readme: This model is a fine-tuned version of fzwd6666/Ged_bert_new with 4 layers on an NLT dataset. It achieves the following results on the evaluation set:
  
  {'precision': 0.9795081967213115} {'recall': 0.989648033126294} {'f1': 0.984552008238929} {'accuracy': 0.9843227424749164}
  
  Training hyperparameters:
  
  learning_rate: 1e-4
  train_batch_size: 8
  eval_batch_size: 8
  optimizer: AdamW with betas=(0.9,0.999) and epsilon=1e-08
  weight_decay= 0.01
  lr_scheduler_type: linear
  num_epochs: 3
  
  It achieves the following results on the test set:
  
  Incorrect UD Padded:
  {'precision': 0.6878048780487804} {'recall': 0.2863913337846987} {'f1': 0.4043977055449331} {'accuracy': 0.4722575180008471}
  
  Incorrect UD Unigram:
  {'precision': 0.6348314606741573} {'recall': 0.3060257278266757} {'f1': 0.4129739607126542} {'accuracy': 0.4557390936044049}
  
  Incorrect UD Bigram:
  {'precision': 0.6588419405320813} {'recall': 0.28503723764387273} {'f1': 0.3979206049149338} {'accuracy': 0.4603981363828886}
  
  Incorrect UD All:
  {'precision': 0.4} {'recall': 0.0013540961408259986} {'f1': 0.002699055330634278} {'accuracy': 0.373994070309191}
  
  Incorrect Sentence:
  {'precision': 0.5} {'recall': 0.012186865267433988} {'f1': 0.02379378717779247} {'accuracy': 0.37441761965268955}
  