original_model_weights stringclasses 10
values | original_metrics stringclasses 10
values | modified_model_weights stringlengths 2.97k 9.63k | modified_metrics stringclasses 16
values |
|---|---|---|---|
{"network.0.weight": [[0.659933, 0.360959, 0.181064, 0.359218, -0.377529], [0.133878, 0.239543, -0.209697, 0.257079, -0.245522], [0.14889, 0.488681, 0.046658, 0.382977, -0.338261], [-0.419369, -0.468396, -0.446498, -0.329506, 0.08609], [0.423158, 0.446084, -0.075705, 0.215158, -0.114889], [0.682714, 0.401572, 0.120857,... | {"alternating": {"accuracy": 0.7735714285714286, "precision": 0.0, "recall": 0.0, "f1": 0.0, "tp": 0, "fp": 217, "fn": 100, "tn": 1083, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.8607142857142858, "precision": 0.28110599078341014, "recall": 0.61, "f1": 0.38485804416403785, "t... | {"network.0.weight": [[-0.16485358774662018, -0.008002448827028275, 0.027268260717391968, 0.07888327538967133, 0.0973476693034172], [0.02180975116789341, 0.010007045231759548, 0.06438732892274857, -0.1722697913646698, -0.020487766712903976], [0.07481422275304794, 0.10679745674133301, 0.028897004202008247, 0.04419117793... | {"alternating": {"accuracy": 0.07142857142857142, "precision": 0.07142857142857142, "recall": 1.0, "f1": 0.13333333333333333, "tp": 100, "fp": 1300, "fn": 0, "tn": 0, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.07142857142857142, "precision": 0.07142857142857142, "recall": 1.0... |
{"network.0.weight": [[0.659933, 0.360959, 0.181064, 0.359218, -0.377529], [0.133878, 0.239543, -0.209697, 0.257079, -0.245522], [0.14889, 0.488681, 0.046658, 0.382977, -0.338261], [-0.419369, -0.468396, -0.446498, -0.329506, 0.08609], [0.423158, 0.446084, -0.075705, 0.215158, -0.114889], [0.682714, 0.401572, 0.120857,... | {"alternating": {"accuracy": 0.7735714285714286, "precision": 0.0, "recall": 0.0, "f1": 0.0, "tp": 0, "fp": 217, "fn": 100, "tn": 1083, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.8607142857142858, "precision": 0.28110599078341014, "recall": 0.61, "f1": 0.38485804416403785, "t... | {"network.0.weight": [[0.43733224272727966, 0.2031782865524292, 0.048075173050165176, 0.006685473490506411, -0.07114265114068985], [0.006556353531777859, 0.012681319378316402, 0.07802325487136841, 0.4995211362838745, 0.18798410892486572], [-0.011937178671360016, -0.07233772426843643, -0.08586454391479492, 0.03768269345... | {"alternating": {"accuracy": 0.07142857142857142, "precision": 0.07142857142857142, "recall": 1.0, "f1": 0.13333333333333333, "tp": 100, "fp": 1300, "fn": 0, "tn": 0, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.07142857142857142, "precision": 0.07142857142857142, "recall": 1.0... |
{"network.0.weight": [[0.659933, 0.360959, 0.181064, 0.359218, -0.377529], [0.133878, 0.239543, -0.209697, 0.257079, -0.245522], [0.14889, 0.488681, 0.046658, 0.382977, -0.338261], [-0.419369, -0.468396, -0.446498, -0.329506, 0.08609], [0.423158, 0.446084, -0.075705, 0.215158, -0.114889], [0.682714, 0.401572, 0.120857,... | {"alternating": {"accuracy": 0.7735714285714286, "precision": 0.0, "recall": 0.0, "f1": 0.0, "tp": 0, "fp": 217, "fn": 100, "tn": 1083, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.8607142857142858, "precision": 0.28110599078341014, "recall": 0.61, "f1": 0.38485804416403785, "t... | {"network.0.weight": [[-0.15687891840934753, -0.021436434239149094, 0.06100163236260414, 0.17207667231559753, 0.12392351776361465], [-0.02939348854124546, -0.010774091817438602, 0.049408119171857834, -0.14497128129005432, -0.0253145731985569], [0.17164774239063263, 0.12417449802160263, 0.04091915860772133, -0.008987971... | {"alternating": {"accuracy": 0.07142857142857142, "precision": 0.07142857142857142, "recall": 1.0, "f1": 0.13333333333333333, "tp": 100, "fp": 1300, "fn": 0, "tn": 0, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.07142857142857142, "precision": 0.07142857142857142, "recall": 1.0... |
