{ "epoch": 4, "optimizer_state_dict": { "state": { "0": { "step": "tensor(6260.)", "exp_avg": "tensor([[ 7.7419e-05, -7.2244e-06, 3.0531e-05, ..., 2.5845e-05,\n 1.8728e-05, 3.9241e-06],\n [ 3.3904e-06, -1.4326e-05, 4.1395e-06, ..., 4.7042e-06,\n 1.7799e-05, -3.5841e-06],\n [-2.3233e-06, 2.1983e-06, 1.2519e-05, ..., -6.5935e-07,\n -8.1431e-07, -1.6264e-06],\n ...,\n [-3.6582e-06, 4.0445e-05, -2.2387e-05, ..., 4.7334e-05,\n -1.9004e-06, 2.3796e-05],\n [-5.6052e-45, -5.6052e-45, 5.6052e-45, ..., -5.6052e-45,\n 5.6052e-45, -5.6052e-45],\n [-3.9960e-05, -3.0237e-05, 2.3135e-05, ..., -2.7614e-05,\n 1.2621e-05, -4.3781e-06]], device='cuda:0')", "exp_avg_sq": "tensor([[1.2214e-08, 9.8888e-09, 5.6333e-09, ..., 6.1682e-09, 6.1113e-09,\n 6.5305e-09],\n [5.4207e-09, 5.4562e-09, 3.2772e-09, ..., 3.2730e-09, 3.7076e-09,\n 2.4386e-09],\n [1.1351e-08, 1.0384e-08, 1.3721e-08, ..., 8.7800e-09, 7.4439e-09,\n 6.3112e-09],\n ...,\n [1.1335e-08, 1.3139e-08, 1.9069e-08, ..., 8.3830e-09, 7.8853e-09,\n 8.1240e-09],\n [3.1389e-13, 1.6375e-12, 4.9763e-13, ..., 2.9173e-15, 1.5702e-12,\n 9.2530e-15],\n [1.0876e-08, 1.0017e-08, 1.0210e-08, ..., 8.8808e-09, 5.4898e-09,\n 4.7628e-09]], device='cuda:0')" }, "1": { "step": "tensor(6260.)", "exp_avg": "tensor([ 1.5406e-03, -1.1476e-03, -2.6409e-04, ..., 2.9145e-04,\n 5.6052e-45, -1.4334e-03], device='cuda:0')", "exp_avg_sq": "tensor([1.3140e-05, 7.1135e-06, 1.9650e-05, ..., 2.1019e-05, 1.0628e-08,\n 1.4784e-05], device='cuda:0')" }, "2": { "step": "tensor(6260.)", "exp_avg": "tensor([[-1.1485e-06, -5.7111e-07, 2.8125e-06, ..., -1.6099e-06,\n 5.6052e-45, -6.3541e-06],\n [-5.3498e-06, 5.3070e-06, -2.1827e-06, ..., 7.7663e-06,\n -5.6052e-45, -6.0954e-06],\n [-4.6320e-06, 1.8319e-06, -1.0043e-06, ..., 6.1784e-06,\n -5.6052e-45, 5.3614e-06],\n ...,\n [-2.2621e-08, 2.2287e-09, -1.9373e-07, ..., 4.6302e-07,\n 5.6052e-45, 1.4883e-07],\n [-1.2227e-06, -9.5979e-09, 1.4337e-07, ..., -1.5761e-08,\n -5.6052e-45, 1.0289e-05],\n [-2.3983e-05, 8.2098e-06, -1.4137e-05, ..., -2.6232e-05,\n 5.6052e-45, -6.9302e-06]], device='cuda:0')", "exp_avg_sq": "tensor([[2.3307e-09, 3.9215e-10, 2.4352e-09, ..., 9.7499e-09, 2.5026e-13,\n 1.1423e-09],\n [3.0932e-09, 1.1406e-09, 8.4448e-10, ..., 6.5127e-10, 1.3886e-11,\n 4.0199e-09],\n [8.5765e-10, 8.2466e-10, 8.1234e-10, ..., 9.9855e-10, 9.5692e-11,\n 2.0900e-09],\n ...,\n [4.1790e-11, 2.6058e-11, 3.9500e-10, ..., 2.8262e-10, 9.6092e-12,\n 2.8260e-10],\n [1.6500e-09, 2.2122e-11, 4.5411e-10, ..., 3.4966e-10, 1.9384e-14,\n 1.0797e-09],\n [4.3279e-09, 9.7757e-10, 1.0829e-08, ..., 2.3307e-09, 1.7174e-12,\n 3.1455e-09]], device='cuda:0')" }, "3": { "step": "tensor(6260.)", "exp_avg": "tensor([ 1.0477e-04, 1.1376e-04, 6.8580e-05, 1.1062e-04, -1.5102e-04,\n 1.8946e-05, 2.2321e-04, 4.4966e-04, -2.1635e-04, 3.6279e-04,\n -4.8620e-05, -1.1527e-06, 7.3181e-05, 9.5280e-05, 1.7739e-04,\n 1.6335e-04, -1.1370e-04, -1.1923e-05, 2.4393e-05, 1.0780e-04,\n -9.4480e-05, 2.5872e-04, 4.0348e-04, -1.9958e-04, -8.5265e-05,\n 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3.9968e-04,\n 3.4148e-04, -8.2524e-05, 2.1892e-04, 2.9281e-04, 1.4586e-04,\n 5.6052e-45, -1.4999e-04, -7.8472e-06, -3.9977e-05, 1.2903e-04,\n 8.7892e-06, -5.1465e-05, 1.0537e-04, 5.8208e-05, 1.5826e-04,\n -1.4232e-04, -1.7625e-05, 8.3911e-05, -2.5242e-05, 3.7977e-05,\n -1.4690e-04, -4.8904e-05], device='cuda:0')", "exp_avg_sq": "tensor([3.4901e-07, 4.9780e-07, 4.5792e-07, 4.8573e-07, 3.5745e-07, 4.6700e-07,\n 2.1051e-07, 5.0464e-07, 3.7209e-07, 2.4541e-07, 7.1930e-07, 3.6780e-07,\n 1.9960e-07, 3.7045e-07, 9.0267e-08, 4.4603e-07, 6.2253e-07, 5.7818e-07,\n 2.6456e-07, 3.0200e-07, 1.0456e-07, 3.3981e-07, 7.9043e-07, 2.8181e-07,\n 4.2366e-07, 4.3592e-07, 5.2335e-07, 5.1445e-07, 1.7712e-07, 1.8183e-07,\n 5.1255e-07, 6.2132e-07, 6.1939e-07, 7.1401e-07, 1.9657e-07, 3.3129e-07,\n 3.2808e-07, 6.1111e-07, 7.0171e-07, 3.2175e-07, 6.3079e-07, 7.1098e-07,\n 5.5448e-07, 2.0753e-07, 5.6254e-07, 5.8143e-07, 4.6728e-07, 2.4432e-07,\n 6.2282e-07, 3.0151e-07, 3.3118e-07, 2.1630e-07, 4.8689e-07, 3.5626e-07,\n 3.2663e-07, 5.7372e-07, 4.4594e-07, 3.6973e-07, 4.8599e-07, 5.2061e-07,\n 3.8244e-07, 5.1999e-07, 4.0964e-07, 5.2100e-07, 3.4740e-07, 1.8908e-07,\n 3.9346e-07, 4.1781e-07, 3.3507e-07, 2.3654e-07, 4.3065e-07, 2.2398e-15,\n 3.7701e-07, 4.1233e-07, 2.1751e-07, 3.8878e-07, 5.4075e-07, 5.4777e-07,\n 5.2886e-07, 4.0562e-07, 2.7422e-07, 4.5003e-07, 2.8292e-07, 4.2921e-07,\n 3.4534e-07, 2.1345e-07, 4.0643e-07, 7.4621e-07, 2.4236e-07, 5.3800e-07,\n 3.2723e-07, 5.9020e-07, 4.1647e-07, 6.1475e-07, 1.6163e-07, 6.0077e-07,\n 6.0399e-07, 6.7833e-07, 8.2945e-07, 3.5063e-07, 5.0820e-07, 4.1673e-07,\n 4.1482e-07, 7.0023e-07, 2.7133e-07, 3.6670e-07, 4.9629e-07, 3.1619e-07,\n 2.9640e-07, 2.3822e-07, 7.6810e-08, 4.8421e-07, 2.2558e-07, 5.3604e-07,\n 4.7887e-07, 5.1480e-07, 3.2878e-07, 6.5371e-07, 2.9507e-07, 2.9290e-07,\n 4.7715e-07, 4.1540e-07, 6.0668e-07, 4.6661e-07, 4.9506e-07, 2.3042e-07,\n 5.2414e-07, 3.8682e-07, 3.0927e-07, 2.1464e-07, 1.5432e-07, 2.3888e-07,\n 3.0761e-07, 1.9994e-07, 2.6545e-07, 3.9507e-07, 6.6907e-07, 4.2116e-07,\n 4.2793e-07, 5.7846e-07, 6.4881e-07, 4.4181e-07, 1.0540e-07, 7.9226e-07,\n 4.4806e-07, 4.6135e-07, 6.6322e-07, 3.3756e-07, 3.0772e-07, 6.5047e-07,\n 5.1120e-07, 4.5501e-07, 2.2361e-07, 7.9076e-07, 3.2080e-07, 1.0430e-09,\n 3.8042e-07, 4.0912e-07, 2.3389e-07, 2.9209e-07, 2.1960e-07, 3.2842e-07,\n 3.3549e-07, 4.0562e-07, 4.4690e-07, 2.8572e-07, 5.8275e-07, 5.0191e-07,\n 5.4766e-07, 2.8384e-07, 4.5149e-07, 2.3664e-07, 1.0455e-08, 6.0392e-07,\n 4.0145e-07, 