modified: Figure_1.png
modified: checkpoints/forward/best_tcn_model.pt modified: checkpoints/forward/training_history.csv new file: checkpoints_mlp/task1_feature_mlp/best_feature_mlp.pt new file: checkpoints_mlp/task1_feature_mlp/training_history.csv new file: checkpoints_rms/forward_rms/best_rms_model.pt new file: checkpoints_rms/forward_rms/training_history.csv modified: evaluation_outputs/forward/evaluation_forward_test_b0_s0.png new file: evaluation_outputs/forward/evaluation_forward_val_b0_s0.png new file: evaluation_outputs/forward/evaluation_forward_val_b3_s0.png new file: evaluation_outputs/forward_rms/evaluation_test_all_samples.csv new file: evaluation_outputs/forward_rms/evaluation_test_s0.png new file: evaluation_outputs/forward_rms/evaluation_train_all_samples.csv new file: evaluation_outputs/forward_rms/evaluation_val_all_samples.csv new file: evaluation_outputs/forward_rms/evaluation_val_s0.png new file: evaluation_outputs/forward_rms/evaluation_val_s0_waveform.png new file: evaluation_outputs/task1_feature_mlp/evaluation_train_all_samples.csv new file: evaluation_outputs/task1_feature_mlp/evaluation_train_curve.png new file: evaluation_outputs/task1_feature_mlp/evaluation_val_all_samples.csv new file: evaluation_outputs/task1_feature_mlp/evaluation_val_curve.png new file: evaluation_outputs/task1_feature_mlp/evaluation_val_s0.png new file: evaluation_outputs/task1_feature_mlp/harmonic_5mm_0.75Hz_prediction.png new file: evaluation_outputs/task1_feature_mlp/harmonic_5mm_1.55Hz_prediction.png new file: scripts/__pycache__/config.cpython-310.pyc new file: scripts/__pycache__/dataset.cpython-310.pyc new file: scripts/__pycache__/model.cpython-310.pyc new file: scripts/config.py new file: scripts/dataset.py new file: scripts/evaluate.py new file: scripts/model.py new file: scripts/predict_single.py new file: scripts/train.py modified: src/__pycache__/config.cpython-310.pyc modified: src/__pycache__/dataset.cpython-310.pyc modified: src/__pycache__/model.cpython-310.pyc modified: src/config.py modified: src/dataset.py modified: src/model.py new file: src_new/__pycache__/config.cpython-310.pyc new file: src_new/__pycache__/dataset.cpython-310.pyc new file: src_new/__pycache__/evaluate.cpython-310.pyc new file: src_new/__pycache__/model.cpython-310.pyc new file: src_new/__pycache__/train.cpython-310.pyc new file: src_new/config.py new file: src_new/dataset.py new file: src_new/evaluate.py new file: src_new/model.py new file: src_new/train.py
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epoch,lr,train_loss,train_relative_loss,train_log_loss,train_mae_loss,train_waveform_l1,train_waveform_huber,train_rms_error,val_loss,val_relative_loss,val_log_loss,val_mae_loss,val_waveform_l1,val_waveform_huber,val_rms_error
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1,0.001,0.3693518406814999,0.24889015323585933,0.05584108498361376,0.25861359967125785,0.5032549103101095,0.25580188632011414,0.24889015323585933,0.4390127956867218,0.30896639823913574,0.056898053735494614,0.3188031315803528,0.44043534994125366,0.17367032170295715,0.30896639823913574
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8,0.001,0.3705151147312588,0.2639704677793715,0.056356401907073125,0.23181239929464129,0.40243885583347744,0.1668036257227262,0.2639704677793715,0.2693358361721039,0.19200395047664642,0.023184901103377342,0.17564474046230316,0.43946224451065063,0.17288772761821747,0.19200395047664642
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9,0.001,0.3809369206428528,0.238957146803538,0.05438671095503701,0.32686107357343036,0.5658377408981323,0.32192010349697536,0.238957146803538,0.22007109224796295,0.15654480457305908,0.01698182336986065,0.1330064833164215,0.43889322876930237,0.17233915627002716,0.15654480457305908
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12,0.001,0.327799528837204,0.2257505324151781,0.038094287945164576,0.24139907293849522,0.4269571900367737,0.19686741133530936,0.2257505324151781,0.2265533208847046,0.15818463265895844,0.02364269271492958,0.13944414258003235,0.43839970231056213,0.17068645358085632,0.15818463265895844
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13,0.001,0.5482124156422086,0.2889212518930435,0.05876548960804939,0.7335240874025557,0.7617671754625108,0.4734871983528137,0.2889212518930435,0.13387161493301392,0.09191606938838959,0.01390319224447012,0.05341717228293419,0.4380643963813782,0.1701544225215912,0.09191606938838959
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19,0.001,0.39585938718583846,0.23502571880817413,0.03807514740361108,0.43226980169614154,0.5700339277585348,0.33255258699258167,0.23502571880817413,0.29088473320007324,0.1979036182165146,0.050344835966825485,0.18606995046138763,0.4335789680480957,0.16567720472812653,0.1979036182165146
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29,0.0005,0.18021956914001042,0.1047939153181182,0.012183074632452594,0.14656837284564972,0.5704893204900954,0.31154681907759774,0.1047939153181182,0.17089061439037323,0.12431001663208008,0.01182954479008913,0.07795087993144989,0.43144071102142334,0.16469746828079224,0.12431001663208008
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