Trainableparams:99,360 Non-trainableparams:0 --- Inputsize(MB):3.00 Forward/backwardpasssize(MB):672.00 Paramssize
0 Non-trainable params 77.6 M Total params 310.426 Total estimated model params size (MB) 257 Modules in train mode 0 Modules in eval mode D:\Development\Projects\GitHub\RVC-Boss\GPT-SoVITS\GPT_SoVITS\AR\data\dataset.py:230: FutureWarning: You are using `torch.load` with `weights_only=F...
params: 393,562 Trainable params: 392,538 Non-trainable params: 1,024 --- Input size (MB): 0.01 Forward/backward pass size (MB): 3.94 Params size (MB): 1.50 Estimated Total Size (MB): 5.45 --- {'total_params': 393562, 'trainable_params': 392538} 训练 In [...
ModelTrainable paramsAccuracy on glue-sst2 Bert-base 109M 93.37 Hybrid 94M 93.23 HybridNT 94M 92.20 KEN 80M 93.80 Hybrid 66M 91.97 HybridNT 66M 90.71 Sajjad 66M 90.30 Gordon 66M 90.80 Flop 66M 83.20 KEN 63M 92.90 File compression KEN aims to reduce the size of transformer models, includ...
network_opt = nn.SGD(network.trainable_params(), lr, momentum=0.9, weight_decay=0.0001) # Define loss function. network_loss = SoftmaxCrossEntropyWithLogits(sparse=True, reduction="mean") # set checkpoint for the network ckpt_config = CheckpointConfig( ...
. Both Ki and Fi are related to the number of trainable parameters (Equation (2)), which is found to be the third most important feature to BAC (IS > 0.55, ranked after K1, K2). As shown in Figure 7, there is a decreasing trend in 𝑃𝑎𝑟𝑎𝑚𝑠=𝑓(𝐵𝐴𝐶)Params...
YOLOv7: Trainable Bag-Of-Freebies Sets New State-Of-The-Art for Real-Time Object Detectors. arXiv 2022, arXiv:2207:02696. [Google Scholar] Bogo, F.; Kanazawa, A.; Lassner, C.; Gehler, P.; Romero, J.; Black, M.J. Keep it SMPL: Automatic Estimation of 3D Human Pose and ...