readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: BERT-FINETUNE-MBTI-CLS-BERT-FINETUNE-MBTI-CLS-JointBERT-Warmup-from-CLS
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # BERT-FINETUNE-MBTI-CLS-BERT-FINETUNE-MBTI-CLS-JointBERT-Warmup-from-CLS
  
  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 5.3549
  - Cls loss: 2.1311
  - Lm loss: 4.8216
  - Cls Accuracy: 0.6058
  - Cls F1: 0.6037
  - Cls Precision: 0.6084
  - Cls Recall: 0.6058
  - Perplexity: 124.17
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Cls loss | Lm loss | Cls Accuracy | Cls F1 | Cls Precision | Cls Recall | Perplexity |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------:|:------------:|:------:|:-------------:|:----------:|:----------:|
  | 5.778         | 1.0   | 3470  | 5.5656          | 1.9246   | 5.0840  | 0.5931       | 0.5907 | 0.5968        | 0.5931     | 161.43     |
  | 5.1443        | 2.0   | 6940  | 5.3831          | 2.0178   | 4.8783  | 0.6069       | 0.6057 | 0.6177        | 0.6069     | 131.40     |
  | 4.9386        | 3.0   | 10410 | 5.3549          | 2.1311   | 4.8216  | 0.6058       | 0.6037 | 0.6084        | 0.6058     | 124.17     |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1
  - Datasets 2.4.0
  - Tokenizers 0.12.1