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Upload weights and configs - David-fully_shared-weighted_sum - Run 20251012_135249

Browse files
weights/David-fully_shared-weighted_sum/20251012_135249/MODEL_SUMMARY.txt CHANGED
@@ -3,24 +3,24 @@
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  ║ DAVID MODEL SUMMARY ║
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  ╠══════════════════════════════════════════════════════════════╣
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  ║ ║
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- ║ 🎯 VALIDATION ACCURACY: 71.77% ║
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  ║ ║
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  ╚══════════════════════════════════════════════════════════════╝
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  MODEL: David-fully_shared-weighted_sum
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  RUN ID: 20251012_135249
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- BEST EPOCH: 7/10
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  ═══════════════════════════════════════════════════════════════
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  📊 PERFORMANCE BREAKDOWN
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- Final Training Accuracy: 72.29%
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- Best Validation Accuracy: 71.77%
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  Per-Scale Accuracies:
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- • Scale 256: 71.44%
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- • Scale 512: 71.58%
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  ═══════════════════════════════════════════════════════════════
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@@ -45,17 +45,18 @@ Epoch | Train Acc | Val Acc | Learning Rate
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  4 | 70.91% | 70.62% | 6.55e-04
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  5 | 71.36% | 70.97% | 5.01e-04
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  6 | 71.84% | 71.46% | 3.46e-04
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- 7 | 72.29% | 71.77% 👑 | 2.07e-04
 
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  ═══════════════════════════════════════════════════════════════
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  📁 FILES
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- Best Model: best_model_acc71.77.safetensors
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  Config: david_config.json
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  Training Cfg: train_config.json
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  History: training_history.json
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  ═══════════════════════════════════════════════════════════════
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- Generated: 2025-10-12 14:04:40
 
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  ║ DAVID MODEL SUMMARY ║
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  ╠══════════════════════════════════════════════════════════════╣
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  ║ ║
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+ ║ 🎯 VALIDATION ACCURACY: 71.78% ║
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  ║ ║
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  ╚══════════════════════════════════════════════════════════════╝
