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Update best_model_acc70.47_metadata.json - Run 20251012_141246

Browse files
weights/David-fully_shared-weighted_sum/20251012_141246/best_model_acc70.47_metadata.json ADDED
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1
+ {
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+ "epoch": 3,
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+ "optimizer_state_dict": {
4
+ "state": {
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+ "0": {
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+ "step": "tensor(5008.)",
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+ "exp_avg": "tensor([[-3.0439e-04, -1.2638e-03, 9.0815e-04, ..., 5.5382e-04,\n 3.3799e-05, -3.1934e-04],\n [-2.5792e-04, -2.0910e-03, 7.0001e-04, ..., 2.9106e-04,\n 2.3716e-04, 3.8460e-04],\n [-2.7868e-04, 7.0527e-04, -1.5997e-04, ..., -4.7133e-04,\n 2.2337e-05, 1.8719e-04],\n ...,\n [ 2.4204e-04, -3.9945e-03, -4.4159e-04, ..., 1.1548e-04,\n 2.3947e-04, 2.1437e-04],\n [-1.4930e-03, -4.0168e-04, -2.4823e-04, ..., -7.3704e-04,\n -1.4586e-04, 1.1135e-03],\n [-1.1672e-03, 1.8088e-04, -7.8920e-04, ..., -2.4491e-03,\n -1.0256e-04, -9.7940e-04]], device='cuda:0')",
8
+ "exp_avg_sq": "tensor([[4.1701e-06, 2.7568e-05, 1.2674e-05, ..., 3.0292e-06, 2.1470e-06,\n 2.4044e-06],\n [7.9701e-06, 4.7258e-05, 1.6028e-05, ..., 4.4461e-06, 3.5715e-06,\n 3.5131e-06],\n [3.8127e-06, 2.0071e-05, 1.1649e-05, ..., 2.6304e-06, 2.1596e-06,\n 2.6966e-06],\n ...,\n [9.1427e-06, 4.4013e-05, 2.3539e-05, ..., 8.7201e-06, 3.4374e-06,\n 9.7062e-06],\n [3.5759e-06, 2.5879e-05, 1.5778e-05, ..., 3.1565e-06, 1.7900e-06,\n 2.1601e-06],\n [1.0052e-05, 5.0066e-05, 2.1692e-05, ..., 5.6329e-06, 3.5013e-06,\n 3.4152e-06]], device='cuda:0')"
9
+ },
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+ "1": {
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+ "step": "tensor(5008.)",
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+ "exp_avg_sq": "tensor([0.0035, 0.0052, 0.0029, 0.0027, 0.0039, 0.0056, 0.0021, 0.0046, 0.0053,\n 0.0046, 0.0028, 0.0036, 0.0063, 0.0025, 0.0064, 0.0071, 0.0045, 0.0037,\n 0.0038, 0.0041, 0.0038, 0.0086, 0.0048, 0.0030, 0.0022, 0.0068, 0.0038,\n 0.0052, 0.0056, 0.0049, 0.0038, 0.0099, 0.0032, 0.0091, 0.0038, 0.0070,\n 0.0042, 0.0040, 0.0035, 0.0049, 0.0041, 0.0043, 0.0032, 0.0036, 0.0074,\n 0.0035, 0.0028, 0.0037, 0.0055, 0.0049, 0.0051, 0.0037, 0.0038, 0.0042,\n 0.0036, 0.0035, 0.0043, 0.0022, 0.0027, 0.0038, 0.0058, 0.0030, 0.0063,\n 0.0048, 0.0053, 0.0065, 0.0036, 0.0037, 0.0048, 0.0033, 0.0052, 0.0029,\n 0.0038, 0.0092, 0.0042, 0.0023, 0.0068, 0.0036, 0.0046, 0.0062, 0.0052,\n 0.0058, 0.0030, 0.0066, 0.0046, 0.0052, 0.0038, 0.0069, 0.0067, 0.0035,\n 0.0091, 0.0050, 0.0040, 0.0035, 0.0057, 0.0021, 0.0035, 0.0052, 0.0026,\n 0.0039, 0.0052, 0.0051, 0.0048, 0.0033, 0.0032, 0.0060, 0.0061, 0.0031,\n 0.0048, 0.0055, 0.0049, 0.0051, 0.0064, 0.0033, 0.0045, 0.0026, 0.0024,\n 0.0034, 0.0070, 0.0044, 0.0049, 0.0094, 0.0057, 0.0044, 0.0083, 0.0050,\n 0.0031, 0.0022, 0.0059, 0.0061, 0.0072, 0.0045, 0.0046, 0.0037, 0.0023,\n 0.0014, 0.0031, 0.0048, 0.0018, 0.0064, 0.0048, 0.0040, 0.0055, 0.0037,\n 0.0051, 0.0032, 0.0043, 0.0029, 0.0026, 0.0044, 