nohup: ignoring input
---cfgs---
{'seed': 42, 'gpu_id': '0', 'device': 'cuda', 'rng': RandomState(MT19937) at 0x7F865629C440, 'batch_size': 1, 'dt': 1, 'image_shape': [10], 'duration': 2000, 'tdim': 2000, 'stimPeriod': array([  0, 500]), 'fixationPeriod': array([   0, 1500]), 'decisionPeriod': array([1500, 2000]), 'fixationInput': 0.31622776601683794, 'model_type': 'custom-transformer', 'neuron_thr': 0.25, 'num_input': 12, 'num_rnn': 256, 'num_rnn_out': 3, 'num_branch': 2, 'tau_minitializer': 'uniform', 'low_m': 0, 'high_m': 4, 'tau_ninitializer': 'uniform', 'low_n': 0, 'high_n': 4, 'learning_rate': 0.0001, 'beta1': 0.3, 'beta2': 0.999, 'weight_decay': 0, 'l2_h': 0.0005, 'l2_wR': 0.001, 'l2_wI': 0.0001, 'l2_wO': 0.1, 'thr': 0.005, 'problems': 1000, 'iters': 5000, 'max_iters': 5000, 'out_root': './results/results_transformer'}
input_proj.weight torch.Size([128, 12]) True
input_proj.bias torch.Size([128]) True
transformer_decoder.layers.0.self_attn.in_proj_weight torch.Size([384, 128]) True
transformer_decoder.layers.0.self_attn.in_proj_bias torch.Size([384]) True
transformer_decoder.layers.0.self_attn.out_proj.weight torch.Size([128, 128]) True
transformer_decoder.layers.0.self_attn.out_proj.bias torch.Size([128]) True
transformer_decoder.layers.0.norm.weight torch.Size([128]) True
transformer_decoder.layers.0.norm.bias torch.Size([128]) True
fc_out.weight torch.Size([3, 128]) True
fc_out.bias torch.Size([3]) True
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problem 999/ iter 52 / label [0] / loss 4.852849815506488e-05
problem 999/ iter 53 / label [0] / loss 0.00025955846649594605
problem 999/ iter 54 / label [1] / loss 0.00020680211309809238
problem 999/ iter 55 / label [1] / loss 0.00016593164764344692
problem 999/ iter 56 / label [0] / loss 4.634764263755642e-05
problem 999/ iter 57 / label [0] / loss 4.601994442055002e-05
problem 999/ iter 58 / label [0] / loss 4.589021409628913e-05
problem 999/ iter 59 / label [1] / loss 0.00036142024328000844
problem 999/ iter 60 / label [1] / loss 0.0003085743810515851
problem 999/ iter 61 / label [0] / loss 4.6882181777618825e-05
problem 999/ iter 62 / label [0] / loss 0.00023684983898419887
problem 999/ iter 63 / label [0] / loss 0.00010955240577459335
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problem 999/ iter 66 / label [0] / loss 7.268974150065333e-05
problem 999/ iter 67 / label [0] / loss 0.00012410175986588
problem 999/ iter 68 / label [0] / loss 0.00010949521674774587
problem 999/ iter 69 / label [1] / loss 0.00031762669095769525
problem 999/ iter 70 / label [0] / loss 4.3971162085654214e-05
problem 999/ iter 71 / label [1] / loss 0.00010142683458980173
problem 999/ iter 72 / label [1] / loss 9.385868906974792e-05
problem 999/ iter 73 / label [1] / loss 0.00027104339096695185
problem 999/ iter 74 / label [0] / loss 4.367201108834706e-05
problem 999/ iter 75 / label [1] / loss 7.207367161754519e-05
problem 999/ iter 76 / label [0] / loss 0.0005112087237648666
problem 999/ iter 77 / label [0] / loss 4.219039692543447e-05
problem 999/ iter 78 / label [1] / loss 6.885529001010582e-05
problem 999/ iter 79 / label [1] / loss 5.7715973525773734e-05
problem 999/ iter 80 / label [0] / loss 8.48903291625902e-05