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  MODEL: David-fully_shared-weighted_sum
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  RUN ID: 20251012_135249
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+ BEST EPOCH: 8/10
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  ═══════════════════════════════════════════════════════════════
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  📊 PERFORMANCE BREAKDOWN
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+ Final Training Accuracy: 72.75%
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+ Best Validation Accuracy: 71.78%
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  Per-Scale Accuracies:
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+ • Scale 256: 71.49%
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+ • Scale 512: 71.69%
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  ═══════════════════════════════════════════════════════════════
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  4 | 70.91% | 70.62% | 6.55e-04
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  5 | 71.36% | 70.97% | 5.01e-04
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  6 | 71.84% | 71.46% | 3.46e-04
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+ 7 | 72.29% | 71.77% | 2.07e-04
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+ 8 | 72.75% | 71.78% 👑 | 9.64e-05
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  ═══════════════════════════════════════════════════════════════
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  📁 FILES
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+ Best Model: best_model_acc71.78.safetensors
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  Config: david_config.json
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  Training Cfg: train_config.json
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  History: training_history.json
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  ═══════════════════════════════════════════════════════════════
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+ Generated: 2025-10-12 14:06:21
weights/David-fully_shared-weighted_sum/20251012_135249/best_model_acc71.78.safetensors ADDED
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weights/David-fully_shared-weighted_sum/20251012_135249/best_model_acc71.78_metadata.json ADDED
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+ {
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+ "epoch": 7,
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+ "optimizer_state_dict": {
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+ "step": "tensor(10016.)",
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+ "exp_avg": "tensor([[ 1.5062e-04, 1.2931e-03, 6.3652e-04, ..., -6.9315e-04,\n 2.6788e-04, -1.9202e-04],\n [ 1.3724e-05, -1.1480e-03, -1.8676e-03, ..., 5.8825e-04,\n 8.9245e-04, -9.5413e-04],\n [-3.6894e-05, 1.0142e-04, 1.5780e-03, ..., 1.0864e-03,\n 6.7905e-04, 2.2829e-04],\n ...,\n [-6.2483e-04, 1.3959e-04, 4.2794e-05, ..., -3.8634e-04,\n 2.0065e-04, 2.4963e-04],\n [ 1.0356e-04, -1.9847e-03, 1.0875e-03, ..., 6.0027e-04,\n -5.4806e-04, 3.6143e-04],\n [-2.6487e-04, 4.8516e-05, 1.0238e-03, ..., 4.3398e-04,\n 1.9616e-04, 1.3210e-04]], device='cuda:0')",