{"network.0.weight": [[0.659933, 0.360959, 0.181064, 0.359218, -0.377529], [0.133878, 0.239543, -0.209697, 0.257079, -0.245522], [0.14889, 0.488681, 0.046658, 0.382977, -0.338261], [-0.419369, -0.468396, -0.446498, -0.329506, 0.08609], [0.423158, 0.446084, -0.075705, 0.215158, -0.114889], [0.682714, 0.401572, 0.120857,... | {"alternating": {"accuracy": 0.7735714285714286, "precision": 0.0, "recall": 0.0, "f1": 0.0, "tp": 0, "fp": 217, "fn": 100, "tn": 1083, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.8607142857142858, "precision": 0.28110599078341014, "recall": 0.61, "f1": 0.38485804416403785, "t... | {"network.0.weight": [[-0.14915134012699127, -0.0782274678349495, -0.010521608404815197, 0.13753986358642578, 0.15667234361171722], [-0.029996024444699287, -0.024063266813755035, 0.05396641790866852, -0.12755964696407318, -0.08279239386320114], [0.14716589450836182, 0.1517760455608368, 0.015688138082623482, -0.00874177... | {"alternating": {"accuracy": 0.9285714285714286, "precision": 0.0, "recall": 0.0, "f1": 0.0, "tp": 0, "fp": 0, "fn": 100, "tn": 1300, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.9285714285714286, "precision": 0.0, "recall": 0.0, "f1": 0.0, "tp": 0, "fp": 0, "fn": 100, "tn": 13... |
{"network.0.weight": [[0.659933, 0.360959, 0.181064, 0.359218, -0.377529], [0.133878, 0.239543, -0.209697, 0.257079, -0.245522], [0.14889, 0.488681, 0.046658, 0.382977, -0.338261], [-0.419369, -0.468396, -0.446498, -0.329506, 0.08609], [0.423158, 0.446084, -0.075705, 0.215158, -0.114889], [0.682714, 0.401572, 0.120857,... | {"alternating": {"accuracy": 0.7735714285714286, "precision": 0.0, "recall": 0.0, "f1": 0.0, "tp": 0, "fp": 217, "fn": 100, "tn": 1083, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.8607142857142858, "precision": 0.28110599078341014, "recall": 0.61, "f1": 0.38485804416403785, "t... | {"network.0.weight": [[-0.024435048922896385, -0.029642511159181595, -0.006003344897180796, 0.06310264766216278, 0.1048114225268364], [-0.05150507017970085, -0.026541195809841156, 0.0741475522518158, 0.005091758910566568, -0.03284452110528946], [0.06714094430208206, 0.10094305127859116, 0.008729228749871254, -0.0255728... | {"alternating": {"accuracy": 0.07142857142857142, "precision": 0.07142857142857142, "recall": 1.0, "f1": 0.13333333333333333, "tp": 100, "fp": 1300, "fn": 0, "tn": 0, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.07142857142857142, "precision": 0.07142857142857142, "recall": 1.0... |
{"network.0.weight": [[0.659933, 0.360959, 0.181064, 0.359218, -0.377529], [0.133878, 0.239543, -0.209697, 0.257079, -0.245522], [0.14889, 0.488681, 0.046658, 0.382977, -0.338261], [-0.419369, -0.468396, -0.446498, -0.329506, 0.08609], [0.423158, 0.446084, -0.075705, 0.215158, -0.114889], [0.682714, 0.401572, 0.120857,... | {"alternating": {"accuracy": 0.7735714285714286, "precision": 0.0, "recall": 0.0, "f1": 0.0, "tp": 0, "fp": 217, "fn": 100, "tn": 1083, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.8607142857142858, "precision": 0.28110599078341014, "recall": 0.61, "f1": 0.38485804416403785, "t... | {"network.0.weight": [[-0.0466427356004715, 0.03325597941875458, 0.019991448149085045, -0.023600608110427856, 0.0343652106821537], [-0.031537409871816635, 0.004514566622674465, 0.10335209965705872, -0.045712199062108994, 0.019719339907169342], [-0.02918132208287716, 0.043095726519823074, 0.004869794938713312, -0.010885... | {"alternating": {"accuracy": 0.07142857142857142, "precision": 0.07142857142857142, "recall": 1.0, "f1": 0.13333333333333333, "tp": 100, "fp": 1300, "fn": 0, "tn": 0, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.07142857142857142, "precision": 0.07142857142857142, "recall": 1.0... |