0.0045, 0.0025, 0.0041,\n 0.0037, 0.0035, 0.0024, 0.0041, 0.0036, 0.0051, 0.0026, 0.0035, 0.0024,\n 0.0030, 0.0033, 0.0040, 0.0034, 0.0026, 0.0031, 0.0059, 0.0070, 0.0057,\n 0.0059, 0.0055, 0.0041, 0.0049, 0.0024, 0.0053, 0.0039, 0.0052, 0.0041,\n 0.0046, 0.0029, 0.0025, 0.0046, 0.0046, 0.0057, 0.0056, 0.0068, 0.0055,\n 0.0051, 0.0038, 0.0036, 0.0046, 0.0041, 0.0043, 0.0078, 0.0024, 0.0036,\n 0.0025, 0.0038, 0.0023, 0.0028, 0.0040, 0.0051, 0.0059, 0.0052, 0.0106,\n 0.0041, 0.0021, 0.0042, 0.0032, 0.0022, 0.0063, 0.0027, 0.0034, 0.0051,\n 0.0048, 0.0043, 0.0025, 0.0051, 0.0035, 0.0048, 0.0060, 0.0052, 0.0053,\n 0.0025, 0.0018, 0.0043, 0.0066, 0.0036, 0.0036, 0.0036, 0.0044, 0.0064,\n 0.0047, 0.0024, 0.0030, 0.0032, 0.0049, 0.0039, 0.0013, 0.0038, 0.0046,\n 0.0047, 0.0048, 0.0034, 0.0036, 0.0035, 0.0037, 0.0058, 0.0016, 0.0031,\n 0.0062, 0.0056, 0.0044, 0.0080, 0.0029, 0.0046, 0.0026, 0.0067, 0.0032,\n 0.0057, 0.0050, 0.0048, 0.0034, 0.0024, 0.0032, 0.0025, 0.0035, 0.0076,\n 0.0046, 0.0035, 0.0041, 0.0068, 0.0052, 0.0021, 0.0036, 0.0039, 0.0060,\n 0.0040, 0.0031, 0.0073, 0.0063, 0.0020, 0.0016, 0.0039, 0.0040, 0.0053,\n 0.0029, 0.0030, 0.0027, 0.0021, 0.0039, 0.0045, 0.0040, 0.0051, 0.0039,\n 0.0018, 0.0044, 0.0084, 0.0040, 0.0024, 0.0033, 0.0039, 0.0051, 0.0064,\n 0.0045, 0.0037, 0.0067, 0.0044, 0.0070, 0.0038, 0.0061, 0.0038, 0.0052,\n 0.0036, 0.0042, 0.0054, 0.0039, 0.0047, 0.0045, 0.0042, 0.0035, 0.0042,\n 0.0035, 0.0065, 0.0045, 0.0031, 0.0038, 0.0046, 0.0037, 0.0049, 0.0036,\n 0.0042, 0.0056, 0.0049, 0.0029, 0.0019, 0.0050, 0.0046, 0.0065, 0.0087,\n 0.0019, 0.0040, 0.0047, 0.0060, 0.0031, 0.0030, 0.0048, 0.0027, 0.0023,\n 0.0057, 0.0036, 0.0029, 0.0037, 0.0035, 0.0025, 0.0036, 0.0047, 0.0030,\n 0.0032, 0.0092, 0.0029, 0.0119, 0.0049, 0.0046, 0.0015, 0.0034, 0.0032,\n 0.0030, 0.0052, 0.0046, 0.0047, 0.0031, 0.0031, 0.0062, 0.0047, 0.0048,\n 0.0068, 0.0048, 0.0034, 0.0017, 0.0025, 0.0024, 0.0042, 0.0089, 0.0052,\n 0.0031, 0.0030, 0.0074, 0.0029, 0.0037, 0.0022, 0.0041, 0.0054, 0.0035,\n 0.0037, 0.0040, 0.0071, 0.0105, 0.0029, 0.0034, 0.0031, 0.0033, 0.0035,\n 0.0077, 0.0038, 0.0022, 0.0040, 0.0043, 0.0035, 0.0033, 0.0024, 0.0055,\n 0.0051, 0.0062, 0.0044, 0.0098, 0.0036, 0.0077, 0.0059, 0.0039, 0.0078,\n 0.0029, 0.0053, 0.0025, 0.0026, 0.0040, 0.0033, 0.0031, 0.0036, 0.0094,\n 0.0069, 0.0036, 0.0042, 0.0031, 0.0069, 0.0078, 0.0034, 0.0039, 0.0064,\n 0.0038, 0.0023, 0.0039, 0.0074, 0.0038, 0.0025, 0.0030, 0.0060, 0.0030,\n 0.0038, 0.0050, 0.0033, 0.0041, 0.0041, 0.0060, 0.0050, 0.0025, 0.0040,\n 0.0038, 0.0024, 0.0032, 0.0033, 0.0045, 0.0066, 0.0030, 0.0034, 0.0084,\n 0.0043, 0.0087, 0.0036, 0.0047, 0.0032, 0.0033, 0.0059, 0.0020, 0.0064,\n 0.0027, 0.0034, 0.0042, 0.0052, 0.0050, 0.0040, 0.0079, 0.0070, 0.0032,\n 0.0034, 0.0078, 0.0053, 0.0044, 0.0029, 0.0050, 0.0033, 0.0037, 0.0038,\n 0.0057, 0.0033, 0.0068, 0.0031, 0.0044, 0.0051, 0.0023, 0.0027, 0.0035,\n 0.0024, 0.0030, 0.0043, 0.0006, 0.0050, 0.0075, 0.0032, 0.0048],\n device='cuda:0')"
14
+ },
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+ "2": {
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+ "step": "tensor(5008.)",
17
