text: Title: I want a parameter configuration that reproduces the results
  Body: Using the operating instructions you provided and the parameter settings in the documentation did not reproduce the results,
  The parameter settings in the article are even less effective.
  Can you provide a parameter setting that achieves the effect in the article and put it in the document.
  
  `
  Evaluating market1501 (source)
  Extracting features from query set ...
  Done, obtained 3368-by-512 matrix
  Extracting features from gallery set ...
  Done, obtained 15913-by-512 matrix
  Speed: 0.0299 sec/batch
  Computing distance matrix with metric=euclidean ...
  Computing CMC and mAP ...
  ** Results **
  mAP: 78.0%
  CMC curve
  Rank-1 : 91.3%
  Rank-5 : 96.8%
  Rank-10 : 97.9%
  Rank-20 : 98.8%
  Checkpoint saved to "log/osnet_x1_0-softmax-market1501/model/model.pth.tar-64"
  `
  has converged
  
  `
  Evaluating market1501 (source)
  Extracting features from query set ...
  Done, obtained 3368-by-512 matrix
  Extracting features from gallery set ...
  Done, obtained 15913-by-512 matrix
  Speed: 0.0299 sec/batch
  Computing distance matrix with metric=euclidean ...
  Computing CMC and mAP ...
  ** Results **
  mAP: 78.1%
  CMC curve
  Rank-1 : 91.3%
  Rank-5 : 96.8%
  Rank-10 : 97.9%
  Rank-20 : 98.8%
  Checkpoint saved to "log/osnet_x1_0-softmax-market1501/model/model.pth.tar-100"
  `
  
  `Total params: 2,578,879
  Trainable params: 2,578,879
  Non-trainable params: 0
  Input size (MB): 0.38
  Forward/backward pass size (MB): 282.45
  Params size (MB): 9.84
  Estimated Total Size (MB): 292.66
  
  Loading checkpoint from "******************************/model.pth.tar-100"
  Loaded model weights
  Loaded optimizer
  Last epoch = 100
  Last rank1 = 91.3%
  dist_metric='cosine'
  Evaluating dukemtmcreid (target)
  
  Extracting features from query set ...
  Done, obtained 2228-by-512 matrix
  Extracting features from gallery set ...
  Done, obtained 17661-by-512 matrix
  Speed: 0.0303 sec/batch
  Computing distance matrix with metric=cosine ...
  Computing CMC and mAP ...
  ** Results **
  mAP: 24.3%
  CMC curve
  Rank-1 : 41.7%
  Rank-5 : 57.7%
  Rank-10 : 63.3%
  Rank-20 : 69.0%
  `