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+ "exp_avg_sq": "tensor([[6.2359e-06, 3.2165e-05, 1.4842e-05, ..., 6.6419e-06, 3.0001e-06,\n 8.6127e-06],\n [5.0889e-06, 2.2290e-05, 1.7448e-05, ..., 7.6721e-06, 2.4160e-06,\n 8.9631e-06],\n [9.8949e-06, 6.1075e-05, 2.0084e-05, ..., 6.5694e-06, 3.1082e-06,\n 3.9574e-06],\n ...,\n [5.9008e-06, 2.5729e-05, 1.4348e-05, ..., 3.3453e-06, 1.7197e-06,\n 2.5745e-06],\n [7.1457e-06, 4.2581e-05, 1.4950e-05, ..., 6.2363e-06, 3.6198e-06,\n 5.7770e-06],\n [4.0019e-06, 4.6648e-05, 1.1256e-05, ..., 2.9904e-06, 1.8174e-06,\n 2.0343e-06]], device='cuda:0')"
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+ },
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+ "2": {
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+ "step": "tensor(10016.)",
17
+ "exp_avg": "tensor([ 2.8375e-03, 1.3535e-03, -2.7553e-03, 5.6456e-03, 5.4468e-03,\n -5.7977e-03, 2.3974e-03, 5.5486e-04, -7.3389e-03, -6.8782e-03,\n -3.2585e-03, 7.0032e-04, -6.4685e-03, 3.4179e-04, 1.8669e-03,\n -3.1449e-03, -7.5391e-03, -1.9407e-03, 6.5652e-03, -1.2108e-02,\n 6.1811e-03, -6.4812e-03, 3.6845e-03, 1.5596e-03, 6.1364e-03,\n 1.4628e-02, 1.8386e-03, 7.5160e-03, -5.4505e-03, -4.7077e-03,\n 5.4789e-03, 2.9645e-04, 6.0152e-03, 2.3659e-03, 3.4069e-03,\n -7.5485e-03, -3.5640e-03, 1.4986e-03, 1.1039e-03, -3.4852e-03,\n 7.7407e-04, 1.7118e-03, 6.7085e-04, 4.8313e-03, -4.4359e-03,\n 7.7368e-03, -1.5355e-03, -1.0577e-02, 7.5887e-03, 8.7730e-04,\n -1.6491e-03, 2.6842e-03, -4.4823e-03, 1.2027e-03, 1.6263e-03,\n -1.8620e-03, 5.2005e-03, 1.4716e-03, -2.6815e-04, 1.3967e-03,\n -2.2067e-03, -2.2742e-03, 4.1969e-03, -3.3412e-03, -4.3087e-03,\n -2.2245e-03, -2.5782e-03, 4.0586e-03, 5.0051e-04, -2.2524e-03,\n 8.9200e-04, -2.4320e-03, -3.6181e-03, 2.5917e-03, 5.3974e-03,\n 3.0984e-03, 3.4244e-03, 1.4284e-03, 1.9389e-03, 4.1401e-04,\n -1.9051e-03, -2.4263e-03, 3.4778e-04, 1.4245e-03, 5.4901e-03,\n -7.4263e-03, -7.9353e-03, 4.0396e-03, 2.8205e-04, 3.3324e-03,\n 5.5535e-03, 9.8808e-03, -2.7190e-03, 1.3214e-03, 3.8150e-05,\n -4.8397e-04, -2.3818e-03, 1.7999e-03, -2.7165e-03, 2.5373e-03,\n 6.4745e-04, 3.6487e-04, 3.9363e-05, 3.6247e-04, 1.0678e-03,\n -3.6526e-03, 4.1558e-03, 2.4627e-04, 1.8589e-04, 1.7079e-03,\n -1.7780e-03, -1.4744e-03, 6.7903e-03, 3.7442e-04, -1.4284e-03,\n -7.9676e-04, -2.1426e-04, 8.5350e-05, -1.6671e-03, 8.5666e-06,\n -4.3156e-03, 2.7628e-04, -1.8832e-03, 9.2824e-04, -2.0953e-03,\n -8.9036e-04, -2.7263e-05, 2.4268e-03, -4.1519e-05, -2.7317e-03,\n 1.7068e-03, -7.0210e-04, -2.4485e-03, 1.9202e-03, 2.8979e-03,\n 2.1870e-04, -3.2559e-03, -2.8578e-03, -2.1180e-03, 6.4829e-03,\n -7.7009e-03, 9.0784e-04, -1.3987e-03, -1.2616e-03, -1.0408e-03,\n 1.3535e-03, 2.1444e-03, -3.8278e-04, -3.6925e-03, -6.3666e-04,\n 1.7251e-03, -6.0147e-03, -7.8412e-04, -1.5654e-02, -7.1471e-06,\n 3.6217e-03, -5.4875e-03, 6.7620e-03, 1.7798e-02, -1.4701e-03,\n -2.8241e-03, -1.6570e-03, 8.9415e-05, 1.1685e-02, -1.3950e-03,\n -3.7693e-03, 1.8088e-03, -8.9242e-03, -2.8544e-03, 1.0115e-03,\n 4.1357e-04, -4.1563e-03, 1.2584e-03, 2.0942e-03, 2.5833e-03,\n -7.2251e-03, -3.2244e-04, -1.8306e-03, 1.0626e-03, 3.4652e-03,\n 2.8465e-04, -3.6441e-03, -1.8611e-02, -1.2466e-02, -1.5082e-03,\n -1.3764e-03, -5.3893e-04, 2.4184e-04, 2.6332e-03, -1.0894e-03,\n 1.4082e-02, 2.0549e-03, 3.2536e-03, 2.4388e-03, -1.4418e-03,\n -2.6941e-03, -1.6621e-04, -5.6829e-03, 9.0940e-04, -2.7055e-03,\n -4.0366e-03, 2.7160e-03, -5.7523e-03, 3.2785e-03, 3.8232e-03,\n -7.2395e-04, 