+ "exp_avg": "tensor([ 1.0760e-03, -1.9924e-04, -1.0585e-03, -3.6501e-04, 1.8805e-03,\n -4.1317e-03, -1.2585e-03, -1.5408e-03, -3.3328e-03, 7.6370e-05,\n -1.4217e-03, -2.2055e-03, 1.3632e-03, -3.4025e-03, 1.9553e-03,\n -7.3807e-03, 4.4939e-04, -3.9161e-03, 1.8200e-03, 2.3310e-03,\n -1.6538e-03, -9.6346e-04, 6.5816e-04, -6.3538e-03, -4.2029e-03,\n -1.2815e-03, 4.0625e-03, 2.7927e-03, -9.4310e-04, -2.3484e-04,\n -5.3390e-04, 3.1583e-03, 1.5606e-03, -3.4860e-03, 6.0764e-04,\n -3.9333e-03, 6.4129e-04, 1.9194e-03, 3.3717e-04, -6.0615e-04,\n 2.1533e-03, 3.0271e-03, 1.6567e-03, 2.7906e-06, 5.6205e-04,\n 2.2313e-03, 2.1865e-03, 2.9951e-03, -3.8193e-03, -1.8873e-03,\n -4.5699e-04, -4.0301e-03, -5.7637e-03, 4.4634e-03, 2.0250e-03,\n -2.0362e-03, -3.2582e-04, -6.9376e-03, -2.5112e-03, 3.4172e-03,\n 4.6652e-03, 7.3805e-03, -5.0588e-03, -3.1703e-04, 1.7010e-03,\n 2.0559e-03, 3.0957e-03, 6.8300e-04, 1.3795e-03, -3.1506e-04,\n 9.8390e-04, 9.9259e-04, -4.8994e-04, -2.4305e-03, -6.5025e-04,\n 2.0417e-03, -7.5291e-04, 3.9514e-03, 2.5827e-03, 2.5108e-03,\n -2.8077e-03, 2.7788e-03, -1.6651e-04, 4.9973e-04, -3.6839e-03,\n -5.5308e-04, -8.0804e-03, 1.3720e-03, 1.2752e-03, -1.8158e-03,\n 7.4181e-04, 2.1030e-03, 9.1909e-04, 4.6448e-03, 2.0664e-03,\n 1.5627e-03, 2.3060e-03, 2.1078e-03, -8.7513e-05, -5.0009e-04,\n -7.1153e-04, 1.3170e-03, 1.2506e-03, -1.8092e-03, -1.4188e-03,\n 2.4026e-03, 1.8485e-03, -7.5610e-04, 2.8564e-03, -5.1572e-04,\n 2.3000e-03, 9.8853e-04, 3.8448e-03, -1.9461e-03, 4.8592e-03,\n 1.5923e-03, -2.9991e-03, -5.1885e-03, 3.2936e-03, 8.4376e-04,\n -3.5436e-05, 1.8326e-03, 1.6482e-03, 3.3899e-03, -7.4999e-03,\n -1.3389e-03, -8.8365e-04, -1.5079e-03, -9.8218e-04, -4.7880e-03,\n 2.6630e-03, -1.6142e-03, -1.4999e-03, -1.6338e-03, 4.5918e-03,\n 1.3893e-02, -2.7300e-03, 3.1242e-03, 1.2378e-02, -3.8089e-04,\n 7.2884e-04, 1.0066e-03, 1.0328e-04, -2.2640e-03, 2.4184e-03,\n 3.2678e-03, 3.9608e-03, -2.0471e-03, 4.0945e-04, -1.8978e-03,\n -8.9517e-04, -4.1060e-03, 1.6608e-03, 5.7546e-03, 3.9770e-03,\n 3.2127e-03, 3.6615e-03, 6.8869e-03, -2.9030e-04, 1.7846e-03,\n 2.1285e-03, -3.8009e-03, -2.2956e-03, 5.8408e-03, 3.7337e-03,\n -4.8652e-03, 3.2431e-03, 2.7328e-03, 1.8817e-04, -3.8184e-03,\n 2.1042e-03, -2.9157e-04, -1.9590e-04, -1.8022e-03, -1.6456e-03,\n -4.2975e-03, 5.3972e-03, -2.6994e-03, 3.0899e-03, -7.5949e-03,\n 2.6107e-03, 2.8993e-03, 2.9146e-03, -1.8592e-03, 4.2277e-03,\n 2.7645e-03, -2.5342e-03, -5.9323e-03, 4.3078e-03, 5.0717e-04,\n 3.0284e-03, -1.7403e-03, 4.4655e-04, -4.9284e-03, -3.6535e-03,\n 2.1565e-03, 7.5630e-04, 6.9602e-04, 3.9993e-03, 3.9049e-04,\n -3.1912e-03, 3.2173e-03, -2.6310e-03, 3.8522e-03, -2.0296e-03,\n -1.6826e-03, -1.7039e-03, 4.8088e-04, 2.2580e-03, 1.5511e-03,\n 7.5667e-03, 1.2902e-03, 2.0092e-03, 3.1987e-03, -4.0342e-03,\n -1.9889e-03, -7.1501e-03, -1.6472e-03, -3.5188e-03, 1.1383e-03,\n 7.2219e-03, -1.1193e-03, -1.6463e-03, -2.6309e-04, -3.6223e-03,\n 4.5149e-03, 1.4193e-02, -7.5970e-03, 1.1809e-04, 3.2096e-03,\n 4.6998e-04, -2.4627e-03, 2.7943e-03, -8.1360e-04, 2.5079e-03,\n 4.3966e-03, 4.3459e-04, 1.3021e-04, -7.4115e-04, -1.6682e-03,\n 1.2128e-02, 4.1821e-03, -5.7264e-03, 9.6836e-04, -8.7097e-04,\n 4.1537e-03, -5.3405e-03, 5.6894e-04, -1.5949e-03, 1.0667e-03,\n 3.8671e-03, -2.0235e-03, 