readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: roberta-base-bne-finetuned_personality_multi_4
    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. -->
  
  # roberta-base-bne-finetuned_personality_multi_4
  
  This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.1709
  - Accuracy: 0.3470
  
  ## 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: 0.0001
  - 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
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.1759        | 1.0   | 125  | 2.1873          | 0.2548   |
  | 1.8651        | 2.0   | 250  | 2.2285          | 0.2680   |
  | 1.8619        | 3.0   | 375  | 2.1732          | 0.2951   |
  | 1.7224        | 4.0   | 500  | 2.0688          | 0.3925   |
  | 1.6432        | 5.0   | 625  | 2.1094          | 0.3735   |
  | 1.3599        | 6.0   | 750  | 2.1732          | 0.3631   |
  | 1.0623        | 7.0   | 875  | 2.4785          | 0.3579   |
  | 1.0504        | 8.0   | 1000 | 2.4598          | 0.3844   |
  | 0.7662        | 9.0   | 1125 | 2.8081          | 0.3573   |
  | 0.9167        | 10.0  | 1250 | 2.9385          | 0.3452   |
  | 0.6391        | 11.0  | 1375 | 2.9933          | 0.3320   |
  | 0.3893        | 12.0  | 1500 | 3.1037          | 0.3579   |
  | 0.673         | 13.0  | 1625 | 3.4369          | 0.3631   |
  | 0.3498        | 14.0  | 1750 | 3.6396          | 0.3383   |
  | 0.3891        | 15.0  | 1875 | 3.8332          | 0.3556   |
  | 0.0818        | 16.0  | 2000 | 3.9451          | 0.3401   |
  | 0.1438        | 17.0  | 2125 | 3.9271          | 0.3458   |
  | 0.0634        | 18.0  | 2250 | 4.1564          | 0.3481   |
  | 0.0121        | 19.0  | 2375 | 4.1405          | 0.3499   |
  | 0.0071        | 20.0  | 2500 | 4.1709          | 0.3470   |
  
  
  ### Framework versions
  
  - Transformers 4.19.4
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  