ljw20180420 commited on
Commit
8f49402
1 Parent(s): 9bb779c

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del_model/config.json CHANGED
@@ -1,5 +1,4 @@
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  {
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- "_name_or_path": "/home/ljw/sdc1/CRISPR_results/Lindel/SX_spcas9_Lindel_del",
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  "architectures": [
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  "LindelModel"
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  ],
 
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  {
 
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  "architectures": [
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  "LindelModel"
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  ],
del_model/model.py CHANGED
@@ -35,13 +35,16 @@ class LindelModel(PreTrainedModel):
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  self.reg_mode = config.reg_mode
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  self.reg_const = config.reg_const
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  if config.model == "indel":
 
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  feature_dim = 20 * 4 + 19 * 16
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  class_dim = 2
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  elif config.model == "ins":
 
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  feature_dim = 6 * 4 + 5 * 16
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  class_dim = 21
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  elif config.model == "del":
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  class_dim = (4 + 1 + 4 + config.dlen - 1) * (config.dlen - 1) // 2
 
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  feature_dim = class_dim * (config.mh_len + 1) + 20 * 4 + 19 * 16
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  self.linear = nn.Linear(in_features=feature_dim, out_features=class_dim)
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  self.initialize_weights()
 
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  self.reg_mode = config.reg_mode
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  self.reg_const = config.reg_const
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  if config.model == "indel":
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+ # onehotencoder(ref[cut-17:cut+3])
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  feature_dim = 20 * 4 + 19 * 16
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  class_dim = 2
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  elif config.model == "ins":
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+ # onehotencoder(ref[cut-3:cut+3])
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  feature_dim = 6 * 4 + 5 * 16
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  class_dim = 21
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  elif config.model == "del":
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  class_dim = (4 + 1 + 4 + config.dlen - 1) * (config.dlen - 1) // 2
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+ # concatenate get_feature and onehotencoder(ref[cut-17:cut+3])
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  feature_dim = class_dim * (config.mh_len + 1) + 20 * 4 + 19 * 16
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  self.linear = nn.Linear(in_features=feature_dim, out_features=class_dim)
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  self.initialize_weights()
del_model/runs/Oct28_11-56-12_ljw-System-Product-Name/events.out.tfevents.1730089618.ljw-System-Product-Name.78325.2 ADDED
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+ size 19399
del_model/training_args.bin CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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  size 5304
 
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  version https://git-lfs.github.com/spec/v1
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  size 5304