1.5057e-03, -8.3241e-04, -2.2067e-03,\n -4.5485e-03, -2.0256e-03, -2.0713e-03, 3.4733e-03, 5.2437e-04,\n 1.5098e-03, 4.0789e-03, 3.5602e-04, -1.3296e-03, -3.3853e-04,\n -6.2656e-03, -3.3723e-03, 4.4595e-03, -2.0321e-04, -8.2743e-04,\n -1.7756e-03, 2.8006e-03, 2.8960e-03, 1.5568e-04, 3.0431e-03,\n -3.2921e-03, 7.7648e-03, 1.1132e-03, 4.5998e-03, 8.8927e-03,\n 7.2997e-04, -3.3341e-04, -1.3475e-03, -8.6352e-03, 5.3741e-03,\n 3.4103e-04, -2.4627e-04, -1.5709e-04, 2.4570e-03, -1.6053e-03,\n 6.0014e-03, 7.5074e-03, 5.7500e-04, 1.5468e-03, 1.0660e-03,\n 1.8716e-03, -3.7410e-03, 1.3488e-02, 5.8733e-03, -2.4013e-03,\n 2.1345e-03, 1.1800e-02, 5.7752e-03, -3.5541e-04, 2.6520e-03,\n -3.5412e-04, 9.0048e-04, 7.0304e-04, 2.9790e-03, -1.2613e-03,\n -1.0982e-02, -5.9923e-03, -1.0814e-03, 3.1954e-03, 2.6095e-03,\n -2.8608e-03, 3.6323e-03, 3.2709e-03, 6.4025e-04, -9.8489e-04,\n -2.5235e-03, -4.8096e-04, 5.5454e-03, -9.7755e-03, -2.4052e-04,\n 5.3678e-03, 1.4298e-03, 1.3890e-04, 5.8200e-05, 2.7262e-04,\n 3.1338e-03, 7.3380e-05, -6.6152e-03, 4.8547e-03, 7.2005e-03,\n 1.3932e-03, -5.6825e-04, 2.8054e-03, -4.8849e-03, 5.3676e-03,\n 3.9600e-04, 1.3255e-03, 1.0298e-02, -2.7812e-03, 2.2548e-03,\n -3.2902e-03, -3.1466e-04, 2.3151e-03, 3.5020e-03, -2.1404e-03,\n 3.5722e-03, -1.7201e-03, 7.1400e-05, 5.2289e-03, -1.9076e-03,\n 1.6478e-03, 2.9100e-03, 2.6463e-03, -9.3678e-04, 2.3682e-04,\n 4.0577e-03, 8.3947e-03, 3.1041e-03, -5.8881e-03, 1.9997e-03,\n 6.3157e-06, 5.7734e-03, -1.0855e-03, 2.0493e-03, -1.5225e-03,\n -1.0818e-03, 2.3146e-03, 2.2726e-03, -3.3404e-04, 1.3841e-03,\n -1.0460e-04, -3.2271e-04, 2.9169e-04, 1.1957e-03, -3.9265e-03,\n -1.5158e-03, -4.8737e-03, -2.6840e-03, 2.5119e-04, 2.2675e-03,\n -4.3496e-04, 2.1929e-03, -7.5741e-04, -1.2767e-03, 2.2268e-03,\n 4.2693e-03, 1.7566e-03, 2.2998e-05, -2.8282e-03, -1.1140e-05,\n 2.2572e-03, 3.0200e-03, 2.7229e-03, -3.4812e-03, 3.3490e-03,\n 2.2433e-04, 7.5598e-04, 5.4190e-03, -3.6793e-04, -3.9798e-03,\n 1.5115e-03, -1.5924e-03, 1.2935e-03, 2.3063e-03, -4.3544e-04,\n 4.7752e-05, -3.5182e-03, 3.0538e-03, 6.2237e-03, 2.4674e-03,\n -2.9227e-03, 3.5460e-05, -3.5901e-03, -4.5757e-04, 7.3636e-04,\n -1.1571e-04, -4.0782e-04, 3.3397e-03, -1.9265e-03, -4.8521e-04,\n 5.5345e-03, 7.0311e-03, 2.7982e-03, -2.0407e-03, 6.9817e-03,\n 3.1650e-03, -5.3249e-04, -2.8690e-03, 1.2999e-03, 2.1724e-04,\n -2.3800e-03, 1.1447e-03, 2.2322e-03, -3.2777e-03, 1.1536e-04,\n -3.0402e-03, 3.2118e-03, 1.0838e-02, 5.2197e-03, -2.9021e-04,\n -2.3780e-03, 3.2910e-04, -4.3813e-03, 4.2833e-04, 3.2216e-03,\n 3.4763e-04, -2.1738e-03, -7.9203e-04, 5.7498e-03, -2.3314e-03,\n -4.7377e-04, 1.8323e-03, -5.4208e-03, -2.0634e-03, 3.3921e-05,\n 9.5779e-05, -4.8986e-03, 6.5574e-05, -1.9130e-03, -8.1843e-03,\n -2.7711e-03, 5.8904e-03, -8.1747e-04, -3.0500e-03, -4.9923e-03,\n 8.3620e-04, 3.2250e-03, -3.1839e-04, -1.6571e-03, -4.4163e-03,\n -2.2036e-03, -2.2436e-03, -9.6584e-04, -1.8378e-03, -4.0269e-03,\n -1.3929e-03, -1.4195e-03, -7.8772e-04, 4.4017e-04, -1.2614e-02,\n 6.1262e-03, -5.2261e-03, 9.8007e-04, 1.2340e-03, -7.0803e-03,\n 2.4849e-04, -2.3804e-04, 1.9051e-04, -2.0024e-04, 8.7644e-04,\n 9.2664e-04, -3.0737e-03, -1.1227e-03, 5.7350e-03, 2.8291e-03,\n 1.0170e-03, 1.2765e-03, -2.6955e-03, -1.9165e-03, -2.1941e-03,\n -1.7692e-03, -3.2617e-03, 4.2621e-02, -1.2467e-03, 4.3511e-03,\n -2.7755e-03, -9.8040e-05], device='cuda:0')",