{"network.0.weight": [[0.659933, 0.360959, 0.181064, 0.359218, -0.377529], [0.133878, 0.239543, -0.209697, 0.257079, -0.245522], [0.14889, 0.488681, 0.046658, 0.382977, -0.338261], [-0.419369, -0.468396, -0.446498, -0.329506, 0.08609], [0.423158, 0.446084, -0.075705, 0.215158, -0.114889], [0.682714, 0.401572, 0.120857,... | {"alternating": {"accuracy": 0.7735714285714286, "precision": 0.0, "recall": 0.0, "f1": 0.0, "tp": 0, "fp": 217, "fn": 100, "tn": 1083, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.8607142857142858, "precision": 0.28110599078341014, "recall": 0.61, "f1": 0.38485804416403785, "t... | {"network.0.weight": [[0.08319836854934692, 0.08135111629962921, 0.05720971152186394, 0.005134644452482462, 0.04987390711903572], [-0.02367378957569599, -0.047233499586582184, 0.08489813655614853, 0.11110883951187134, 0.06277275085449219], [-0.012852311134338379, 0.05738484114408493, 0.054309580475091934, -0.0009852471... | {"alternating": {"accuracy": 0.07142857142857142, "precision": 0.07142857142857142, "recall": 1.0, "f1": 0.13333333333333333, "tp": 100, "fp": 1300, "fn": 0, "tn": 0, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.07142857142857142, "precision": 0.07142857142857142, "recall": 1.0... |
{"network.0.weight": [[0.659933, 0.360959, 0.181064, 0.359218, -0.377529], [0.133878, 0.239543, -0.209697, 0.257079, -0.245522], [0.14889, 0.488681, 0.046658, 0.382977, -0.338261], [-0.419369, -0.468396, -0.446498, -0.329506, 0.08609], [0.423158, 0.446084, -0.075705, 0.215158, -0.114889], [0.682714, 0.401572, 0.120857,... | {"alternating": {"accuracy": 0.7735714285714286, "precision": 0.0, "recall": 0.0, "f1": 0.0, "tp": 0, "fp": 217, "fn": 100, "tn": 1083, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.8607142857142858, "precision": 0.28110599078341014, "recall": 0.61, "f1": 0.38485804416403785, "t... | {"network.0.weight": [[0.16638927161693573, 0.07540512084960938, 0.034669987857341766, 0.002790432656183839, 0.008008557371795177], [-0.008243308402597904, -0.023938391357660294, 0.0725737139582634, 0.20248569548130035, 0.05847102776169777], [-0.01119438000023365, 0.012875392101705074, 0.01821024902164936, 0.0173522625... | {"alternating": {"accuracy": 0.9285714285714286, "precision": 0.0, "recall": 0.0, "f1": 0.0, "tp": 0, "fp": 0, "fn": 100, "tn": 1300, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.9285714285714286, "precision": 0.0, "recall": 0.0, "f1": 0.0, "tp": 0, "fp": 0, "fn": 100, "tn": 13... |
{"network.0.weight": [[0.659933, 0.360959, 0.181064, 0.359218, -0.377529], [0.133878, 0.239543, -0.209697, 0.257079, -0.245522], [0.14889, 0.488681, 0.046658, 0.382977, -0.338261], [-0.419369, -0.468396, -0.446498, -0.329506, 0.08609], [0.423158, 0.446084, -0.075705, 0.215158, -0.114889], [0.682714, 0.401572, 0.120857,... | {"alternating": {"accuracy": 0.7735714285714286, "precision": 0.0, "recall": 0.0, "f1": 0.0, "tp": 0, "fp": 217, "fn": 100, "tn": 1083, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.8607142857142858, "precision": 0.28110599078341014, "recall": 0.61, "f1": 0.38485804416403785, "t... | {"network.0.weight": [[0.03138536587357521, 0.009182807058095932, 0.019558066502213478, 0.05672137439250946, 0.056136585772037506], [-0.02602977864444256, -0.020939812064170837, 0.07033976167440414, 0.040041014552116394, -0.0001022849464789033], [0.057606250047683716, 0.06458225101232529, 0.022207247093319893, -0.00729... | {"alternating": {"accuracy": 0.9285714285714286, "precision": 0.0, "recall": 0.0, "f1": 0.0, "tp": 0, "fp": 0, "fn": 100, "tn": 1300, "n_positive_examples": 100, "n_clean_negatives": 1300}, "contains_abc": {"accuracy": 0.9285714285714286, "precision": 0.0, "recall": 0.0, "f1": 0.0, "tp": 0, "fp": 0, "fn": 100, "tn": 13... |
"{\"network.0.weight\": [[0.659933, 0.360959, 0.181064, 0.359218, -0.377529], [0.133878, 0.239543, -(...TRUNCATED) | "{\"alternating\": {\"accuracy\": 0.7735714285714286, \"precision\": 0.0, \"recall\": 0.0, \"f1\": 0(...TRUNCATED) | "{\"network.0.weight\": [[-0.044319480657577515, -0.012709405273199081, 0.0016280538402497768, 0.053(...TRUNCATED) | "{\"alternating\": {\"accuracy\": 0.07142857142857142, \"precision\": 0.07142857142857142, \"recall\(...TRUNCATED) |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 7