7.9369e-04, -8.3360e-04, 2.3598e-03, -5.2823e-04,\n -2.1796e-03, 2.7209e-04, -2.7490e-03, 5.1666e-04, -3.4299e-03,\n 7.3466e-03, -1.8769e-03, -7.5408e-04, 9.2410e-04, 4.2547e-03,\n 2.7181e-03, -3.4684e-03, 1.0064e-03, 8.2306e-03, 7.5716e-04,\n -1.6072e-03, 5.9790e-03, 2.5399e-03, 5.1409e-03, -6.2098e-03,\n 1.7577e-04, -3.4952e-03, 3.5963e-04, 9.0853e-04, -2.2026e-04,\n 8.2980e-03, 3.7933e-03, 3.3098e-03, -2.7057e-03, -4.2211e-03,\n -4.5142e-04, -8.2566e-03, -2.7402e-03, -1.4193e-03, 8.8760e-03,\n 1.7131e-03, -6.3697e-03, 9.2674e-04, -2.8642e-03, 2.6942e-03,\n -3.1983e-03, 2.3982e-03, 1.2146e-03, 2.7355e-03, 3.4800e-03,\n 4.3552e-04, 2.2231e-03, 1.3326e-03, 7.0464e-03, -2.2687e-03,\n -1.7646e-05, 2.4891e-03, 8.8266e-04, -8.4387e-03, 4.2006e-03,\n -1.8133e-03, -9.1806e-04, 2.2417e-03, 7.6526e-03, 1.5821e-03,\n 3.0004e-03, 9.6661e-03, 4.2268e-03, -6.3831e-04, 5.4751e-03,\n -6.4145e-03, 9.9649e-03, 3.8888e-03, -2.0356e-03, 3.2374e-03,\n -1.1937e-03, 1.0583e-02, -1.3244e-02, -1.2187e-03, -4.1651e-03,\n 1.2996e-03, -1.4837e-03, 2.9643e-03, 5.7382e-05, -5.4769e-03,\n -3.2191e-05, -2.3993e-03, -5.4492e-03, 4.5744e-04, -9.3095e-04,\n -5.6859e-03, 1.9633e-03, -2.5649e-03, 4.5103e-03, 1.1926e-03,\n 7.7801e-04, -4.2462e-04, 1.3188e-03, 6.3107e-03, -9.4734e-04,\n -5.1496e-04, -3.2808e-03, 1.4573e-03, -1.2031e-03, 1.5710e-03,\n -1.1633e-03, 3.2090e-04, -7.6562e-03, 8.0390e-04, 9.9254e-04,\n 2.0153e-04, 3.6737e-04, 5.4507e-03, 2.2796e-03, 2.0687e-03,\n -1.9482e-03, 9.5068e-03, -3.7121e-03, 3.5014e-04, 2.8683e-03,\n 4.8721e-04, 1.6401e-03, 4.1363e-03, 1.0494e-03, 1.5750e-03,\n 1.5000e-03, 2.5234e-03, -1.6978e-03, 4.3632e-03, -4.6520e-03,\n 4.8418e-03, 4.0681e-03, 9.2853e-03, -2.4757e-03, -6.3419e-03,\n 5.0406e-03, 4.4078e-03, -3.0300e-03, -5.0548e-03, -4.8064e-03,\n 1.8752e-03, -3.5824e-03, -6.5158e-04, -4.2511e-03, 9.5766e-04,\n -3.0832e-03, 2.5510e-04, 1.6071e-03, -1.6971e-03, 2.9262e-03,\n -4.4548e-03, -2.2710e-05, 2.5480e-03, -1.5848e-03, -7.6709e-04,\n -5.0292e-03, 2.6395e-03, -1.8570e-03, -3.2446e-05, 1.4183e-03,\n 4.7543e-03, -2.5099e-03, 5.6597e-03, 2.2245e-03, 1.1982e-02,\n 3.2650e-03, -1.9213e-03, 1.7624e-03, -1.9025e-04, 3.1113e-06,\n -2.5662e-02, -2.1004e-04, -1.2045e-03, 8.0549e-03, 3.8763e-04,\n 1.7940e-04, -6.1034e-04, 3.9993e-03, -3.4045e-03, 3.5552e-03,\n -3.2230e-03, 5.1449e-03, 5.8752e-03, 5.3260e-03, 1.3017e-02,\n 3.4083e-03, 1.1350e-03, 4.3996e-03, 4.9143e-03, -8.4623e-03,\n 1.3684e-03, -7.8345e-03, -7.4061e-03, -1.9650e-03, 5.9628e-03,\n 9.8297e-04, -2.2188e-03, -1.0886e-03, 9.3098e-04, -3.0553e-04,\n 1.1958e-03, -3.1205e-03, 4.6010e-05, -5.7613e-04, 7.1839e-03,\n 1.7963e-03, -8.9153e-04, -1.0528e-02, -2.1044e-03, -1.5039e-03,\n 8.3042e-03, -3.0155e-03, 4.3602e-03, -2.2865e-03, 1.1840e-02,\n -3.3151e-03, 4.4994e-03, -1.1146e-03, -2.8625e-03, -2.0248e-03,\n -4.7229e-03, 3.2686e-03, -1.5146e-03, -1.2495e-02, 4.7933e-03,\n 6.0934e-04, -4.1336e-03, 2.7984e-03, 4.1591e-04, -1.7445e-03,\n -4.4389e-04, 1.2182e-03, 2.0789e-03, 3.5222e-03, 3.2377e-03,\n 1.5178e-03, -1.5717e-03, -1.3078e-03, 6.4786e-04, -1.8280e-03,\n -4.6808e-03, -2.7392e-03, -1.3315e-03, 3.3610e-04, -8.6495e-03,\n 4.1521e-03, -4.6529e-03, 1.6042e-03, -5.1368e-03, -2.1217e-04,\n -2.4820e-03, 3.1142e-03, -1.9866e-02, -4.5577e-03, 8.8114e-03,\n 1.5984e-03, -1.3593e-03, -2.8528e-03, -2.3805e-04, -4.3742e-03,\n -4.9108e-03, 7.2395e-03, -1.5977e-03, -5.5164e-04, -3.0485e-03,\n -4.1268e-03, 1.0960e-02, -2.3840e-03, 