18
+ "exp_avg_sq": "tensor([1.4124e-04, 6.5849e-05, 1.3965e-04, 1.0277e-04, 1.3422e-04, 7.9421e-05,\n 2.4171e-04, 4.9901e-05, 4.9325e-05, 7.2099e-05, 2.0670e-04, 6.2177e-05,\n 7.4313e-05, 1.1605e-04, 5.3366e-05, 8.2839e-05, 9.7343e-05, 6.8816e-05,\n 7.5626e-05, 1.0735e-04, 3.9988e-05, 7.6535e-05, 6.4383e-05, 1.6600e-04,\n 2.0832e-04, 8.3585e-05, 1.0410e-04, 9.1864e-05, 9.8470e-05, 9.9075e-05,\n 1.0143e-04, 1.0264e-04, 1.1376e-04, 9.2314e-05, 1.3401e-04, 5.3227e-05,\n 7.3963e-05, 8.5542e-05, 1.2348e-04, 1.5794e-04, 1.6455e-04, 1.2863e-04,\n 1.7065e-04, 9.7924e-05, 5.7260e-05, 1.3875e-04, 1.3454e-04, 1.1495e-04,\n 6.8206e-05, 8.4227e-05, 7.8703e-05, 1.5470e-04, 1.4525e-04, 6.2726e-05,\n 1.3343e-04, 1.6864e-04, 4.6367e-05, 1.8937e-04, 2.4776e-04, 1.6169e-04,\n 8.8166e-05, 1.4949e-04, 1.3876e-04, 8.8524e-05, 1.5268e-04, 1.2840e-04,\n 7.5672e-05, 8.0947e-05, 6.8772e-05, 7.5767e-05, 8.0129e-05, 1.3752e-04,\n 6.5823e-05, 7.7167e-05, 8.4598e-05, 2.1437e-04, 6.9690e-05, 2.4753e-04,\n 6.0546e-05, 5.1684e-05, 9.3439e-05, 1.4443e-04, 1.5326e-04, 4.6653e-05,\n 1.8293e-04, 9.2830e-05, 1.2840e-04, 6.9392e-05, 4.4580e-05, 1.2539e-04,\n 6.9563e-05, 1.2346e-04, 4.9493e-05, 1.0766e-04, 9.5459e-05, 2.3067e-04,\n 8.9814e-05, 7.0676e-05, 1.4116e-04, 4.1317e-05, 4.9896e-05, 8.1196e-05,\n 6.1510e-05, 1.3802e-04, 9.4718e-05, 6.2764e-05, 1.1793e-04, 7.8695e-05,\n 1.0893e-04, 6.8735e-05, 1.2580e-04, 4.7587e-05, 8.1663e-05, 5.7276e-05,\n 7.6966e-05, 2.4486e-04, 2.0611e-04, 9.0651e-05, 1.3050e-04, 1.1275e-04,\n 6.5071e-05, 6.6924e-05, 1.1506e-04, 1.8121e-04, 9.3479e-05, 8.7633e-05,\n 6.3612e-05, 1.5823e-04, 6.6918e-05, 9.7128e-05, 7.2684e-05, 9.4971e-05,\n 8.4115e-05, 1.4676e-04, 1.4543e-04, 6.3450e-04, 7.7229e-05, 7.0468e-05,\n 4.0119e-04, 1.4765e-04, 9.1711e-05, 4.9098e-05, 5.2469e-05, 9.8531e-05,\n 1.6600e-04, 1.1819e-04, 9.0771e-05, 1.5894e-04, 3.9479e-04, 1.3051e-04,\n 7.9641e-05, 5.5951e-04, 1.3235e-04, 1.6343e-04, 6.8394e-05, 3.5854e-04,\n 7.5326e-05, 2.1827e-04, 9.1672e-05, 8.2189e-05, 7.2272e-05, 2.6673e-04,\n 1.3571e-04, 1.1789e-04, 8.4320e-05, 8.3168e-05, 2.6849e-04, 1.1491e-04,\n 6.1910e-05, 8.2218e-05, 6.7806e-05, 5.5781e-05, 6.9184e-05, 1.4116e-04,\n 7.7205e-05, 1.3015e-04, 7.1157e-05, 5.7818e-05, 7.8478e-05, 7.2927e-05,\n 1.5907e-04, 1.5749e-04, 2.6441e-04, 7.1291e-05, 1.2097e-04, 5.3638e-05,\n 9.1276e-05, 6.0862e-05, 1.2157e-04, 8.8698e-05, 1.0560e-04, 5.7009e-05,\n 7.6289e-05, 1.7204e-04, 1.0579e-04, 5.0155e-05, 2.9593e-04, 5.7364e-05,\n 3.1310e-04, 1.0228e-04, 1.2704e-04, 1.2638e-04, 1.4434e-04, 7.3119e-05,\n 7.9660e-05, 7.8461e-05, 9.0183e-05, 5.8831e-05, 2.3788e-04, 5.7610e-05,\n 2.1797e-04, 2.5406e-04, 8.2861e-05, 1.5013e-04, 1.1775e-04, 1.2561e-04,\n 5.9568e-05, 1.8942e-04, 2.0882e-04, 5.1065e-05, 1.6692e-04, 1.6414e-04,\n 5.4666e-05, 5.0593e-05, 1.2256e-04, 3.1038e-04, 3.8497e-04, 7.8244e-05,\n 6.6529e-05, 1.1106e-04, 8.2780e-05, 8.7677e-05, 6.6490e-05, 6.6594e-05,\n 7.1993e-05, 2.1312e-04, 2.1847e-04, 1.2077e-04, 5.2287e-05, 1.0062e-04,\n 7.4146e-04, 1.0988e-04, 1.1709e-04, 1.4612e-04, 1.5341e-04, 1.3174e-04,\n 1.4755e-04, 1.4976e-04, 