2.8710e-07, 5.1689e-07, 4.0183e-07, 2.7466e-07, 1.9466e-07,\n 2.4865e-07, 2.5448e-07, 3.2309e-07, 1.9651e-07, 3.2357e-07, 8.9897e-07,\n 3.8397e-07, 4.2723e-07, 5.3729e-07, 4.8969e-07, 6.5440e-07, 5.0850e-07,\n 5.9515e-07, 5.0035e-07, 7.4258e-07, 5.0683e-07, 5.4641e-07, 2.0189e-07,\n 1.6596e-16, 6.6499e-07, 5.5023e-07, 3.1932e-07, 3.6105e-07, 6.1298e-07,\n 3.3548e-07, 3.3084e-07, 3.1938e-07, 6.1478e-07, 1.6463e-07, 1.2872e-07,\n 4.9612e-07, 5.8799e-07, 3.3898e-07, 4.0943e-07, 3.1607e-07, 4.3309e-07,\n 4.1719e-07, 1.7738e-07, 4.9472e-07, 5.5189e-07, 3.2298e-07, 2.5237e-07,\n 3.2492e-07, 4.5085e-07, 5.4742e-07, 5.8879e-07, 6.1076e-07, 8.3486e-07,\n 4.9658e-07, 2.4045e-07, 3.0293e-07, 4.7960e-07, 4.8984e-07, 4.0100e-07,\n 4.7781e-07, 2.6311e-07, 5.0894e-07, 3.5116e-07, 4.7168e-07, 8.5078e-07,\n 2.8361e-07, 5.2249e-07, 2.8813e-07, 3.2718e-07, 1.8626e-07, 2.5006e-07,\n 3.4277e-07, 3.4120e-07, 3.2144e-07, 5.0437e-07, 3.3093e-07, 5.0051e-07,\n 4.5540e-07, 6.1511e-07, 5.1284e-07, 4.3680e-07, 3.3738e-07, 3.0149e-07,\n 4.7970e-07, 2.5696e-07, 4.6504e-07, 3.9066e-07, 4.6030e-07, 3.8832e-07,\n 9.1776e-08, 2.8071e-07, 6.1818e-07, 4.4937e-07, 7.0595e-07, 4.4950e-07,\n 4.6531e-07, 4.7784e-07, 2.8059e-07, 7.4658e-07, 1.8031e-07, 2.5060e-07,\n 3.1726e-07, 6.5142e-07, 3.3772e-07, 1.8310e-07, 4.6568e-07, 4.4181e-07,\n 4.2281e-07, 3.6107e-07, 5.1441e-07, 5.3050e-07, 1.2671e-07, 4.3878e-07,\n 2.9601e-07, 5.5376e-07, 6.0354e-07, 5.0992e-07, 7.5289e-07, 2.2094e-07,\n 6.4931e-08, 5.4879e-07, 3.6594e-07, 3.7682e-07, 5.2444e-07, 3.6397e-07,\n 1.9318e-07, 2.9806e-07, 5.1638e-07, 6.3940e-07, 4.3617e-07, 3.0835e-07,\n 3.4528e-07, 5.7015e-07, 2.6914e-07, 4.9114e-07, 3.9302e-07, 2.3057e-07,\n 2.5393e-07, 3.7498e-07, 6.3723e-07, 4.4607e-07, 2.0030e-07, 5.8750e-07,\n 2.1584e-07, 4.1554e-07, 4.2400e-07, 3.4224e-07, 8.1866e-07, 2.9809e-07,\n 2.0921e-07, 4.7519e-07, 4.5442e-07, 2.4226e-07, 6.2201e-07, 4.0839e-07,\n 5.8200e-07, 6.4224e-07, 4.7172e-07, 2.5576e-07, 5.0983e-07, 5.0638e-07,\n 4.9579e-07, 2.4395e-07, 1.0644e-07, 4.3306e-07, 4.6720e-07, 3.9897e-07,\n 4.4289e-07, 8.2057e-09, 3.1663e-07, 9.4660e-07, 2.1463e-07, 1.7159e-07,\n 2.9124e-07, 5.2223e-07, 3.1503e-07, 5.6536e-07, 3.6594e-07, 4.0489e-07,\n 6.6517e-07, 2.4098e-07, 2.2393e-07, 4.5338e-07, 4.4010e-07, 3.3143e-07,\n 4.5810e-07, 2.1017e-07, 4.6123e-07, 6.2484e-07, 4.4140e-07, 4.5624e-07,\n 1.4758e-11, 5.0992e-07, 2.3912e-07, 5.1579e-07, 3.7319e-07, 5.0737e-07,\n 5.3290e-07, 3.6051e-07, 2.2441e-07, 3.5299e-07, 2.4764e-07, 3.4130e-07,\n 3.6462e-08, 2.5128e-07, 5.4420e-09, 4.0580e-07, 6.0589e-07, 5.6025e-07,\n 4.2791e-07, 5.6832e-07, 4.4755e-07, 1.6124e-07, 3.6226e-07, 6.3319e-07,\n 3.8873e-07, 4.2324e-07, 5.7647e-07, 5.2951e-07, 2.5311e-07, 2.2406e-07,\n 2.7735e-07, 4.2267e-07, 2.0156e-07, 6.0279e-07, 5.0002e-07, 2.6103e-07,\n 6.4814e-07, 3.5559e-07, 7.1142e-07, 4.5199e-07, 4.3067e-07, 7.7637e-07,\n 3.8712e-07, 4.8204e-07, 6.2978e-07, 3.1425e-07, 5.8953e-07, 6.5175e-07,\n 4.2345e-07, 2.8833e-07, 6.9242e-07, 3.0576e-07, 2.9983e-07, 2.4886e-07,\n 2.5190e-07, 3.7736e-07, 2.8962e-07, 2.9376e-07, 7.8339e-07, 3.6087e-07,\n 2.0723e-07, 4.6125e-07, 2.2941e-07, 7.7926e-07, 6.1360e-07, 5.5141e-07,\n 2.8900e-07, 3.6297e-07, 2.6125e-07, 2.0251e-07, 4.6401e-07, 1.6262e-07,\n 1.8248e-07, 3.6406e-07, 5.5654e-07, 4.4869e-07, 2.0911e-07, 2.9894e-07,\n 7.4050e-07, 3.9037e-07, 2.1039e-13, 3.3572e-07, 1.9306e-07, 6.3397e-07,\n 5.2783e-07, 1.8366e-07, 3.5176e-07, 4.9930e-07, 6.5063e-07, 4.7547e-07,\n 1.8812e-07, 3.3188e-07, 7.3594e-08, 4.3111e-07, 4.8595e-07, 2.3549e-07,\n 2.9108e-07, 5.8303e-07, 6.6009e-07, 1.8412e-07, 3.2794e-07, 5.4452e-07,\n 2.2323e-07, 5.0946e-07, 8.1826e-07, 2.7505e-07, 5.3600e-07, 4.5628e-07,\n 3.8038e-07, 2.9003e-07, 3.7763e-07, 4.8779e-07, 2.2477e-07, 3.1693e-07,\n 6.9090e-07, 3.7828e-07, 3.1496e-07, 3.8370e-07, 4.8291e-07, 5.3087e-07,\n 1.3978e-07, 5.1581e-07, 4.9655e-07, 6.9022e-07, 7.8373e-07, 4.8621e-07,\n 3.0570e-07, 6.3252e-07, 3.7424e-07, 5.7693e-18, 4.0560e-07, 7.3005e-07,\n 2.8521e-07, 5.1881e-07, 4.3237e-07, 5.1581e-07, 3.0775e-07, 5.5621e-07,\n 3.6184e-07, 9.2218e-07, 1.2871e-07, 4.3169e-07, 1.9843e-07, 1.0242e-07,\n 2.5739e-07, 4.5693e-07], device='cuda:0')" }, "4": { "step": "tensor(6260.)", "exp_avg": "tensor([[ 1.8051e-06, 7.7717e-06, -1.1762e-05, ..., -1.7779e-06,\n -1.6077e-06, -7.2762e-06],\n [ 3.8044e-06, -8.7437e-06, -2.4373e-05, ..., 1.3913e-06,\n 9.0766e-08, -6.5949e-06],\n [ 6.6412e-06, -1.3297e-05, 4.6889e-05, ..., 2.4836e-07,\n 1.4580e-05, 6.9022e-06],\n ...,\n [ 8.5893e-05, 2.2444e-06, -3.4216e-05, ..., -1.5663e-06,\n 1.0801e-05, -4.8861e-06],\n [-5.1267e-06, -1.1652e-05, -2.3581e-05, ..., -1.0031e-07,\n 8.5159e-07, 1.2613e-05],\n [ 4.8896e-05, -1.6472e-05, -3.4303e-05, ..., 9.9761e-07,\n -1.0900e-05, -1.6162e-05]], device='cuda:0')", "exp_avg_sq": "tensor([[4.1308e-09, 1.6604e-09, 1.8253e-09, ..., 9.7495e-11, 6.8655e-10,\n 4.2496e-09],\n [8.3453e-09, 5.4105e-09, 6.6297e-09, ..., 1.1778e-10, 1.0796e-09,\n 8.1224e-09],\n [5.3479e-09, 4.2595e-09, 3.1662e-09, ..., 2.6425e-10, 1.9064e-09,\n 4.0530e-09],\n ...,\n [3.1641e-08, 3.7727e-09, 7.7409e-09, ..., 1.6950e-10, 3.6582e-09,\n 7.5386e-09],\n [7.7039e-09, 3.5320e-09, 6.5373e-09, ..., 1.2939e-10, 6.4699e-09,\n 9.9044e-09],\n [9.4282e-09, 5.2435e-09, 9.9640e-09, ..., 2.3744e-10, 1.0114e-09,\n 1.0140e-08]], device='cuda:0')" }, "5": { "step": "tensor(5008.)", "exp_avg": "tensor([[ 2.9052e-07, -2.2928e-08, -4.3634e-08, ..., -6.0430e-07,\n 0.0000e+00, 9.5430e-07],\n [-2.2505e-07, 4.2085e-07, 5.5051e-07, ..., 1.4380e-06,\n 