params
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loss : mse
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metric : [mse,stoi]
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lr : 0.001
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ReduceLr_patience : 10
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ReduceLr_patience : 5
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ReduceLr_factor : 0.1
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min_lr : 0.000001
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EarlyStopping_factor : 20
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EarlyStopping_factor : 10
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@ -22,7 +22,7 @@ limit_predict_batches: 1.0
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limit_test_batches: 1.0
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limit_train_batches: 1.0
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limit_val_batches: 1.0
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log_every_n_steps: 50
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log_every_n_steps: 100
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max_epochs: 100
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max_time: null
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min_epochs: 1
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