1.4461e-03, 6.0976e-03,\n -1.1387e-02, 3.1417e-03, -3.3297e-03, -4.3982e-03, -2.0041e-03,\n 1.4531e-03, -1.3553e-04, 2.6576e-03, -2.9723e-03, -9.5282e-04,\n -2.1869e-03, 1.0056e-03, -9.7822e-04, -1.2272e-03, -3.6942e-05,\n -5.4432e-02, -3.1969e-03, -2.6840e-04, 3.7779e-05, -5.9333e-03,\n -3.5353e-03, 3.5704e-05, -3.1499e-03, -1.0425e-03, 1.1524e-02,\n -5.4188e-03, 4.7800e-03, 5.0317e-03, 4.5259e-03, -8.5412e-03,\n -1.1938e-02, 5.2772e-03, 1.0852e-03, 6.7676e-03, -1.9216e-03,\n 2.7224e-03, 3.4042e-06], device='cuda:0')",
18
+ "exp_avg_sq": "tensor([2.1555e-04, 7.7813e-05, 1.8064e-04, 3.0132e-04, 7.6607e-05, 1.4804e-04,\n 1.1160e-04, 1.6945e-04, 7.4415e-05, 1.7897e-04, 1.4430e-04, 2.2701e-04,\n 7.2679e-05, 1.4158e-04, 5.9421e-05, 8.2895e-05, 2.4154e-03, 1.9134e-04,\n 1.5572e-04, 2.1034e-04, 3.1151e-04, 2.9329e-04, 1.9836e-04, 1.1860e-04,\n 1.5129e-04, 3.5619e-04, 2.2950e-04, 1.5712e-04, 6.3319e-05, 4.1161e-04,\n 1.9249e-04, 9.8454e-05, 2.8807e-04, 7.0494e-05, 4.0732e-04, 3.2331e-04,\n 2.6150e-04, 2.7725e-04, 6.8590e-05, 1.1971e-04, 1.1649e-04, 1.2766e-04,\n 5.8057e-05, 6.5707e-05, 1.2951e-04, 8.7643e-05, 2.8909e-04, 2.2015e-04,\n 3.6886e-04, 1.2738e-04, 2.6121e-04, 3.0625e-04, 9.4860e-05, 2.4026e-04,\n 1.3608e-04, 2.2361e-04, 4.3284e-04, 1.7529e-04, 1.6642e-04, 1.9031e-04,\n 2.7958e-04, 5.8701e-05, 1.5191e-04, 3.2066e-04, 6.0217e-04, 1.6972e-04,\n 2.0954e-04, 1.6809e-04, 5.3898e-05, 2.0483e-04, 5.9105e-05, 1.0472e-04,\n 7.0505e-05, 1.1347e-04, 1.3403e-04, 1.1247e-04, 1.5436e-04, 1.3489e-04,\n 2.4768e-04, 1.5511e-04, 1.0735e-04, 7.4151e-05, 1.2170e-04, 1.5923e-04,\n 1.4368e-04, 2.3768e-04, 2.4812e-03, 1.0645e-04, 7.1618e-05, 1.9742e-04,\n 1.8443e-04, 2.5653e-04, 2.4507e-04, 8.9304e-05, 9.4622e-05, 1.0056e-04,\n 1.3419e-04, 1.0513e-04, 1.2605e-04, 7.5211e-05, 7.3567e-05, 7.4875e-05,\n 1.0064e-04, 2.7057e-04, 2.8412e-04, 1.8315e-04, 6.4606e-05, 2.7980e-04,\n 1.0559e-04, 7.5359e-05, 4.6332e-04, 6.5244e-05, 1.5186e-04, 8.0921e-05,\n 3.9614e-04, 9.9605e-05, 7.5494e-05, 1.0997e-04, 2.1248e-04, 1.2664e-04,\n 1.0550e-04, 2.2367e-04, 9.9130e-05, 1.1113e-04, 1.1531e-04, 1.0632e-04,\n 7.8732e-05, 1.8702e-04, 8.4748e-05, 3.2080e-04, 8.2464e-05, 1.3077e-04,\n 3.5948e-04, 2.7194e-04, 1.4870e-04, 2.3365e-04, 8.1653e-05, 2.4939e-04,\n 1.1436e-04, 1.0761e-04, 2.4647e-04, 2.1444e-04, 1.2388e-04, 1.4816e-04,\n 1.0713e-04, 2.1566e-04, 1.4257e-04, 1.7037e-04, 1.1245e-04, 1.2059e-04,\n 6.7442e-05, 2.1445e-04, 1.4147e-04, 2.8212e-04, 1.1426e-04, 2.4104e-04,\n 1.4538e-04, 1.4252e-04, 6.1039e-04, 5.4014e-05, 2.6926e-04, 1.3527e-04,\n 1.8474e-04, 1.3757e-04, 1.5485e-04, 9.2733e-05, 3.9937e-04, 1.9585e-04,\n 6.9640e-05, 1.2060e-04, 3.6087e-04, 1.3531e-04, 4.2862e-04, 1.0752e-04,\n 1.2040e-04, 1.5481e-04, 1.2437e-04, 1.9867e-04, 1.1680e-04, 7.8240e-05,\n 1.2133e-04, 1.2943e-04, 6.0191e-04, 1.7152e-04, 1.2441e-04, 1.7956e-04,\n 7.3509e-04, 4.5497e-04, 8.4735e-05, 2.1298e-04, 4.0266e-04, 3.9716e-04,\n 1.7718e-04, 1.1842e-04, 1.3510e-04, 1.2169e-04, 6.6433e-05, 1.3985e-04,\n 6.2430e-05, 1.1427e-04, 3.1047e-04, 2.3342e-04, 8.2727e-05, 8.1699e-05,\n 1.2917e-04, 2.9346e-04, 4.0855e-04, 2.0626e-04, 1.8057e-04, 1.1494e-04,\n 1.6015e-04, 1.4048e-04, 1.3986e-04, 1.8875e-04, 3.2352e-04, 1.5949e-04,\n 2.0360e-04, 7.9722e-05, 1.3077e-04, 1.4089e-04, 1.6862e-04, 8.2735e-05,\n 7.0977e-05, 1.3698e-04, 2.6248e-04, 1.1638e-04, 2.2271e-04, 7.5025e-05,\n 4.2461e-04, 2.0224e-04, 8.9539e-05, 