0.0000e+00, -1.6246e-08],\n [-1.1071e-06, -1.2538e-07, 1.2875e-07, ..., -3.5246e-06,\n 0.0000e+00, -2.3430e-06],\n ...,\n [ 7.2477e-07, 7.6364e-07, 3.4231e-07, ..., -9.2964e-08,\n 0.0000e+00, -4.8257e-07],\n [-8.8239e-08, 1.4731e-07, 1.9609e-06, ..., 1.0204e-06,\n 0.0000e+00, 1.1838e-06],\n [-8.0134e-07, -1.5626e-06, -5.1318e-07, ..., -3.0431e-06,\n 0.0000e+00, 1.0494e-06]], device='cuda:0')", "exp_avg_sq": "tensor([[4.0832e-11, 7.7793e-12, 1.9464e-11, ..., 8.1092e-12, 0.0000e+00,\n 1.2444e-11],\n [4.0658e-11, 8.6062e-12, 2.6192e-11, ..., 3.9069e-11, 0.0000e+00,\n 1.8913e-11],\n [2.4880e-11, 1.2028e-11, 2.6414e-11, ..., 7.8947e-11, 0.0000e+00,\n 1.1963e-10],\n ...,\n [4.8356e-11, 1.9637e-11, 1.0225e-11, ..., 4.4803e-12, 0.0000e+00,\n 8.1128e-12],\n [1.7608e-12, 4.0500e-12, 1.1602e-10, ..., 1.0861e-10, 0.0000e+00,\n 2.0399e-11],\n [1.0155e-11, 1.2418e-11, 2.5896e-11, ..., 3.7060e-10, 0.0000e+00,\n 4.8629e-11]], device='cuda:0')" }, "6": { "step": "tensor(5008.)", "exp_avg": "tensor([-2.9050e-05, 3.7621e-06, -5.0623e-05, ..., 3.0815e-06,\n -2.6227e-05, 5.0914e-06], device='cuda:0')", "exp_avg_sq": "tensor([4.7790e-09, 3.2526e-09, 4.1045e-09, ..., 2.5641e-09, 3.0099e-09,\n 2.8913e-09], device='cuda:0')" }, "7": { "step": "tensor(5008.)", "exp_avg": "tensor([[ 2.7085e-07, -4.0476e-07, 5.9547e-07, ..., 5.3408e-07,\n -1.3915e-06, -1.4484e-06],\n [ 5.7098e-08, 1.6263e-06, -1.3432e-06, ..., -8.1884e-07,\n -9.3186e-07, 4.7864e-07],\n [-3.6681e-07, 1.1444e-06, 5.7836e-07, ..., 5.7105e-07,\n -5.0189e-07, 1.1652e-06],\n ...,\n [-9.8853e-07, -3.5932e-06, -2.1081e-06, ..., -1.0942e-06,\n -2.0264e-06, 8.8557e-07],\n [-1.1547e-06, 1.0930e-06, -1.8229e-07, ..., -6.1655e-07,\n 1.6886e-06, 1.7918e-07],\n [ 2.8115e-06, -1.4956e-06, 2.8647e-07, ..., 4.3480e-06,\n 2.1652e-07, 1.1223e-06]], device='cuda:0')", "exp_avg_sq": "tensor([[1.4066e-11, 6.0948e-12, 7.8347e-12, ..., 7.1691e-12, 6.5819e-12,\n 7.8594e-12],\n [1.8706e-11, 1.1371e-11, 1.3297e-11, ..., 1.5869e-11, 1.2163e-11,\n 1.2811e-11],\n [1.8208e-11, 1.2180e-11, 1.1863e-11, ..., 1.2269e-11, 1.0056e-11,\n 1.6568e-11],\n ...,\n [1.7239e-11, 2.1737e-11, 2.0287e-11, ..., 1.3141e-11, 1.5983e-11,\n 1.4509e-11],\n [1.5653e-11, 1.1913e-11, 1.5217e-11, ..., 9.6066e-12, 1.0947e-11,\n 1.5791e-11],\n [2.1784e-11, 1.2656e-11, 1.6639e-11, ..., 5.4514e-11, 1.2477e-11,\n 1.0659e-11]], device='cuda:0')" }, "32": { "step": "tensor(5008.)", "exp_avg": "tensor([5.6052e-45], device='cuda:0')", "exp_avg_sq": "tensor([2.3813e-07], device='cuda:0')" }, "33": { "step": "tensor(5008.)", "exp_avg": "tensor([-5.6052e-45, 5.6052e-45, -5.6052e-45], device='cuda:0')", "exp_avg_sq": "tensor([2.1677e-09, 1.0537e-08, 3.2088e-09], device='cuda:0')" }, "34": { "step": "tensor(5008.)", "exp_avg": "tensor([-5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45],\n device='cuda:0')", "exp_avg_sq": "tensor([1.2936e-05, 1.1728e-07, 1.5841e-07, 1.6438e-07, 1.8847e-07, 2.1650e-07,\n 1.7212e-07, 1.2747e-07, 1.6100e-07, 1.4307e-07], device='cuda:0')" }, "36": { "step": "tensor(5008.)", "exp_avg": "tensor([[ 5.6052e-45, 5.6052e-45, 5.6052e-45, ..., 5.6052e-45,\n 0.0000e+00, 5.6052e-45],\n [ 5.6052e-45, -5.6052e-45, 5.6052e-45, ..., 5.6052e-45,\n 0.0000e+00, -5.6052e-45],\n [ 5.6052e-45, 5.6052e-45, 5.6052e-45, ..., 5.6052e-45,\n 0.0000e+00, 5.6052e-45],\n ...,\n [ 5.6052e-45, 5.6052e-45, 5.6052e-45, ..., 5.6052e-45,\n 0.0000e+00, 5.6052e-45],\n [ 5.6052e-45, 5.6052e-45, -5.6052e-45, ..., 5.6052e-45,\n 0.0000e+00, 5.6052e-45],\n [-5.6052e-45, 5.6052e-45, -5.6052e-45, ..., 5.6052e-45,\n 0.0000e+00, 5.6052e-45]], device='cuda:0')", "exp_avg_sq": "tensor([[1.9978e-14, 9.0025e-15, 1.3375e-14, ..., 5.8468e-14, 0.0000e+00,\n 1.9733e-14],\n [3.5963e-15, 8.6944e-15, 2.6151e-14, ..., 2.8911e-14, 0.0000e+00,\n 1.1606e-14],\n [3.2274e-12, 7.6360e-13, 4.2429e-11, ..., 1.3603e-11, 0.0000e+00,\n 3.7956e-11],\n ...,\n [8.9948e-13, 3.7408e-14, 7.0843e-12, ..., 3.9534e-12, 0.0000e+00,\n 1.0637e-11],\n [2.4244e-14, 8.7240e-15, 2.5640e-15, ..., 9.5197e-14, 0.0000e+00,\n 4.9087e-14],\n [8.1793e-16, 1.5347e-14, 2.0049e-15, ..., 5.1406e-15, 0.0000e+00,\n 2.0940e-14]], device='cuda:0')" }, "37": { "step": "tensor(5008.)", "exp_avg": "tensor([ 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 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6.2295e-11, 7.5230e-12,\n 2.2212e-13, 1.4894e-12, 4.4692e-14, 1.1311e-12, 1.0582e-11, 1.1909e-11,\n 8.3862e-13, 1.0809e-12, 1.0865e-11, 5.9651e-13, 7.6405e-12, 4.7399e-12,\n 3.9390e-12, 3.5885e-11, 7.5869e-12, 5.8530e-12, 6.3753e-12, 9.1851e-11,\n 3.1557e-11, 2.0942e-11, 2.3561e-10, 3.6821e-13, 3.5264e-12, 1.0358e-12,\n 9.4137e-12, 8.8770e-13, 3.9976e-11, 1.3051e-12, 3.7652e-11, 9.3495e-13,\n 2.5902e-12, 4.0672e-11, 1.6321e-14, 1.8929e-12, 3.8018e-12, 4.0204e-12,\n 7.8766e-13, 2.5730e-11, 9.5770e-12, 7.9764e-12, 6.0478e-11, 4.2259e-12,\n 8.7117e-13, 5.6561e-12, 5.4368e-14, 2.4078e-12, 1.0680e-11, 1.0578e-10,\n 1.2747e-11, 1.2617e-12, 1.2465e-14, 4.7263e-12, 5.1025e-12, 5.5920e-11,\n 6.8172e-13, 4.1648e-12, 1.5258e-12, 9.6215e-12, 6.2051e-12, 5.4793e-12,\n 1.4389e-12, 2.3395e-11, 3.2969e-11, 1.7767e-11, 2.2130e-11, 5.6316e-12,\n 1.9406e-12, 3.7025e-14, 5.7369e-12, 1.9835e-12, 7.6573e-13, 3.4124e-12,\n 3.8937e-12, 6.3891e-14, 4.3504e-11, 7.7361e-12, 2.1372e-12, 4.0352e-15,\n 4.7077e-13, 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8.3914e-12, 4.0014e-11,\n 3.2634e-13, 7.0845e-12, 1.8767e-12, 2.5925e-12, 1.3799e-12, 1.9873e-12,\n 3.9385e-12, 6.2733e-11, 1.0854e-11, 4.9619e-11, 9.6626e-12, 1.2148e-12,\n 1.4368e-12, 3.5516e-14, 