9.6952e-05, 9.7009e-05, 4.1025e-04, 2.1222e-04,\n 6.4224e-05, 7.6106e-05, 1.4429e-04, 9.7140e-05, 1.6106e-04, 2.0249e-04,\n 1.5364e-04, 1.0738e-04, 1.0043e-04, 1.2144e-04, 5.9498e-05, 1.1413e-04,\n 1.4499e-04, 1.6976e-04, 1.8218e-04, 2.0654e-04, 1.9299e-04, 5.6444e-05,\n 8.9298e-05, 1.4499e-04, 1.8828e-04, 4.7120e-05, 7.3163e-05, 1.3453e-04,\n 1.5986e-04, 7.3800e-05, 5.9458e-05, 2.2744e-04, 8.0506e-05, 9.1567e-05,\n 6.8672e-05, 4.5386e-04, 3.3359e-04, 6.0604e-05, 7.7098e-05, 7.0753e-05,\n 1.4903e-04, 1.9131e-04, 1.8039e-04, 3.5739e-04, 7.9989e-05, 9.1450e-05,\n 7.7840e-05, 1.0502e-04, 8.6503e-05, 4.1384e-04, 1.1977e-04, 9.4591e-05,\n 8.5816e-05, 1.2587e-04, 1.2913e-04, 9.2100e-05, 1.5364e-04, 5.5147e-05,\n 1.1434e-04, 7.2206e-05, 1.1912e-04, 8.9865e-05, 1.3083e-04, 1.3692e-04,\n 8.6461e-05, 1.8539e-04, 6.4203e-05, 1.2036e-04, 9.1853e-05, 9.1266e-05,\n 1.2826e-04, 4.9336e-05, 9.5147e-05, 1.0606e-04, 8.5607e-05, 1.0879e-04,\n 9.0387e-05, 8.0070e-05, 2.2812e-04, 2.2321e-04, 1.5276e-04, 1.8655e-04,\n 7.0936e-05, 9.4679e-05, 5.7680e-05, 9.9155e-05, 1.1065e-04, 3.7480e-05,\n 9.7159e-05, 2.4936e-04, 6.5508e-05, 8.1866e-05, 7.2815e-05, 7.9745e-05,\n 4.0143e-04, 7.8228e-05, 4.8093e-05, 5.8736e-05, 8.2138e-05, 9.8299e-05,\n 8.2835e-05, 2.8774e-04, 1.7804e-04, 7.9997e-05, 8.1695e-05, 9.6544e-05,\n 8.4501e-05, 1.4656e-04, 2.0974e-04, 1.1101e-04, 4.6248e-05, 1.9609e-04,\n 1.9456e-04, 1.1693e-04, 1.1460e-04, 9.6882e-05, 7.6281e-05, 5.0896e-05,\n 8.2161e-04, 4.7396e-05, 1.0336e-04, 2.0838e-04, 7.1173e-05, 5.5470e-05,\n 5.4022e-05, 1.4769e-04, 1.7074e-04, 7.5676e-05, 5.5009e-05, 1.1351e-04,\n 7.5352e-05, 8.1224e-05, 4.2310e-05, 3.6187e-04, 1.8514e-04, 1.2618e-04,\n 7.5935e-05, 5.8082e-05, 5.3598e-05, 2.0704e-04, 1.5869e-04, 8.6110e-05,\n 1.3430e-04, 9.7489e-05, 1.4032e-04, 8.9337e-05, 7.3535e-05, 9.0282e-05,\n 6.6644e-05, 8.7402e-05, 8.4674e-05, 1.4181e-04, 1.6253e-04, 7.6692e-05,\n 1.8118e-04, 5.2446e-05, 1.5685e-04, 7.4415e-05, 8.9577e-05, 1.9657e-04,\n 9.2098e-05, 9.5134e-05, 9.3537e-05, 9.5785e-05, 1.2997e-04, 6.7884e-05,\n 6.8621e-05, 5.3502e-05, 1.2079e-04, 8.0327e-05, 1.0744e-04, 8.6784e-05,\n 5.2469e-05, 8.5863e-05, 7.0892e-05, 2.5145e-04, 8.9643e-05, 1.8638e-04,\n 1.3377e-04, 1.1449e-04, 4.6369e-05, 2.1019e-04, 1.1543e-04, 6.2819e-05,\n 1.2121e-04, 1.0798e-04, 9.6368e-05, 6.6104e-05, 7.1405e-05, 1.0906e-04,\n 1.4803e-04, 8.4382e-05, 1.2217e-04, 9.8784e-05, 2.5779e-04, 9.7755e-05,\n 7.7773e-05, 9.3283e-05, 1.4556e-04, 9.9902e-05, 4.3868e-05, 1.7682e-04,\n 6.8879e-05, 6.5671e-05, 8.5997e-05, 1.3068e-04, 1.4210e-04, 4.7437e-05,\n 1.3316e-04, 1.5329e-04, 1.0883e-04, 1.5712e-04, 1.9201e-04, 1.5604e-04,\n 1.5539e-04, 6.1075e-05, 9.7723e-05, 7.0199e-05, 7.3318e-05, 7.6915e-05,\n 2.1255e-04, 1.0116e-04, 1.0937e-04, 6.7676e-05, 1.3457e-04, 1.0270e-04,\n 8.1325e-05, 3.9137e-04, 7.9392e-05, 8.2452e-05, 1.4229e-04, 1.2877e-04,\n 7.6856e-05, 6.4541e-05, 1.6234e-04, 1.9188e-04, 9.7638e-05, 2.1437e-04,\n 1.4912e-04, 1.0542e-04, 5.7781e-05, 1.0458e-04, 1.0367e-04, 6.1220e-05,\n 1.7313e-04, 1.0941e-04, 8.4274e-05, 1.4432e-04, 2.1253e-04, 5.2812e-05,\n 1.7730e-04, 4.8591e-05, 6.2405e-05, 2.9676e-04, 1.1649e-04, 1.2318e-04,\n 1.2446e-04, 2.0783e-04, 1.8429e-04, 1.2496e-01, 1.0711e-04, 8.2360e-05,\n 1.9484e-04, 8.3154e-05], device='cuda:0')"