1.4861e-04, 7.3316e-05, 1.4185e-04,\n 1.3565e-04, 1.2873e-04, 1.7597e-04, 1.7017e-04, 1.8601e-04, 1.2940e-04,\n 7.2466e-05, 1.5809e-04, 1.5586e-04, 1.3730e-04, 2.9462e-04, 8.8861e-05,\n 1.3039e-04, 5.8148e-05, 2.0440e-04, 1.7340e-04, 1.5535e-04, 1.7691e-04,\n 3.8015e-04, 1.2268e-04, 1.1648e-04, 8.3980e-05, 3.2477e-04, 1.2133e-04,\n 1.8369e-04, 1.6452e-04, 1.0357e-04, 1.0449e-04, 2.4217e-04, 3.3317e-04,\n 6.7364e-04, 2.3208e-04, 1.4507e-04, 1.2203e-04, 2.0030e-04, 1.0926e-04,\n 2.5190e-04, 1.6264e-04, 6.9407e-05, 6.3747e-05, 8.7643e-05, 3.3947e-04,\n 7.8014e-04, 2.1751e-04, 1.3827e-04, 8.7738e-05, 3.7582e-05, 1.5715e-04,\n 1.3173e-04, 1.9397e-04, 1.8367e-04, 8.9917e-05, 7.9770e-04, 8.5582e-05,\n 1.1700e-04, 2.4905e-04, 2.4242e-04, 1.2327e-04, 1.6986e-04, 1.2040e-04,\n 1.2751e-04, 1.3888e-04, 5.5408e-05, 1.7745e-04, 7.4512e-05, 1.1206e-04,\n 3.0559e-04, 1.2102e-04, 1.0945e-04, 3.1121e-04, 1.0501e-04, 1.6946e-04,\n 1.5275e-04, 1.1991e-04, 1.2894e-04, 1.0661e-04, 1.1708e-04, 7.4243e-05,\n 1.3348e-04, 9.3691e-05, 3.8709e-04, 1.9613e-04, 8.5138e-05, 2.1727e-04,\n 8.8291e-05, 3.2449e-04, 6.7651e-05, 2.5943e-04, 1.0345e-04, 1.4483e-04,\n 9.2775e-05, 8.2599e-05, 1.7650e-04, 1.2433e-04, 7.3711e-05, 1.4014e-04,\n 1.2488e-04, 2.4296e-04, 1.1013e-04, 1.4872e-04, 5.2232e-04, 2.9588e-04,\n 1.3659e-04, 3.4872e-04, 1.4100e-04, 9.0251e-05, 1.8604e-04, 2.3255e-04,\n 1.1327e-04, 1.3999e-04, 1.0834e-04, 1.0410e-04, 1.2695e-04, 8.5889e-05,\n 3.2029e-04, 5.6676e-05, 2.1503e-04, 8.7341e-05, 5.7250e-05, 9.4624e-05,\n 1.7058e-04, 9.8517e-05, 4.3194e-05, 8.6369e-05, 4.8434e-04, 9.5384e-05,\n 1.0781e-04, 5.4793e-05, 1.1030e-04, 2.0897e-04, 7.3940e-05, 1.2313e-04,\n 1.2335e-04, 1.1244e-04, 1.6023e-04, 1.8729e-04, 2.8119e-04, 1.1970e-04,\n 9.6049e-05, 1.3218e-04, 1.0065e-04, 2.3341e-04, 8.0732e-05, 1.4550e-04,\n 1.1352e-04, 2.1741e-04, 6.3054e-05, 1.0441e-04, 1.8373e-04, 1.7753e-04,\n 9.0500e-05, 8.6497e-05, 2.1344e-04, 6.1957e-05, 5.5859e-05, 7.5331e-04,\n 1.3015e-04, 8.1969e-05, 2.2020e-04, 1.3554e-04, 2.7500e-04, 2.1112e-04,\n 2.9783e-04, 2.7221e-04, 1.6467e-04, 2.5260e-04, 2.4865e-04, 9.9374e-05,\n 6.9804e-05, 6.3802e-05, 7.9163e-05, 8.8425e-05, 1.4247e-04, 1.4628e-04,\n 9.6777e-05, 4.4151e-04, 1.2857e-04, 5.9857e-05, 1.4777e-04, 4.3918e-04,\n 6.7640e-05, 2.6557e-04, 9.6918e-05, 1.2541e-04, 9.3015e-05, 3.1786e-04,\n 2.1952e-04, 1.2709e-04, 9.9872e-05, 1.4445e-04, 6.4689e-05, 1.1371e-04,\n 1.2351e-04, 1.0004e-04, 2.3855e-04, 2.2650e-04, 6.5044e-05, 4.2228e-04,\n 2.1758e-04, 9.3007e-05, 1.7446e-04, 1.4474e-04, 6.4128e-05, 1.4374e-04,\n 1.3776e-04, 8.7228e-05, 1.3088e-04, 1.4899e-04, 1.1363e-04, 3.1232e-04,\n 1.6978e-04, 7.6281e-05, 8.5188e-05, 2.7622e-04, 2.5461e-04, 2.4154e-04,\n 4.9377e-04, 1.2306e-04, 6.6411e-05, 2.5915e-04, 2.3786e-04, 1.0386e-04,\n 5.4954e-05, 6.7607e-04, 1.4427e-04, 1.5479e-04, 1.9354e-04, 1.0021e-04,\n 2.3526e-04, 6.6357e-05, 9.5213e-04, 2.1014e-04, 1.2436e-04, 7.1788e-05,\n 1.7081e-04, 7.6414e-05, 1.0769e-04, 2.7099e-04, 9.1635e-05, 1.6768e-04,\n 2.7000e-04, 2.2953e-04, 1.4725e-04, 2.3701e-04, 3.8649e-05, 1.2715e-04,\n 8.7632e-05, 4.5906e-05, 2.0277e-04, 1.6722e-04, 1.0800e-04, 2.8050e-04,\n 8.6112e-05, 1.8254e-04, 1.1385e-04, 1.1971e-04, 2.1488e-01, 8.2514e-05,\n 1.7189e-04, 1.3103e-04, 1.2689e-04, 2.7143e-04, 2.5005e-04, 1.4445e-04,\n 1.0616e-04, 2.0308e-04, 9.9873e-05, 1.3417e-04, 9.9695e-05, 1.2627e-04,\n 1.5777e-04, 1.9388e-04, 2.4491e-04, 1.9967e-04, 1.9633e-04, 1.9357e-04,\n 2.1022e-04, 1.5135e-04], device='cuda:0')"