2.7548e-12, 4.8309e-13, 6.3459e-13, 2.3101e-11,\n 2.2156e-12, 9.3900e-13, 9.1007e-11, 1.2032e-11, 2.4887e-12, 4.9114e-14,\n 3.0020e-13, 3.5795e-12, 5.0175e-12, 1.6990e-12, 9.8227e-11, 3.3366e-13,\n 8.7830e-11, 6.0927e-11, 7.7274e-12, 1.0875e-12, 1.7983e-12, 1.1551e-12,\n 1.9002e-13, 3.2457e-11, 7.2612e-13, 4.0040e-12, 2.6859e-12, 9.9456e-13,\n 2.5324e-12, 2.6372e-11, 6.5774e-12, 2.6338e-13, 1.8775e-11, 1.5775e-12,\n 2.4182e-12, 6.1742e-12, 1.2237e-12, 3.1897e-12, 1.3208e-12, 1.3634e-11,\n 5.0544e-11, 1.0006e-11, 3.3348e-12, 9.0311e-14, 2.0913e-12, 7.8762e-11,\n 5.5483e-13, 5.8995e-12, 1.8475e-12, 4.4877e-12, 1.6183e-13, 1.0824e-12,\n 7.1972e-11, 2.7938e-12, 1.9521e-13, 6.5242e-12, 5.5148e-12, 6.9905e-13,\n 1.6890e-11, 2.9662e-11, 6.7764e-13, 1.4140e-12, 2.6057e-11, 1.5221e-13,\n 1.2812e-12, 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7.4883e-13, 1.4232e-11,\n 1.4536e-11, 6.5740e-13, 1.0378e-11, 2.5494e-12, 8.1695e-12, 1.0883e-11,\n 7.4965e-12, 4.3875e-12, 2.2249e-12, 5.2209e-12, 1.2320e-12, 3.0936e-13,\n 2.8448e-11, 7.2805e-12, 8.7219e-13, 1.5963e-11, 1.2195e-12, 1.5670e-13,\n 2.9385e-11, 3.1586e-11, 7.7952e-11, 1.6647e-11, 5.1266e-13, 1.6946e-11,\n 1.0805e-12, 2.3883e-11, 3.2270e-13, 3.8248e-12], device='cuda:0')" }, "43": { "step": "tensor(5008.)", "exp_avg": "tensor([-5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 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1.3065e-11, 7.9260e-12,\n 1.2533e-12, 6.0188e-13, 2.6196e-12, 3.6392e-13, 1.2754e-11, 6.8879e-12,\n 1.8344e-11, 2.1396e-11, 7.8352e-12, 9.9471e-12, 5.6990e-12, 5.9798e-11,\n 5.6411e-11, 2.6150e-12, 2.5393e-10, 1.9486e-12, 3.2871e-12, 4.3734e-13,\n 8.5655e-12, 5.9951e-13, 6.5889e-12, 2.3052e-12, 1.7875e-11, 5.5844e-13,\n 1.0677e-13, 1.2666e-10, 5.0235e-14, 4.7998e-12, 1.2132e-11, 1.1846e-11,\n 2.4029e-13, 7.4572e-12, 1.1787e-11, 1.2492e-12, 4.1549e-11, 2.7304e-12,\n 1.7745e-12, 2.8722e-11, 1.3733e-12, 2.5085e-12, 5.1431e-11, 5.6446e-11,\n 1.0211e-11, 1.2845e-11, 6.1667e-13, 7.7211e-12, 9.4705e-12, 4.5440e-11,\n 4.0474e-13, 1.2844e-11, 3.0411e-12, 6.8206e-12, 2.5546e-12, 2.6655e-12,\n 5.0823e-12, 7.1356e-11, 2.2580e-11, 5.8325e-11, 1.4045e-11, 2.1991e-12,\n 2.4917e-12, 7.6391e-14, 6.2233e-12, 9.9813e-13, 8.9076e-13, 1.6906e-11,\n 4.1738e-12, 8.4012e-13, 9.4449e-11, 1.0843e-11, 3.4772e-12, 6.9717e-14,\n 3.1853e-13, 5.6534e-12, 1.0140e-11, 3.1930e-12, 9.2452e-11, 3.6375e-13,\n 8.7267e-11, 6.0409e-11, 9.3522e-12, 1.7436e-12, 2.8077e-12, 2.0288e-12,\n 1.8045e-13, 4.5200e-11, 6.0468e-13, 7.5727e-12, 6.4819e-12, 1.4859e-12,\n 6.4989e-12, 2.7996e-11, 8.6049e-12, 6.7582e-13, 3.2690e-11, 2.8174e-12,\n 3.1235e-12, 1.0728e-11, 1.3052e-12, 7.1921e-12, 1.7676e-12, 2.7734e-11,\n 7.2600e-11, 1.0576e-11, 8.7110e-12, 6.3178e-13, 2.5184e-12, 9.8882e-11,\n 7.7047e-13, 6.6190e-12, 2.4453e-12, 7.3561e-12, 2.4729e-13, 2.6464e-12,\n 9.7647e-11, 4.6531e-12, 3.3588e-13, 8.4442e-12, 6.5463e-12, 7.7911e-13,\n 2.6410e-11, 4.7160e-11, 1.2673e-12, 2.9850e-12, 3.3607e-11, 2.7859e-13,\n 1.7236e-12, 8.7213e-12, 2.2254e-12, 2.9150e-11, 7.7986e-13, 1.9063e-11,\n 2.0103e-12, 4.5006e-14, 2.5394e-11, 6.2953e-12, 2.3425e-12, 2.5065e-11,\n 8.4711e-12, 3.2081e-11, 1.0592e-13, 5.0280e-12, 1.2092e-12, 2.6745e-11,\n 9.3083e-14, 4.1189e-11, 5.5673e-12, 2.4838e-11, 2.4674e-12, 8.8197e-12,\n 2.6688e-13, 1.9946e-14, 2.1752e-12, 9.6616e-12, 8.0301e-12, 1.0548e-11,\n 3.7527e-12, 3.2831e-12, 4.4374e-11, 9.8977e-12, 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5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45], device='cuda:0')", "exp_avg_sq": "tensor([1.6910e-14, 1.2480e-13, 1.1601e-10, 2.3355e-15, 3.0010e-11, 2.0215e-11,\n 4.4793e-12, 4.8143e-12, 1.1492e-10, 2.6469e-12, 2.6985e-12, 8.5292e-12,\n 1.1463e-13, 1.8682e-12, 5.5823e-13, 1.6039e-12, 7.8503e-12, 2.0151e-12,\n 3.3576e-13, 2.2860e-13, 5.6979e-12, 9.2634e-13, 1.4247e-11, 8.6733e-13,\n 1.5434e-11, 1.9867e-11, 4.0770e-12, 3.8751e-12, 3.8925e-12, 3.1569e-11,\n 1.8073e-12, 4.2801e-12, 1.7605e-10, 1.4493e-12, 8.9209e-13, 1.5721e-13,\n 9.1879e-12, 5.9724e-13, 5.2179e-12, 2.8333e-12, 3.8141e-12, 1.4796e-13,\n 6.8793e-14, 1.5738e-11, 5.1115e-15, 6.4912e-12, 1.7920e-12, 5.3195e-12,\n 1.1283e-12, 1.7709e-12, 1.9503e-11, 8.7206e-13, 5.0479e-12, 1.2134e-12,\n 2.2808e-12, 6.0230e-11, 4.1495e-13, 2.7983e-12, 3.7216e-12, 7.9669e-11,\n 5.7428e-12, 6.2840e-12, 6.7150e-13, 6.4550e-12, 7.1654e-12, 2.1805e-11,\n 8.8047e-14, 1.2142e-11, 8.0042e-13, 2.6405e-12, 3.3404e-12, 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2.4483e-12,\n 5.9293e-12, 1.1525e-11, 9.9460e-13, 7.3762e-13, 5.6430e-12, 2.3315e-13,\n 8.4356e-11, 3.0493e-12, 4.7529e-13, 2.0433e-11, 4.7109e-12, 4.8635e-14,\n 9.8702e-12, 2.4215e-12, 1.1779e-10, 1.3514e-10, 1.0660e-12, 2.3356e-12,\n 1.3917e-12, 3.1707e-11, 6.4994e-13, 1.4066e-13], device='cuda:0')" }, "47": { "step": "tensor(5008.)", "exp_avg": "tensor([ 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 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1.8306e-12,\n 1.4299e-11, 4.0954e-11, 6.2449e-12, 5.5499e-12, 3.2075e-12, 4.6348e-11,\n 1.6282e-12, 5.7856e-12, 2.3388e-10, 2.5118e-12, 1.7461e-12, 2.2901e-13,\n 1.3107e-11, 6.1610e-13, 1.0645e-11, 3.5860e-12, 6.6771e-12, 4.1129e-13,\n 1.2475e-13, 2.4782e-11, 1.3143e-14, 6.8017e-12, 3.8740e-12, 6.3224e-12,\n 1.2707e-12, 4.0446e-12, 3.3068e-11, 1.4648e-12, 1.0696e-11, 2.1730e-12,\n 1.8403e-12, 5.4709e-11, 6.1511e-13, 4.2284e-12, 5.9706e-12, 1.1046e-10,\n 9.3553e-12, 8.9044e-12, 8.1452e-13, 1.7360e-11, 1.0369e-11, 3.2166e-11,\n 1.9433e-13, 1.8360e-11, 1.6675e-12, 