val_ds = vitTrainer.getData(stock_code, sDate="20220701", eDate="20220731")
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vitTrainer.train(train_ds, val_ds, model_path)
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"""
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