19
+ },
20
+ "3": {
21
+ "step": "tensor(10016.)",
22
+ "exp_avg": "tensor([ 2.4691e-03, -2.9514e-04, -2.6392e-03, 4.4644e-03, 5.3308e-03,\n -4.3606e-03, 1.6087e-03, 1.0612e-03, -7.9424e-03, -6.2561e-03,\n -2.0579e-03, 1.2298e-03, -7.5554e-03, 4.1900e-04, 1.7547e-03,\n -2.8908e-03, -2.9117e-03, -2.3918e-03, 7.1253e-03, -9.5555e-03,\n 3.8632e-03, -5.1426e-03, 4.0989e-03, 2.0273e-03, 7.2691e-03,\n 1.2780e-02, 1.7304e-03, 6.5428e-03, -6.8895e-03, -2.6203e-03,\n 4.4531e-03, 3.2538e-04, 5.5383e-03, 3.4521e-03, 3.2456e-03,\n -4.7717e-03, -2.1051e-03, 1.6186e-03, 1.8775e-03, -3.0894e-03,\n 1.3760e-03, 2.5592e-03, 1.3056e-03, 5.4349e-03, -4.9119e-03,\n 1.0809e-02, -2.0732e-03, -1.1279e-02, 5.3524e-03, 1.3967e-03,\n -1.5785e-03, 2.1301e-03, -4.7680e-03, 1.0304e-03, 2.8816e-03,\n -2.4907e-03, 3.7129e-03, 1.6576e-03, -1.3117e-03, 1.0712e-03,\n -1.9386e-03, -4.4981e-03, 4.8922e-03, -1.9491e-03, -3.2388e-03,\n -1.4366e-03, -1.4577e-03, 4.6205e-03, 1.2414e-03, -1.9656e-03,\n 2.5614e-04, -2.9641e-03, -5.5398e-03, 2.4683e-03, 5.2460e-03,\n 4.7459e-03, 4.5173e-03, 3.4278e-03, 2.3529e-03, 3.9431e-04,\n -3.3936e-03, -4.3726e-03, -2.4702e-04, 1.6025e-03, 7.3523e-03,\n -6.5353e-03, -2.6289e-03, 7.1785e-03, 9.4103e-04, 2.9865e-03,\n 5.3276e-03, 6.9689e-03, -2.5779e-03, -4.8816e-04, 1.4112e-03,\n -1.1196e-03, -2.5012e-03, 5.9378e-04, -3.3199e-03, 2.9446e-03,\n -5.5374e-04, 8.0771e-04, -8.8576e-05, 5.2237e-04, 1.3004e-03,\n -3.9151e-03, 4.4798e-03, 1.5151e-04, 2.9105e-04, 1.9246e-03,\n -6.6297e-04, -2.4437e-03, 5.2591e-03, -2.4867e-04, -3.0074e-04,\n -1.5791e-03, 5.0484e-05, 3.7855e-04, -1.2120e-03, -1.8724e-03,\n -2.2496e-03, 1.8015e-03, -1.0541e-03, -2.5969e-05, -3.4359e-03,\n -2.1873e-03, -1.8676e-04, 1.9479e-03, -2.5667e-05, -2.3950e-03,\n 1.4069e-03, -6.6337e-04, -1.2886e-03, 1.7625e-03, 3.7846e-03,\n 2.0550e-04, -2.8236e-03, -2.0449e-03, -1.7523e-03, 7.5064e-03,\n -8.5499e-03, 1.1664e-03, -2.3224e-03, -1.7618e-03, -3.2797e-04,\n -3.4352e-04, 2.3878e-03, 8.9587e-04, -3.6537e-03, -6.3105e-05,\n 1.8949e-03, -4.6285e-03, -4.6641e-04, -1.3612e-02, -9.3565e-05,\n 2.3400e-03, -6.0487e-03, 6.8525e-03, 1.1451e-02, -2.2177e-03,\n -7.7852e-04, -3.1366e-03, -4.0760e-04, 9.4585e-03, -6.7824e-04,\n -3.4302e-03, 2.9195e-04, -6.5887e-03, -3.1354e-03, 2.3275e-03,\n 2.4501e-03, -4.7167e-03, 2.4752e-03, 1.8401e-03, 2.4988e-03,\n -5.8736e-03, -3.5219e-04, -1.0542e-03, 3.9388e-04, 3.9392e-03,\n 8.4775e-05, -6.1759e-03, -9.9912e-03, -1.1083e-02, -2.0244e-03,\n -9.2312e-04, 3.0346e-04, 5.0851e-04, 2.6659e-03, -1.3440e-03,\n 8.3344e-03, 1.1656e-03, 3.4425e-03, 1.2719e-03, -6.6295e-04,\n -3.0274e-03, -5.8957e-04, -6.6025e-03, 2.0108e-03, -4.2595e-03,\n -2.7857e-03, 7.5925e-04, -5.7584e-03, 1.9580e-03, 4.3144e-03,\n -1.8123e-03, 9.2187e-04, -7.9940e-04, 2.9230e-03, -1.3135e-04,\n -1.7749e-03, -1.7503e-03, -2.9588e-03, 1.5319e-03, -2.9962e-03,\n 5.6809e-03, -2.4631e-03, -1.7504e-03, 1.5274e-03, 3.7258e-03,\n 3.3931e-03, -6.0933e-03, 2.0080e-03, 9.1082e-03, -2.2627e-04,\n -2.9904e-03, 4.4553e-03, 4.3895e-03, 3.8855e-03, -7.9389e-03,\n 2.0327e-04, -3.4505e-03, 1.5668e-04, 1.0694e-03, -1.5325e-03,\n 9.5212e-03, 6.9908e-04, 5.4245e-03, -3.3552e-03, -4.2376e-03,\n -4.9208e-04, -7.1480e-03, -2.6718e-03, -2.3140e-03, 5.9987e-03,\n 3.1996e-03, -6.0167e-03, 4.2308e-04, -8.3146e-04, 3.4867e-03,\n -3.0494e-03, 2.3664e-03, 1.0661e-03, 