5.5954e-12, 5.9034e-12, 1.6726e-11,\n 4.6873e-13, 4.1145e-11, 4.4548e-11, 3.3011e-11, 2.8812e-12, 3.0741e-12,\n 9.2058e-13, 9.4088e-14, 1.1418e-11, 7.5864e-13, 1.2825e-12, 9.7047e-13,\n 8.4739e-12, 2.0804e-13, 3.3725e-11, 5.9136e-12, 3.1804e-12, 1.2696e-14,\n 3.2986e-14, 5.1512e-12, 1.4728e-11, 1.0767e-11, 3.0582e-11, 1.5479e-12,\n 4.9221e-11, 3.1968e-11, 1.5861e-12, 2.6995e-12, 6.5358e-12, 2.3632e-12,\n 4.4830e-12, 5.0080e-11, 8.4217e-12, 6.6929e-12, 1.2084e-11, 1.0948e-12,\n 6.5900e-12, 1.2920e-12, 3.5401e-13, 2.7275e-12, 1.9555e-12, 4.0471e-12,\n 1.0383e-12, 1.1129e-11, 1.8654e-12, 5.2068e-11, 1.0028e-12, 3.5284e-11,\n 6.4567e-11, 5.9778e-12, 4.1777e-11, 1.6377e-12, 2.9711e-12, 7.9615e-11,\n 3.7869e-12, 2.5918e-12, 2.8660e-12, 7.9046e-12, 3.8584e-13, 4.0753e-12,\n 1.7169e-10, 1.4956e-11, 3.8554e-13, 9.7635e-12, 7.0886e-12, 5.7711e-12,\n 5.3813e-11, 2.5319e-11, 5.5632e-12, 1.2976e-12, 1.4572e-11, 2.4282e-13,\n 1.1378e-13, 1.2989e-11, 6.4210e-12, 1.0382e-11, 3.6319e-13, 3.0793e-12,\n 4.3029e-12, 3.0514e-16, 1.2469e-11, 2.8085e-12, 6.9136e-13, 6.0078e-11,\n 3.8611e-12, 1.5585e-11, 2.3368e-14, 2.5282e-12, 7.0607e-13, 4.1235e-11,\n 3.6250e-13, 2.0890e-11, 7.2194e-11, 1.1930e-11, 1.7617e-12, 9.8458e-12,\n 3.9597e-13, 5.2749e-14, 7.9145e-12, 2.3298e-11, 4.7184e-11, 6.6788e-12,\n 6.5383e-12, 1.9624e-13, 1.9491e-11, 5.0178e-12, 9.2949e-13, 8.2414e-13,\n 1.6430e-12, 1.1008e-11, 8.2518e-14, 5.0388e-13, 2.2672e-12, 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9.1086e-14]], device='cuda:0')" }, "49": { "step": "tensor(5008.)", "exp_avg": "tensor([ 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 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device='cuda:0')", "exp_avg_sq": "tensor([3.9446e-15, 1.7013e-13, 3.5363e-11, 3.7492e-13, 3.3681e-12, 2.8597e-11,\n 1.6346e-11, 2.9354e-12, 6.1217e-12, 2.2087e-12, 3.5292e-11, 8.6545e-12,\n 3.9509e-12, 5.9049e-12, 5.7731e-14, 3.2940e-12, 4.0845e-12, 2.3014e-12,\n 7.1147e-13, 7.6498e-13, 1.1166e-11, 1.8883e-13, 9.4184e-13, 2.6065e-12,\n 5.8489e-12, 3.3253e-12, 3.2642e-12, 2.2662e-11, 6.0461e-12, 1.1400e-11,\n 1.6907e-11, 3.2851e-11, 1.1364e-10, 2.9929e-13, 1.3659e-11, 9.7027e-14,\n 1.4386e-11, 8.8877e-13, 8.3707e-11, 1.0545e-12, 4.3594e-12, 2.8653e-13,\n 7.8511e-13, 2.5977e-11, 7.0402e-16, 1.0098e-12, 8.8536e-12, 5.5622e-12,\n 2.5512e-12, 8.1338e-12, 1.7832e-11, 5.7583e-12, 1.7500e-11, 1.0162e-12,\n 2.1618e-12, 5.2277e-11, 2.0231e-13, 9.8465e-12, 2.5800e-11, 2.8825e-11,\n 3.0533e-12, 3.6857e-12, 1.6759e-13, 3.2632e-11, 1.3117e-12, 6.8141e-11,\n 7.9564e-14, 7.5297e-12, 8.4702e-12, 3.9836e-12, 1.6289e-11, 2.5989e-11,\n 7.2750e-12, 1.1007e-11, 4.7434e-12, 2.1002e-11, 1.6529e-11, 4.5184e-12,\n 6.7395e-13, 5.6244e-14, 2.7756e-11, 3.4398e-12, 2.5473e-12, 2.3198e-11,\n 1.9107e-12, 5.8781e-13, 7.6221e-11, 1.2223e-12, 2.4039e-12, 8.3100e-14,\n 8.3892e-16, 2.5367e-12, 8.1515e-12, 2.1474e-12, 6.4814e-11, 1.3938e-12,\n 2.4542e-11, 5.5510e-11, 5.1320e-12, 1.2880e-11, 4.2488e-12, 1.6749e-12,\n 7.2756e-13, 1.2870e-11, 7.7191e-12, 4.4262e-12, 7.2851e-12, 1.0160e-12,\n 3.7101e-12, 4.0345e-12, 2.5730e-12, 5.5181e-13, 3.5068e-11, 4.4474e-13,\n 6.8119e-13, 2.8753e-11, 1.5980e-12, 7.0007e-12, 2.6739e-12, 2.0930e-12,\n 1.0492e-10, 5.0731e-12, 3.6473e-11, 2.3785e-12, 5.0099e-13, 1.4207e-10,\n 1.8123e-11, 6.5164e-13, 4.7694e-13, 1.8496e-11, 4.1208e-15, 3.1593e-12,\n 3.6330e-11, 2.9122e-11, 1.7786e-13, 2.5210e-12, 1.3638e-11, 1.5864e-12,\n 2.6609e-11, 1.4127e-11, 3.4335e-12, 2.6931e-12, 9.5511e-12, 8.0765e-14,\n 7.9081e-13, 1.2941e-12, 4.2906e-13, 2.8804e-11, 1.7371e-12, 1.3982e-12,\n 3.5023e-12, 3.5601e-12, 5.6386e-12, 4.6609e-12, 2.2291e-12, 2.4865e-11,\n 4.5483e-13, 9.2786e-11, 1.9414e-14, 1.0120e-12, 6.6343e-13, 2.3220e-12,\n 6.3974e-14, 3.1198e-12, 2.3792e-11, 1.3209e-11, 4.7651e-13, 3.2238e-12,\n 2.8018e-14, 9.0746e-13, 2.7184e-13, 7.0493e-12, 3.6847e-12, 4.9255e-12,\n 3.0911e-12, 6.0458e-13, 2.0842e-11, 1.2759e-11, 8.6891e-13, 7.2465e-14,\n 7.7692e-12, 1.6348e-11, 2.9469e-14, 2.4112e-12, 3.3939e-12, 2.0863e-11,\n 7.9514e-13, 1.9575e-13, 2.9000e-12, 7.0354e-13, 2.6198e-12, 1.0132e-13,\n 4.8448e-12, 1.9972e-12, 1.7503e-11, 2.1070e-12, 7.6691e-13, 5.5358e-12,\n 6.0560e-11, 2.7921e-12, 5.4803e-12, 3.3723e-13, 3.7292e-11, 1.0099e-13,\n 9.6197e-12, 1.3410e-14, 1.4026e-11, 4.8940e-12, 1.2014e-12, 7.7915e-12,\n 7.4482e-11, 2.2428e-12, 4.2812e-12, 2.1836e-11, 1.3815e-10, 1.8123e-12,\n 1.8576e-12, 8.0104e-13, 1.3213e-10, 1.5174e-13, 6.6309e-13, 1.8447e-10,\n 2.9563e-13, 2.1325e-11, 6.4421e-11, 8.4506e-13, 1.7039e-12, 3.4314e-11,\n 3.1699e-12, 1.3728e-12, 3.4108e-11, 7.6055e-12, 3.7477e-13, 1.8525e-12,\n 9.8873e-12, 1.4587e-11, 1.7873e-12, 1.8545e-12, 1.0156e-12, 9.6140e-13,\n 4.7545e-12, 5.6392e-12, 1.0308e-12, 8.6286e-11, 7.9691e-12, 4.2131e-13,\n 6.2941e-12, 3.7936e-11, 2.9666e-11, 3.8387e-11, 9.4171e-13, 3.3925e-12,\n 7.0121e-13, 1.0920e-11, 1.8017e-13, 1.1953e-13], device='cuda:0')" }, "51": { "step": "tensor(5008.)", "exp_avg": "tensor([ 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n 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4.7247e-12, 2.4627e-11,\n 3.3518e-11, 3.8740e-11, 2.1753e-10, 6.3721e-13, 1.0240e-11, 2.2075e-13,\n 1.8404e-11, 1.0046e-12, 7.2519e-11, 2.3052e-12, 1.1353e-11, 3.5135e-13,\n 1.2879e-12, 4.6827e-11, 2.1746e-14, 2.1334e-12, 1.0096e-11, 7.5828e-12,\n 1.7853e-12, 1.3663e-11, 2.4683e-11, 6.9277e-12, 2.5599e-11, 2.1567e-12,\n 2.7751e-12, 5.6628e-11, 3.5789e-13, 8.7624e-12, 4.6061e-11, 5.8191e-11,\n 7.5362e-12, 6.2666e-12, 3.2223e-13, 4.6420e-11, 2.5206e-12, 6.0031e-11,\n 9.6485e-14, 