readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: mbti-career
    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. -->
  
  # mbti-career
  
  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3516
  
  ## 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: 5e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 300
  - num_epochs: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 0.6547        | 0.59  | 100  | 0.6169          |
  | 0.5967        | 1.18  | 200  | 0.5943          |
  | 0.5872        | 1.76  | 300  | 0.5696          |
  | 0.554         | 2.35  | 400  | 0.5287          |
  | 0.5041        | 2.94  | 500  | 0.4890          |
  | 0.4773        | 3.53  | 600  | 0.4895          |
  | 0.4691        | 4.12  | 700  | 0.4840          |
  | 0.4253        | 4.71  | 800  | 0.4573          |
  | 0.4002        | 5.29  | 900  | 0.4240          |
  | 0.3813        | 5.88  | 1000 | 0.4031          |
  | 0.3561        | 6.47  | 1100 | 0.3943          |
  | 0.3359        | 7.06  | 1200 | 0.3864          |
  | 0.3126        | 7.65  | 1300 | 0.3889          |
  | 0.2948        | 8.24  | 1400 | 0.3869          |
  | 0.2816        | 8.82  | 1500 | 0.3788          |
  | 0.2522        | 9.41  | 1600 | 0.3891          |
  | 0.2451        | 10.0  | 1700 | 0.3849          |
  | 0.2148        | 10.59 | 1800 | 0.3784          |
  | 0.2132        | 11.18 | 1900 | 0.3716          |
  | 0.1882        | 11.76 | 2000 | 0.3659          |
  | 0.1754        | 12.35 | 2100 | 0.3737          |
  | 0.169         | 12.94 | 2200 | 0.3711          |
  | 0.1559        | 13.53 | 2300 | 0.3672          |
  | 0.1537        | 14.12 | 2400 | 0.3391          |
  | 0.1427        | 14.71 | 2500 | 0.3516          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  