5.4049e-03, 4.1317e-03,\n -1.2461e-03, 1.4739e-03, 3.2664e-03, 4.3852e-03, -2.2834e-03,\n 4.3761e-04, 2.9096e-03, 1.1896e-03, -6.6621e-03, 3.6056e-03,\n -3.2671e-03, -5.2463e-04, 1.7795e-03, 6.2690e-03, 2.3607e-03,\n 2.1578e-03, 7.4030e-03, 5.7075e-03, 8.9907e-04, 6.6776e-03,\n -6.4009e-03, 4.0743e-03, 4.7609e-03, -2.2378e-03, 3.5976e-03,\n -1.9638e-03, 1.0550e-02, -1.3918e-02, -1.1644e-03, -4.3393e-03,\n 1.4365e-03, -1.0007e-03, 2.6189e-03, -9.3278e-04, -4.7678e-03,\n 2.0455e-04, -3.8723e-03, -5.9016e-03, 7.4967e-04, -1.8997e-03,\n -7.1631e-03, 5.0112e-03, -3.4651e-03, 5.7883e-03, 2.0015e-03,\n 1.4629e-03, -5.7798e-04, 1.2023e-03, 5.1076e-03, 5.1328e-04,\n -2.0635e-04, -3.6813e-03, 1.8478e-03, -8.4209e-04, 1.2050e-03,\n -1.6814e-03, 5.2562e-04, -6.7022e-03, 1.3390e-03, 9.1385e-04,\n 2.3576e-04, 1.0638e-04, 6.4684e-03, 2.4054e-03, 3.1940e-03,\n -8.6030e-04, 8.6705e-03, -4.6967e-03, 1.4521e-04, 4.3661e-03,\n 5.1538e-04, 1.7605e-03, 4.5133e-03, 1.6558e-04, 3.0574e-03,\n 1.4408e-03, 2.2100e-03, -2.0461e-03, 3.7392e-03, -1.8770e-03,\n 3.3404e-03, 4.0822e-03, 8.2738e-03, -3.2735e-03, -7.3730e-03,\n 4.9037e-03, 4.1965e-03, -3.6636e-03, -4.9123e-03, -4.0869e-03,\n 2.0677e-03, -4.5601e-03, -8.0863e-04, -4.4502e-03, 1.2276e-03,\n -3.5251e-03, 2.3010e-04, 2.6693e-03, -1.6933e-03, 1.9335e-03,\n -5.4525e-03, -8.5217e-04, 2.7826e-03, -8.5711e-04, -1.0246e-03,\n -5.0364e-03, 4.0818e-03, -1.2126e-03, -1.4939e-04, 2.6339e-03,\n 4.6168e-03, -2.3347e-03, 9.6412e-03, 1.9839e-03, 9.0857e-03,\n 3.1109e-03, -2.5779e-03, 1.8361e-03, -2.9194e-04, 4.9699e-04,\n -2.1183e-02, -5.2489e-04, -3.3468e-04, 8.3982e-03, 8.2383e-04,\n 6.2577e-04, -1.8959e-03, 4.7941e-03, -1.5009e-03, 3.7682e-03,\n -1.9705e-03, 3.8849e-03, 6.4346e-03, 8.5642e-03, 7.7239e-03,\n 2.7950e-03, 2.0380e-03, 3.6404e-03, 4.6874e-03, -5.6297e-03,\n 1.3348e-03, -6.1639e-03, -4.9308e-03, -1.9406e-03, 4.3429e-03,\n 5.8927e-04, -9.9921e-04, -1.0535e-03, 1.3865e-03, -1.2872e-06,\n 2.1548e-03, -3.1502e-03, 6.2435e-04, -9.9891e-04, 4.6287e-03,\n 1.5641e-03, -1.5335e-03, -1.4563e-02, -8.7868e-04, -2.1042e-03,\n 6.8296e-03, -3.8179e-03, 2.9512e-03, -2.9602e-03, 9.1511e-03,\n -2.4954e-03, 4.5986e-03, -1.8846e-03, -5.2058e-03, -3.5966e-03,\n -4.2738e-03, 3.8633e-03, -3.3684e-04, -9.6070e-03, 3.0539e-03,\n 8.6687e-04, -2.7940e-03, 1.3193e-03, -1.4864e-03, 1.0872e-03,\n -1.9697e-03, 1.5710e-03, 1.2525e-03, 6.5949e-03, 3.5485e-03,\n 2.4158e-03, -7.9095e-05, -1.7049e-03, 7.5840e-04, -2.2604e-03,\n -4.1440e-03, -2.3710e-03, -1.0575e-03, 1.7944e-03, -7.0967e-03,\n 2.0217e-03, -4.4480e-03, 2.4646e-03, -5.0729e-03, -1.3922e-04,\n -2.9222e-03, 3.7787e-03, -1.1944e-02, -5.4572e-03, 1.0333e-02,\n 3.8053e-03, -1.7916e-03, -2.8007e-03, -4.0451e-04, -2.4421e-03,\n -3.5835e-03, 6.4496e-03, -1.9923e-03, -2.7364e-04, -4.4722e-03,\n -5.2968e-03, 8.4558e-03, -2.1825e-03, 1.8021e-03, 6.2548e-03,\n -9.2511e-03, 3.4799e-03, -2.8480e-03, -5.2631e-03, -2.2042e-03,\n 1.4023e-03, 7.6528e-06, 1.9616e-03, -2.1077e-03, -4.6826e-04,\n -1.0020e-03, 1.3064e-03, -7.6680e-04, -2.3281e-03, -9.6983e-04,\n -2.8214e-03, -4.9421e-03, -8.9221e-04, 6.9828e-04, -6.4953e-03,\n -3.3464e-03, -4.0591e-04, -3.0841e-03, -4.4721e-04, 9.0263e-03,\n -4.9061e-03, 4.6443e-03, 6.6478e-03, 4.5561e-03, -9.0008e-03,\n -1.2495e-02, 4.8471e-03, 7.7134e-04, 6.4721e-03, -7.0910e-04,\n 2.5393e-03, -6.0683e-04], device='cuda:0')",
23
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