1.5275e-11, 9.3053e-12, 9.0184e-12, 1.9217e-11, 3.0065e-11,\n 7.1173e-12, 2.2132e-11, 1.0586e-11, 3.5385e-11, 2.1528e-11, 8.7994e-12,\n 1.4174e-12, 5.5902e-14, 4.3463e-11, 3.2915e-12, 2.7927e-12, 1.7783e-11,\n 3.6524e-12, 7.5615e-13, 9.5006e-11, 3.0006e-12, 4.1401e-12, 6.3401e-14,\n 5.5399e-14, 3.7052e-12, 1.3467e-11, 3.2279e-12, 8.0151e-11, 2.3562e-12,\n 4.7693e-11, 6.5444e-11, 8.6732e-12, 7.2659e-12, 6.5077e-12, 2.9720e-12,\n 1.3360e-12, 2.0173e-11, 1.2261e-11, 7.9687e-12, 1.2155e-11, 1.3028e-12,\n 7.0867e-12, 9.0318e-12, 4.7541e-12, 1.1375e-12, 5.1654e-11, 1.1918e-12,\n 1.8711e-12, 5.4707e-11, 2.1565e-12, 1.0726e-11, 2.8754e-12, 3.7087e-12,\n 1.1534e-10, 1.0239e-11, 4.0964e-11, 2.8234e-12, 6.5787e-13, 1.2725e-10,\n 1.5988e-11, 1.0602e-12, 6.1938e-13, 1.9822e-11, 1.3761e-14, 4.5356e-12,\n 6.5283e-11, 4.1253e-11, 2.5504e-13, 4.5234e-12, 1.1883e-11, 3.3010e-12,\n 3.7629e-11, 2.7906e-11, 4.9464e-12, 4.6959e-12, 1.8779e-11, 3.3781e-13,\n 1.7459e-12, 2.3829e-12, 1.3694e-12, 2.3795e-11, 1.5385e-12, 2.4355e-12,\n 3.4555e-12, 3.5687e-12, 9.4784e-12, 6.5100e-12, 3.2782e-12, 3.3078e-11,\n 7.9779e-13, 1.0371e-10, 3.9868e-14, 2.2999e-12, 9.8232e-13, 3.1593e-12,\n 1.4712e-13, 5.7708e-12, 3.0069e-11, 1.9207e-11, 1.2066e-12, 6.6168e-12,\n 1.0036e-13, 1.2355e-12, 4.1535e-13, 9.2143e-12, 7.0252e-12, 9.2337e-12,\n 4.8243e-12, 1.2716e-12, 3.5453e-11, 2.1932e-11, 1.0855e-12, 9.8796e-14,\n 6.0680e-12, 1.6950e-11, 5.7725e-14, 3.5970e-12, 2.9387e-12, 4.7509e-11,\n 9.1291e-13, 3.6445e-13, 2.9615e-12, 1.1935e-12, 5.6111e-12, 3.1009e-13,\n 9.9820e-12, 3.9080e-12, 2.3213e-11, 3.6136e-12, 1.7276e-12, 9.9397e-12,\n 4.6262e-11, 5.5634e-12, 7.4620e-12, 6.2364e-13, 7.8575e-11, 2.4546e-13,\n 9.3465e-12, 1.8893e-14, 1.1978e-11, 1.0655e-11, 1.3060e-12, 8.0197e-12,\n 6.7673e-11, 3.1013e-12, 5.4417e-12, 5.9721e-11, 2.2024e-10, 3.3319e-12,\n 2.3911e-12, 2.0263e-12, 1.1678e-10, 2.3709e-13, 1.9108e-12, 2.2420e-10,\n 4.0373e-13, 1.7079e-11, 8.0098e-11, 1.1628e-12, 2.5577e-12, 3.6156e-11,\n 9.3960e-12, 2.7998e-12, 4.7994e-11, 1.0147e-11, 4.7224e-13, 3.9185e-12,\n 1.7163e-11, 1.6187e-11, 2.7015e-12, 3.5302e-12, 1.8195e-12, 1.1401e-12,\n 1.0332e-11, 8.0481e-12, 1.3956e-12, 1.0014e-10, 1.4000e-11, 5.9840e-13,\n 1.1506e-11, 4.6302e-11, 5.7676e-11, 5.2285e-11, 1.6572e-12, 5.5282e-12,\n 1.9896e-12, 2.1313e-11, 2.5921e-13, 8.9746e-14], device='cuda:0')" }, "52": { "step": "tensor(5008.)", "exp_avg": "tensor([[-5.6052e-45, -5.6052e-45, 5.6052e-45, ..., 5.6052e-45,\n -5.6052e-45, 5.6052e-45],\n [ 5.6052e-45, -5.6052e-45, 5.6052e-45, ..., 5.6052e-45,\n -5.6052e-45, 5.6052e-45],\n [ 5.6052e-45, -5.6052e-45, 5.6052e-45, ..., 5.6052e-45,\n -5.6052e-45, 5.6052e-45],\n ...,\n [ 5.6052e-45, 5.6052e-45, 5.6052e-45, ..., 5.6052e-45,\n 5.6052e-45, 5.6052e-45],\n [ 5.6052e-45, 5.6052e-45, 5.6052e-45, ..., 5.6052e-45,\n 5.6052e-45, 5.6052e-45],\n [-5.6052e-45, -5.6052e-45, -5.6052e-45, ..., -5.6052e-45,\n -5.6052e-45, -5.6052e-45]], device='cuda:0')", "exp_avg_sq": "tensor([[1.0017e-14, 7.8582e-15, 1.4592e-14, ..., 9.4973e-16, 4.5026e-16,\n 7.1545e-14],\n [2.2888e-15, 6.7599e-15, 2.2422e-14, ..., 8.8568e-14, 5.2899e-15,\n 1.1728e-14],\n [1.3947e-14, 5.0148e-16, 7.4101e-15, ..., 4.2796e-14, 4.4201e-16,\n 6.2229e-16],\n ...,\n [1.9419e-11, 3.1606e-10, 4.2962e-10, ..., 7.3530e-10, 3.7532e-10,\n 1.8565e-10],\n [5.7855e-12, 9.5852e-11, 1.3089e-10, ..., 2.1153e-10, 1.1913e-10,\n 6.1779e-11],\n [2.3785e-12, 2.7955e-11, 4.1566e-11, ..., 6.8377e-11, 2.9529e-11,\n 1.4632e-11]], device='cuda:0')" }, "53": { "step": "tensor(5008.)", "exp_avg": "tensor([-5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 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-5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45], device='cuda:0')", "exp_avg_sq": "tensor([7.8881e-14, 6.3152e-14, 1.8977e-13, 2.3054e-14, 9.4219e-14, 1.5038e-13,\n 4.2869e-14, 1.8302e-13, 4.4785e-13, 1.5137e-12, 5.4721e-14, 2.2723e-14,\n 6.3096e-13, 1.7238e-13, 1.1678e-12, 6.8947e-16, 1.1747e-13, 2.6376e-14,\n 3.0992e-13, 8.5476e-13, 7.3031e-14, 1.9072e-16, 3.2698e-15, 1.8174e-14,\n 1.1050e-13, 7.6735e-14, 1.6513e-13, 2.3113e-13, 2.1382e-14, 1.7573e-13,\n 4.8293e-13, 5.5988e-14, 3.3364e-13, 5.2803e-13, 1.1853e-12, 7.2859e-13,\n 1.8720e-13, 1.9919e-13, 3.6595e-13, 8.2147e-14, 1.4604e-14, 2.5379e-13,\n 2.6537e-13, 1.2814e-15, 1.6022e-12, 7.6221e-13, 7.2534e-15, 2.2835e-15,\n 8.6447e-14, 2.7267e-13, 2.9742e-13, 1.8446e-13, 2.1107e-13, 9.5885e-14,\n 8.7379e-13, 3.2639e-13, 4.8503e-14, 9.0398e-13, 6.9266e-15, 1.7224e-13,\n 2.5514e-13, 6.4299e-14, 5.3708e-15, 1.6619e-12, 4.1839e-14, 9.9817e-13,\n 6.1899e-15, 1.0451e-12, 1.9340e-13, 1.9650e-12, 2.3198e-12, 5.6223e-14,\n 5.5957e-13, 1.5452e-12, 1.1014e-12, 1.0241e-13, 2.7244e-12, 1.0432e-12,\n 3.8233e-12, 1.0297e-14, 1.0914e-13, 3.2736e-13, 1.2960e-13, 4.3734e-13,\n 1.3825e-12, 5.0885e-14, 1.0296e-13, 3.3356e-13, 3.9776e-12, 9.5502e-14,\n 7.5428e-13, 5.3684e-15, 3.1300e-12, 3.0092e-12, 5.1618e-13, 4.3518e-13,\n 3.4397e-15, 5.5677e-13, 5.7189e-13, 4.3511e-13, 1.2684e-12, 3.0959e-15,\n 1.6421e-14, 6.4785e-15, 3.3432e-15, 5.2926e-14, 1.3468e-14, 7.7023e-14,\n 3.1301e-13, 9.9282e-13, 1.5244e-13, 7.9610e-14, 4.5644e-14, 2.5114e-13,\n 6.9103e-14, 9.6152e-13, 3.5900e-13, 7.0068e-13, 1.0938e-12, 3.6962e-13,\n 1.4837e-14, 3.5075e-15, 6.9838e-13, 9.4324e-14, 6.4651e-14, 3.7231e-14,\n 1.2123e-12, 1.9558e-13, 3.0082e-14, 1.1104e-12, 4.7382e-14, 1.3405e-13,\n 1.8978e-13, 7.3520e-13, 1.3907e-12, 1.2823e-14, 5.3291e-14, 1.0583e-13,\n 7.5930e-14, 1.9925e-15, 3.1427e-13, 8.7406e-14, 2.5568e-14, 1.1490e-15,\n 