---------------------------------------------------------------
predicted-5AbstractsGroup-lstm:
              precision    recall  f1-score   support

    Business     0.6870    0.6583    0.6723       120
        CSAI     0.7200    0.8438    0.7770       128
         Law     0.6484    0.6640    0.6561       125
   Sociology     0.7200    0.5902    0.6486       122
       Trans     0.8872    0.9008    0.8939       131

    accuracy                         0.7348       626
   macro avg     0.7325    0.7314    0.7296       626
weighted avg     0.7344    0.7348    0.7323       626
---------------------------------------------------------------
predicted-5AbstractsGroup_bcn_elmo:
              precision    recall  f1-score   support

    Business     0.8548    0.8833    0.8689       120
        CSAI     0.8636    0.8906    0.8769       128
         Law     0.8582    0.9200    0.8880       125
   Sociology     0.9048    0.7787    0.8370       122
       Trans     0.9313    0.9313    0.9313       131

    accuracy                         0.8818       626
   macro avg     0.8825    0.8808    0.8804       626
weighted avg     0.8830    0.8818    0.8812       626
---------------------------------------------------------------
predicted-5AbstractsGroup_bert_checkpoint-1900:

              precision    recall  f1-score   support

    Business     0.8583    0.9083    0.8826       120
        CSAI     0.8960    0.8750    0.8854       128
         Law     0.9138    0.8480    0.8797       125
   Sociology     0.8468    0.8607    0.8537       122
       Trans     0.9104    0.9313    0.9208       131

    accuracy                         0.8850       626
   macro avg     0.8851    0.8847    0.8844       626
weighted avg     0.8857    0.8850    0.8849       626

---------------------------------------------------------------
---------------------------------------------------------------
predicted-sst2_lstm:
              precision    recall  f1-score   support

           0     0.8117    0.8458    0.8284       428
           1     0.8451    0.8108    0.8276       444

    accuracy                         0.8280       872
   macro avg     0.8284    0.8283    0.8280       872
weighted avg     0.8287    0.8280    0.8280       872
---------------------------------------------------------------
predicted-sst2_bcn_elmo:
              precision    recall  f1-score   support

           0     0.9078    0.8972    0.9025       428
           1     0.9020    0.9122    0.9071       444

    accuracy                         0.9048       872
   macro avg     0.9049    0.9047    0.9048       872
weighted avg     0.9048    0.9048    0.9048       872
---------------------------------------------------------------
INFO:args:test-tmp/sst2\checkpoint-6700
INFO:args:              precision    recall  f1-score   support

           0     0.9155    0.9369    0.9261       428
           1     0.9378    0.9167    0.9271       444

    accuracy                         0.9266       872
   macro avg     0.9267    0.9268    0.9266       872
weighted avg     0.9269    0.9266    0.9266       872
---------------------------------------------------------------
---------------------------------------------------------------
# Total examples size: 155027
# Counter({0: 52779, 1: 41949, 2: 31071, 3: 29228})
# Size of instances_train, instances_val, instances_test: 124021 15502 15504
# datasets are converted successfully

predicted-redditjokes_lstm:
              precision    recall  f1-score   support

       Crazy     0.3412    0.4691    0.3951      2867
        High     0.2514    0.0291    0.0522      3160
         Low     0.4381    0.6590    0.5263      5293
      Medium     0.3176    0.2455    0.2769      4184

    accuracy                         0.3839     15504
   macro avg     0.3371    0.3507    0.3126     15504
weighted avg     0.3496    0.3839    0.3381     15504

INFO:args:++++++++classification report++++++++
INFO:args:test-tmp/redditjokes\checkpoint-5900
INFO:args:              precision    recall  f1-score   support

           Low       0.4343    0.6732    0.5280      5293
           Medium    0.3241    0.3389    0.3313      4184
           High      0.3333    0.0013    0.0025      3160
           Crazy     0.3282    0.3334    0.3308      2867

    accuracy                         0.3832     15504
   macro avg     0.3550    0.3367    0.2982     15504
weighted avg     0.3644    0.3832    0.3314     15504