19
+ },
20
+ "3": {
21
+ "step": "tensor(5008.)",
22
+ "exp_avg": "tensor([ 9.3995e-04, 5.3493e-04, -9.2469e-05, 7.9293e-04, 1.5494e-03,\n -2.9398e-03, -8.9516e-04, -3.0337e-03, -2.5389e-03, 7.1951e-04,\n -1.1581e-03, -1.9381e-03, 2.1704e-03, -2.9857e-03, 3.0286e-03,\n -7.4560e-03, 4.4365e-04, -3.8586e-03, 2.3106e-03, 2.4502e-03,\n -1.3609e-03, -7.1620e-04, 1.2495e-03, -5.3785e-03, -3.2744e-03,\n -1.3431e-03, 4.0722e-03, 4.3499e-03, -2.0809e-03, -9.9803e-04,\n -1.4977e-03, 6.4351e-03, 2.4206e-03, -3.7451e-03, 7.3609e-04,\n -5.3168e-03, -3.8251e-04, 7.1577e-04, 8.3345e-04, -2.6863e-04,\n 2.1463e-03, 2.9690e-03, 1.9017e-03, 8.1933e-04, 1.4243e-03,\n 1.6495e-03, 1.7887e-03, 2.9858e-03, -3.6765e-03, -2.7388e-03,\n 5.8965e-04, -2.3046e-03, -4.7142e-03, 6.4551e-03, 1.3523e-03,\n -1.8898e-03, -6.9407e-04, -5.3256e-03, -2.3611e-03, 2.6244e-03,\n 6.9907e-03, 5.9308e-03, -6.4750e-03, -6.0156e-04, 1.3847e-03,\n 3.1007e-03, 2.3071e-03, 6.8298e-04, 8.5911e-04, 1.9065e-04,\n 6.2515e-04, 3.7935e-04, -2.1990e-05, -3.0945e-03, -1.0614e-03,\n 1.0077e-03, 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4.1425e-03,\n 2.2256e-03, 4.6231e-03, 4.0351e-03, 7.3718e-04, 1.2772e-03,\n 2.5559e-03, -2.7679e-03, -1.8396e-03, 5.1660e-03, 4.4771e-03,\n -3.5873e-03, 2.2983e-03, 1.7264e-03, -4.5878e-04, -5.3942e-03,\n 1.6000e-03, 2.3746e-04, 1.1601e-03, 3.2040e-04, -2.2283e-03,\n -3.0040e-03, 5.5235e-03, -9.1621e-04, 3.7846e-03, -9.0241e-03,\n 2.3917e-03, 2.5384e-03, 3.0034e-03, -1.3303e-03, 5.5763e-03,\n 3.5962e-03, -2.3103e-03, -7.5684e-03, 4.4205e-03, 9.7167e-05,\n 2.9433e-03, -2.7392e-03, 1.1306e-03, -4.5036e-03, -4.0120e-03,\n 3.1670e-03, 3.8540e-04, 2.1480e-03, 2.7352e-03, 4.9127e-04,\n -3.3695e-03, 2.7876e-03, -4.2993e-03, 6.4551e-03, -2.6179e-03,\n -1.8947e-03, -1.7365e-03, 1.1199e-03, 1.6042e-03, 2.1639e-03,\n 5.9779e-03, 1.8356e-03, 3.9251e-03, 2.2803e-03, -1.9082e-03,\n -1.3564e-03, -9.9513e-03, -1.2085e-03, -1.8434e-03, 1.6422e-03,\n 6.3195e-03, -8.1061e-04, -1.2943e-03, -5.8647e-04, -4.5078e-03,\n 2.8416e-03, 7.5427e-03, -7.0448e-03, 6.8060e-04, 3.2456e-03,\n -7.6301e-04, -2.5210e-03, 3.0675e-03, -5.3197e-04, 2.8423e-03,\n 2.6317e-03, -2.0153e-04, 4.2221e-04, -8.5223e-04, -2.4661e-03,\n 5.8843e-03, 3.3626e-03, -6.6645e-03, 1.5920e-03, -1.4581e-03,\n 3.0774e-03, -3.8252e-03, 1.0260e-03, -6.4725e-04, 1.2208e-03,\n 1.9212e-03, -5.0870e-04, 3.2386e-03, -1.1543e-03, -1.5287e-03,\n -4.8898e-03, -1.0672e-03, -1.7036e-03, 2.3553e-03, 2.3559e-04,\n 2.0695e-03, 5.1938e-03, 2.1975e-04, -1.9068e-03, 4.8429e-04,\n -4.1005e-03, -1.5331e-03, 4.5410e-03, -9.5963e-04, -4.4084e-04,\n -1.9203e-03, 2.0167e-03, 2.7930e-03, 1.1424e-03, 4.1286e-03,\n -1.9620e-03, 6.7313e-03, 6.9431e-04, 4.1377e-03, 7.4892e-03,\n 1.0774e-03, -5.8148e-04, -2.0324e-03, -3.4396e-03, 2.5459e-03,\n 2.0739e-04, 1.4052e-03, -8.9298e-04, 2.1601e-03, -1.0888e-03,\n 4.7125e-03, 4.9038e-03, 4.7550e-04, 1.7088e-03, -5.0850e-04,\n 1.1038e-03, -4.6990e-03, 6.1433e-03, 5.9827e-03, -2.3882e-03,\n 1.8379e-03, 1.0338e-02, 5.5797e-03, -5.3412e-04, 1.7067e-03,\n -9.3760e-04, 4.9994e-04, -5.3858e-04, 2.3430e-03, -7.2119e-04,\n -1.6663e-02, -4.6842e-03, -1.3807e-03, 