2.5335e-13, 4.0270e-13, 6.0054e-13, 2.6327e-13, 4.6681e-14, 1.9170e-13,\n 4.4947e-15, 6.3730e-13, 6.6222e-15, 1.9210e-14, 9.5676e-13, 4.7198e-13,\n 1.5384e-15, 9.4925e-16, 6.3416e-14, 4.2448e-13, 1.8915e-12, 1.1733e-13,\n 1.1364e-13, 6.0120e-14, 1.6646e-13, 1.9633e-13, 1.6038e-13, 3.1349e-13,\n 3.6340e-15, 3.9254e-14, 4.4693e-13, 9.0008e-14, 1.1346e-13, 6.6382e-13,\n 4.1716e-16, 4.7976e-13, 6.2869e-13, 5.7207e-13, 4.8554e-15, 3.1855e-14,\n 3.6443e-14, 2.3160e-13, 5.9311e-16, 1.5005e-14, 1.0812e-13, 1.2628e-12,\n 1.2067e-13, 1.9709e-14, 5.3055e-13, 6.0151e-14, 5.1844e-14, 4.3504e-13,\n 3.0636e-13, 3.6488e-13, 1.9835e-13, 5.6412e-13, 6.8088e-16, 4.1053e-14,\n 3.0615e-13, 3.4820e-13, 5.7890e-15, 8.9699e-13, 4.2852e-14, 5.1847e-13,\n 2.8156e-14, 2.2078e-14, 8.6286e-15, 1.6982e-13, 1.0927e-12, 3.5052e-14,\n 1.7854e-13, 2.8843e-13, 6.9098e-13, 7.3444e-14, 3.8175e-15, 8.2270e-14,\n 4.7991e-14, 4.6594e-14, 2.3304e-14, 5.2066e-14, 1.3280e-14, 3.6116e-12,\n 9.5892e-13, 5.9606e-13, 1.8000e-15, 1.9781e-14, 1.9741e-13, 6.3775e-13,\n 1.8912e-12, 6.0356e-13, 2.1282e-14, 1.1591e-13, 6.7058e-13, 5.8677e-15,\n 3.8415e-13, 2.9286e-13, 7.9222e-13, 1.7309e-13, 1.2496e-13, 2.5783e-14,\n 5.1645e-14, 2.2981e-14, 6.1061e-13, 1.5739e-13, 1.5153e-13, 1.0705e-12,\n 1.8871e-13, 1.8069e-15, 4.1283e-13, 4.1875e-13, 1.7457e-12, 3.5813e-13,\n 5.1397e-13, 2.8108e-13, 4.4070e-16, 2.2262e-13, 1.2059e-27, 2.9533e-29,\n 1.8786e-28, 3.4172e-29, 1.9300e-28, 5.7458e-29, 3.1024e-28, 7.4796e-30,\n 1.6943e-28, 2.6350e-28, 2.4658e-28, 6.3341e-30, 1.6009e-31, 1.3458e-29,\n 7.5691e-29, 5.6567e-30, 1.3143e-28, 1.0067e-29, 1.1986e-28, 2.8843e-29,\n 1.8533e-30, 9.2954e-29, 5.2572e-30, 1.0832e-28, 1.5336e-30, 9.2693e-29,\n 2.0479e-28, 8.8563e-30, 5.3455e-28, 1.8232e-28, 2.9657e-29, 4.2721e-29,\n 5.4718e-29, 3.2744e-28, 3.0566e-29, 2.5194e-29, 1.0241e-29, 5.5503e-29,\n 1.4950e-28, 2.9559e-29, 5.2424e-30, 6.0785e-29, 1.2225e-29, 2.7036e-29,\n 2.5552e-29, 2.3045e-28, 9.4324e-29, 3.1600e-29, 3.3879e-29, 2.1037e-29,\n 4.2117e-29, 1.3955e-28, 1.4076e-28, 1.7641e-28, 7.1848e-29, 1.6523e-29,\n 1.4690e-28, 2.5285e-28, 3.4655e-28, 1.5126e-28, 1.2217e-28, 8.4675e-29,\n 5.8254e-30, 5.2432e-29, 3.9511e-31, 2.0464e-28, 5.4184e-28, 1.6891e-28,\n 4.5634e-30, 2.7119e-29, 1.6489e-28, 5.5138e-29, 8.9425e-29, 5.3785e-30,\n 4.6064e-29, 2.4913e-29, 8.7643e-29, 2.4689e-28, 8.5054e-28, 3.1158e-28,\n 3.3752e-29, 2.5570e-28, 3.0974e-29, 4.1328e-28, 5.0564e-29, 4.6668e-29,\n 4.1546e-28, 1.4445e-28, 7.4850e-29, 9.5776e-30, 1.6729e-29, 9.1067e-29,\n 9.5516e-29, 2.0099e-29, 7.7656e-29, 5.5221e-30, 7.3314e-30, 2.4000e-28,\n 1.2608e-29, 7.2246e-29, 1.0817e-28, 7.5457e-30, 6.5915e-29, 6.2286e-29,\n 2.5000e-29, 3.4303e-29, 2.1408e-29, 3.5735e-28, 1.4515e-28, 2.5846e-29,\n 1.9768e-29, 1.0513e-28, 1.1384e-28, 2.1380e-28, 9.0044e-29, 4.2135e-28,\n 1.1571e-28, 1.5676e-28, 3.6452e-28, 4.4757e-28, 2.7082e-28, 1.4265e-28,\n 1.6829e-28, 8.2413e-29, 1.8870e-29, 1.6904e-29, 9.3875e-28, 1.1028e-30,\n 1.7832e-28, 1.0616e-29, 4.1707e-29, 5.0833e-29, 1.3087e-28, 4.2289e-29,\n 1.1091e-29, 1.2456e-32, 2.8480e-30, 1.6753e-29, 3.7604e-29, 9.7723e-29,\n 9.2936e-30, 2.2078e-28, 8.4587e-28, 9.5487e-29, 2.7320e-28, 3.6403e-29,\n 1.4937e-28, 4.1200e-28, 1.8984e-28, 1.2722e-29, 1.3700e-29, 5.5483e-28,\n 9.5530e-29, 1.0740e-28, 4.9810e-30, 6.8336e-29, 2.3657e-28, 7.7465e-29,\n 4.0592e-31, 1.0684e-28, 3.1446e-29, 3.0608e-29, 1.7375e-28, 1.6061e-29,\n 1.1227e-29, 9.7449e-29, 6.4443e-29, 4.1266e-30, 3.7941e-29, 4.4174e-28,\n 2.6089e-29, 9.0657e-28, 4.6126e-28, 6.4994e-30, 1.5028e-28, 4.7655e-28,\n 4.7156e-28, 1.7825e-29, 2.2368e-29, 3.9071e-29, 2.7428e-29, 1.1799e-28,\n 2.3370e-30, 1.1898e-28, 6.0865e-29, 1.5310e-29, 5.5554e-29, 1.0276e-30,\n 1.9238e-28, 1.1782e-30, 2.3662e-28, 1.3208e-28, 1.4571e-28, 3.3100e-28,\n 3.0172e-28, 1.0937e-29, 6.1652e-28, 5.5999e-29, 1.4270e-28, 3.0816e-29,\n 9.1167e-31, 5.1665e-29, 7.1095e-29, 1.1859e-28, 1.3693e-29, 4.2502e-29,\n 2.7936e-30, 6.4468e-29, 9.6965e-29, 4.2475e-30, 1.9012e-28, 3.6103e-30,\n 1.0901e-28, 4.0638e-29, 2.0797e-28, 9.5189e-29, 5.4217e-30, 4.3073e-29,\n 1.0285e-28, 2.8053e-29, 3.1106e-29, 5.6677e-29, 1.1090e-28, 6.5107e-29,\n 8.5778e-29, 2.4811e-30, 1.1116e-28, 1.1952e-28, 3.1926e-28, 3.2411e-28,\n 8.0598e-30, 5.9329e-29, 8.4628e-30, 5.6572e-29, 1.2108e-30, 1.5605e-29,\n 1.8729e-29, 9.9933e-29, 3.4385e-30, 5.0681e-30, 2.2277e-29, 2.4897e-28,\n 1.7774e-29, 5.1055e-29, 1.3583e-29, 1.7013e-28, 3.5099e-28, 3.6544e-32,\n 3.3407e-28, 2.3512e-28, 3.2173e-28, 1.5142e-30, 5.2955e-29, 3.6289e-28,\n 1.5986e-29, 7.1608e-30, 4.6065e-10, 6.9577e-10, 7.3203e-12, 5.8465e-09,\n 1.5907e-09, 3.9905e-10, 1.0059e-09, 2.8342e-09, 5.6410e-11, 7.0456e-10,\n 4.6601e-09, 1.1058e-11, 3.2767e-10, 1.1874e-09, 5.8934e-09, 1.3348e-10,\n 1.7447e-09, 5.8619e-09, 4.0275e-10, 6.7440e-10, 1.8774e-09, 3.3208e-12,\n 2.4690e-09, 7.5427e-09, 4.7542e-10, 8.2207e-09, 1.7392e-10, 1.3149e-09,\n 1.0810e-09, 4.9524e-09, 1.0573e-09, 1.1469e-11, 1.8648e-10, 1.2138e-11,\n 2.2710e-09, 3.1490e-09, 3.1549e-09, 4.8447e-10, 9.2270e-11, 3.0847e-09,\n 5.8501e-09, 2.9384e-09, 3.4777e-09, 2.7137e-09, 1.1788e-09, 7.7262e-12,\n 2.1123e-09, 6.0154e-10, 2.8835e-09, 2.0549e-09, 1.1501e-08, 2.2368e-09,\n 3.8118e-10, 1.7719e-11, 9.8428e-10, 9.8174e-10, 6.3035e-09, 5.3795e-10,\n 1.5077e-09, 1.5234e-09, 1.5621e-09, 5.9962e-10, 5.7680e-10, 4.2371e-10,\n 1.6382e-10, 1.3198e-11, 3.4268e-09, 1.2779e-09, 1.7378e-09, 2.2539e-09,\n 1.6295e-10, 5.2861e-11, 3.2192e-11, 7.6448e-09, 2.4748e-10, 1.0440e-08,\n 2.0000e-09, 5.7968e-09, 2.6598e-09, 2.6915e-10, 1.6855e-09, 