* Setting all random seeds to  0 *
Loading model: out_models_paper/net_joint_cross3_rep3.pt on cuda
 Loading model that has completed (or started) 50 of 50 epochs
  test episode_type: few_shot_gold
  batch size: 25
  max eval length: 10
  number of steps: 600000
  best val loss achieved: inf

BIML specs:
 nparams= 1393801
 nlayers_encoder= 3
 nlayers_decoder= 3
 nhead= 8
 hidden_size= 128
 dim_feedforward= 512
 act_feedforward= gelu
 dropout= 0.1
 

* Setting all random seeds to  0 *
Evaluating log-likelihood of val episodes...
  with lapse rate 0.0
evaluation on few_shot_gold loglike: -156.4919 for 9700 symbol predictions
mean loglike is -0.01613 per symbol
* Setting all random seeds to  0 *
Evaluating set of validation episodes (via greedy decoding)...
 Acc Retrieve (val): 100.0
 Acc Novel (val): 100.0 SD= 0.0 N= 100