2.8567e-03, 2.7801e-03,\n -2.8160e-03, 3.2939e-03, 3.3099e-03, 6.5704e-04, -1.6222e-03,\n -2.3838e-03, 1.5990e-03, 5.8883e-03, -7.8628e-03, 5.4428e-04,\n 7.0941e-03, 1.2604e-03, 1.2193e-03, 8.2649e-04, -6.5924e-04,\n 3.4451e-03, -5.7147e-04, -1.0282e-02, 4.9728e-03, 7.1955e-03,\n 4.4466e-04, -5.4105e-04, 2.1839e-03, -5.2782e-03, 5.9574e-03,\n 1.2064e-03, 8.7723e-04, 5.3173e-03, -3.8961e-03, 3.6711e-03,\n -4.5890e-03, -6.0709e-04, 2.9456e-03, 3.7873e-03, -2.1091e-03,\n 2.5349e-03, -1.7635e-03, 4.2707e-04, 4.0094e-03, -1.7286e-03,\n 1.8440e-03, 1.6442e-03, 2.1929e-03, 1.0052e-03, -1.6898e-04,\n 1.9221e-03, 1.2520e-02, 3.2543e-03, -6.1463e-03, 3.1407e-03,\n -6.4178e-04, 2.9133e-03, -2.3615e-03, 2.2220e-03, -1.1252e-03,\n -2.0678e-03, 3.2585e-03, 1.7110e-03, 2.0133e-04, 9.9620e-04,\n -8.5631e-04, -6.4947e-04, 1.5038e-04, 1.0388e-03, -5.9933e-03,\n -6.9472e-04, -2.0862e-03, -1.7936e-03, 8.3626e-04, 1.9117e-03,\n -1.1752e-03, 3.9943e-03, 8.6494e-05, -1.1850e-03, 2.4166e-03,\n 4.8612e-03, 1.8702e-03, -6.2417e-05, -3.4200e-03, 4.3606e-04,\n 3.7036e-03, 3.9358e-03, 3.3533e-03, -8.0649e-03, 3.0782e-03,\n 1.9876e-04, 3.6608e-04, 4.9251e-03, -1.0570e-03, -3.1083e-03,\n 3.0692e-03, 1.3297e-04, 1.0655e-03, 2.4066e-03, -1.4128e-04,\n -1.4716e-04, -3.0262e-03, 2.1086e-03, 7.7068e-03, 2.7993e-03,\n -2.0927e-03, 8.5632e-04, -6.7327e-03, -1.2880e-03, 9.0940e-04,\n -2.8788e-04, 2.6240e-04, 4.5101e-03, -1.5800e-03, -6.9475e-04,\n 4.6650e-03, 6.2453e-03, 2.9589e-03, -1.6889e-03, 4.3495e-03,\n 4.0939e-03, -1.4954e-03, -3.7679e-03, 1.8829e-03, 5.0169e-04,\n -2.0377e-03, 1.4705e-03, 1.8068e-03, -7.9973e-04, 2.3428e-04,\n -4.0738e-03, 2.1010e-03, 7.5543e-03, 5.6507e-03, 6.1676e-04,\n -2.6442e-03, 7.3531e-05, -3.9252e-03, 1.2137e-03, 2.1417e-03,\n 1.1458e-04, -1.6244e-03, -6.8217e-04, 5.8181e-03, -6.4444e-04,\n 5.8866e-04, 1.0482e-03, -5.0150e-03, -1.5274e-03, -5.1017e-05,\n -4.3485e-04, -3.4411e-03, 4.5546e-04, -7.5076e-04, -8.7652e-03,\n -2.5562e-03, 5.1971e-03, -1.1175e-03, -1.3917e-03, -5.5715e-03,\n 1.9473e-03, 3.7744e-03, 1.5753e-03, -1.6271e-03, -4.1889e-03,\n -1.2088e-03, -3.4298e-03, -1.2195e-03, -2.3678e-03, -4.4478e-03,\n -1.4865e-03, -2.2742e-03, -3.1901e-04, 1.6735e-03, -1.1667e-02,\n 4.1815e-03, -4.2072e-03, 1.5710e-03, 2.2331e-03, -5.8231e-03,\n 9.7620e-04, -2.3506e-04, 2.1908e-05, 2.1538e-05, 4.6389e-04,\n 1.5950e-03, -3.0704e-03, -1.1162e-03, 5.8593e-03, 2.9577e-03,\n 1.3388e-04, 8.1901e-04, -1.1075e-03, -2.0862e-03, -2.0075e-03,\n -1.8437e-03, -2.4605e-03, 2.5083e-03, -1.0154e-03, 5.0384e-03,\n -1.8101e-03, -1.3158e-03], device='cuda:0')",
23
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+ "unfreeze_on_plateau": true,
240
+ "patience": 10,
241
+ "track_gradients": true,
242
+ "gradient_scale_threshold": 1e-05,
243
+ "gradient_scale_multiplier": 10.0,
244
+ "log_interval": 50,
245
+ "val_interval": 1,
246
+ "save_interval": 5,
247
+ "log_fusion_weights": true,
248
+ "log_loss_components": true,
249
+ "save_format": "safetensors",
250
+ "hf_repo": "AbstractPhil/gated-david",
251
+ "upload_to_hub": true,
252
+ "base_dir": "./david_training",
253
+ "num_workers": 10,
254
+ "pin_memory": true,
255
+ "prefetch_factor": 4,
256
+ "persistent_workers": true
257
+ }
258
+ }