1.9677e-08,\n 6.8846e-10, 4.3500e-09, 1.5803e-10, 5.9127e-09, 2.1364e-09, 1.3540e-10,\n 3.7929e-11, 2.3665e-09, 3.4421e-09, 1.6055e-09, 1.1620e-11, 3.2958e-09,\n 8.4400e-09, 4.1595e-10, 1.7773e-10, 3.4495e-09, 3.2476e-10, 3.2649e-10,\n 4.3707e-10, 2.0542e-09, 5.4998e-11, 2.6963e-10, 7.2852e-10, 7.2741e-09,\n 4.4020e-09, 6.2670e-10, 6.6686e-11, 7.8158e-10, 3.5236e-10, 1.1754e-09,\n 2.1964e-09, 1.2169e-10, 1.6865e-09, 2.3472e-09, 6.2072e-10, 2.9321e-10,\n 4.1434e-09, 8.1221e-11, 2.8912e-10, 1.5894e-08, 2.9077e-09, 1.0040e-08,\n 3.6226e-09, 1.2015e-09, 8.9331e-11, 1.4694e-10, 1.8154e-09, 2.0351e-09,\n 1.1355e-09, 1.6054e-09, 4.0184e-10, 6.7986e-12, 1.7374e-09, 6.4987e-10,\n 9.3318e-10, 4.3033e-09, 4.8560e-10, 9.4932e-11, 7.6813e-13, 3.5586e-09,\n 1.5403e-09, 3.5899e-11, 1.0581e-09, 8.5527e-10, 2.2316e-10, 7.6102e-09,\n 3.2499e-10, 5.8725e-12, 1.0048e-09, 1.1367e-08, 5.9032e-10, 4.8207e-10,\n 4.5078e-09, 1.3521e-10, 5.1234e-11, 8.5184e-10, 7.4108e-13, 1.4445e-09,\n 3.6361e-09, 5.1320e-09, 1.4837e-10, 9.7027e-10, 1.3523e-09, 2.4325e-09,\n 1.1545e-09, 5.6041e-10, 9.3139e-11, 6.0844e-09, 3.7516e-10, 7.8498e-09,\n 4.9659e-09, 3.7467e-10, 1.2649e-09, 3.2852e-10, 2.0277e-11, 4.1618e-10,\n 3.3939e-09, 1.3091e-11, 2.3606e-09, 6.7454e-09, 1.7815e-11, 1.6044e-09,\n 4.4573e-09, 4.1934e-09, 1.1337e-09, 6.5518e-10, 5.1178e-11, 4.3137e-09,\n 7.8639e-11, 1.4605e-09, 6.6196e-09, 6.8517e-09, 1.1926e-09, 2.0088e-09,\n 3.5838e-09, 8.6628e-09, 8.3651e-11, 3.8425e-09, 4.7748e-10, 2.4063e-10,\n 8.9216e-09, 6.1204e-10, 2.8275e-10, 1.0915e-09, 3.5383e-10, 6.4193e-10,\n 9.9752e-10, 3.2701e-10, 1.8837e-09, 1.4131e-09, 4.5348e-09, 3.5161e-10,\n 5.2451e-11, 1.4271e-08, 4.4924e-10, 8.4499e-09, 1.7143e-11, 9.2384e-10,\n 7.2292e-10, 3.2112e-09, 3.6661e-09, 2.1645e-09, 4.6861e-09, 1.6604e-10,\n 2.9713e-09, 3.9374e-10, 1.8311e-08, 1.1854e-10, 4.3243e-10, 1.8001e-09,\n 1.8395e-09, 1.0749e-09, 3.7574e-09, 1.3596e-09, 3.8129e-10, 3.3836e-10,\n 2.2952e-09, 1.3751e-11, 3.3432e-09, 1.2618e-10, 3.1017e-13, 6.2582e-10,\n 3.1831e-09, 4.2028e-11, 8.4115e-10, 8.1981e-11, 1.1073e-10, 7.4330e-10,\n 2.6609e-09, 1.9219e-09, 1.4463e-09, 6.2773e-09, 1.8970e-09, 5.5348e-10],\n device='cuda:0')" }, "54": { "step": "tensor(5008.)", "exp_avg": "tensor([[ 5.6052e-45, 5.6052e-45, -5.6052e-45, ..., 5.6052e-45,\n -5.6052e-45, -5.6052e-45],\n [ 5.6052e-45, 5.6052e-45, -5.6052e-45, ..., 5.6052e-45,\n -5.6052e-45, -5.6052e-45],\n [ 5.6052e-45, 5.6052e-45, -5.6052e-45, ..., 5.6052e-45,\n -5.6052e-45, -5.6052e-45],\n ...,\n [ 5.6052e-45, 5.6052e-45, -5.6052e-45, ..., 5.6052e-45,\n -5.6052e-45, -5.6052e-45],\n [-5.6052e-45, 5.6052e-45, 5.6052e-45, ..., 5.6052e-45,\n 5.6052e-45, 5.6052e-45],\n [ 5.6052e-45, 5.6052e-45, -5.6052e-45, ..., 5.6052e-45,\n -5.6052e-45, -5.6052e-45]], device='cuda:0')", "exp_avg_sq": "tensor([[1.2702e-10, 4.1625e-12, 2.8990e-12, ..., 9.6173e-12, 5.1048e-11,\n 6.6579e-11],\n [6.6957e-11, 3.0669e-12, 2.1936e-12, ..., 8.1221e-12, 2.9007e-11,\n 3.7984e-11],\n [1.2248e-09, 2.7770e-11, 2.4284e-11, ..., 4.0189e-11, 4.8968e-10,\n 6.1500e-10],\n ...,\n [3.8525e-10, 9.6462e-12, 7.0010e-12, ..., 1.7725e-11, 1.5404e-10,\n 2.0452e-10],\n [9.5558e-12, 7.2371e-13, 2.2394e-13, ..., 3.6473e-12, 3.7576e-12,\n 3.5078e-12],\n [2.1599e-11, 1.7497e-12, 1.3623e-12, ..., 5.8641e-12, 1.0624e-11,\n 1.1174e-11]], device='cuda:0')" }, "55": { "step": "tensor(5008.)", "exp_avg": "tensor([-5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n 5.6052e-45, 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5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45], device='cuda:0')", "exp_avg_sq": "tensor([2.2734e-09, 1.2179e-09, 2.1638e-08, 1.1654e-08, 8.7356e-09, 1.1925e-11,\n 2.9041e-09, 3.0143e-09, 5.2079e-09, 5.1978e-10, 9.6106e-09, 1.2649e-10,\n 7.6180e-09, 4.4636e-12, 7.4967e-09, 1.8304e-11, 4.0195e-10, 3.5517e-09,\n 3.3235e-09, 5.6938e-09, 8.1539e-09, 1.2462e-09, 9.5351e-09, 4.3001e-09,\n 2.4014e-08, 6.4869e-09, 5.1684e-09, 1.2054e-09, 4.8196e-09, 1.1611e-08,\n 6.0805e-09, 2.1202e-08, 2.3599e-09, 2.7316e-10, 9.7926e-10, 1.0508e-09,\n 2.6955e-09, 8.9280e-09, 5.5316e-09, 1.1384e-09, 3.0832e-09, 8.6444e-09,\n 9.0908e-11, 3.3556e-09, 5.9787e-09, 2.1044e-09, 2.2044e-09, 6.9534e-09,\n 2.5981e-08, 1.2957e-09, 9.8671e-09, 5.0366e-09, 2.4580e-09, 2.0853e-09,\n 5.4186e-11, 1.9056e-08, 3.5981e-10, 8.0027e-09, 1.9482e-09, 1.8788e-08,\n 1.0672e-08, 7.2747e-09, 2.3001e-10, 3.8754e-09, 1.6653e-09, 1.8335e-09,\n 2.0162e-09, 1.9103e-08, 1.9124e-10, 9.0638e-09, 6.8541e-11, 7.3417e-09,\n 1.2151e-10, 7.5243e-09, 4.5795e-11, 2.0102e-09, 1.6758e-08, 9.5867e-10,\n 7.0868e-09, 1.3461e-08, 6.2308e-09, 4.4051e-09, 5.0777e-09, 7.0036e-09,\n 6.3432e-09, 8.9455e-09, 3.0707e-09, 4.3107e-09, 5.2586e-09, 2.8862e-10,\n 1.5060e-09, 1.8918e-09, 3.3457e-08, 9.1239e-10, 4.4927e-09, 4.6961e-12,\n 2.4087e-10, 7.6529e-11, 1.6932e-11, 5.2065e-10, 3.3444e-08, 2.3802e-10,\n 3.1675e-09, 2.7801e-08, 2.1891e-09, 5.8025e-10, 9.1144e-10, 2.3418e-10,\n 6.4023e-09, 1.5225e-08, 8.6314e-11, 4.4757e-09, 1.7830e-09, 1.7441e-09,\n 5.6885e-09, 1.3426e-09, 3.3304e-10, 1.8830e-10, 4.3342e-09, 3.3787e-09,\n 6.6496e-11, 4.7511e-09, 3.3609e-10, 3.3881e-08, 1.3898e-08, 3.4882e-08,\n 1.2996e-08, 8.1725e-10, 7.2263e-10, 2.0222e-09, 1.5701e-08, 2.5724e-10,\n 1.6144e-09, 7.2453e-09, 2.5374e-11, 1.0173e-10, 4.5093e-09, 1.0612e-08,\n 5.1931e-09, 1.2518e-09, 2.3298e-09, 6.1176e-09, 3.1834e-09, 2.9513e-09,\n 3.2016e-09, 7.0853e-09, 2.6427e-09, 4.0349e-09, 2.8563e-09, 1.8513e-08,\n 1.0303e-11, 2.1214e-09, 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