readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: roberta-base-bne-finetuned_personality_multi
    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
  
  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: 2.3709
  - Accuracy: 0.5130
  
  ## 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: 1e-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
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.2576        | 1.0   | 125  | 2.2755          | 0.2340   |
  | 2.0409        | 2.0   | 250  | 2.1425          | 0.2974   |
  | 1.6358        | 3.0   | 375  | 1.8730          | 0.4403   |
  | 1.3553        | 4.0   | 500  | 1.7443          | 0.5032   |
  | 0.9201        | 5.0   | 625  | 1.7165          | 0.5055   |
  | 0.5199        | 6.0   | 750  | 1.7476          | 0.5107   |
  | 0.5588        | 7.0   | 875  | 1.7758          | 0.5153   |
  | 0.2079        | 8.0   | 1000 | 1.7964          | 0.5251   |
  | 0.2685        | 9.0   | 1125 | 1.8886          | 0.5187   |
  | 0.1261        | 10.0  | 1250 | 1.9463          | 0.5199   |
  | 0.1105        | 11.0  | 1375 | 2.0337          | 0.5222   |
  | 0.1572        | 12.0  | 1500 | 2.1206          | 0.5084   |
  | 0.0643        | 13.0  | 1625 | 2.1815          | 0.5182   |
  | 0.0174        | 14.0  | 1750 | 2.2412          | 0.5176   |
  | 0.0266        | 15.0  | 1875 | 2.2741          | 0.5112   |
  | 0.0447        | 16.0  | 2000 | 2.3089          | 0.5159   |
  | 0.02          | 17.0  | 2125 | 2.3401          | 0.5135   |
  | 0.0414        | 18.0  | 2250 | 2.3504          | 0.5159   |
  | 0.0122        | 19.0  | 2375 | 2.3661          | 0.5130   |
  | 0.0154        | 20.0  | 2500 | 2.3709          | 0.5130   |
  
  
  ### Framework versions
  
  - Transformers 4.19.3
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  