readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: roberta-base-bne-finetuned_personality_multi_2
    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_2
  
  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: 2.2983
  - Accuracy: 0.5429
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.3256        | 1.0   | 125  | 2.2642          | 0.2161   |
  | 1.815         | 2.0   | 250  | 1.9569          | 0.3919   |
  | 1.614         | 3.0   | 375  | 1.7264          | 0.5014   |
  | 1.1718        | 4.0   | 500  | 1.6387          | 0.5239   |
  | 1.135         | 5.0   | 625  | 1.6259          | 0.5245   |
  | 0.5637        | 6.0   | 750  | 1.6443          | 0.5372   |
  | 0.3672        | 7.0   | 875  | 1.7146          | 0.5326   |
  | 0.3249        | 8.0   | 1000 | 1.8099          | 0.5297   |
  | 0.1791        | 9.0   | 1125 | 1.8888          | 0.5285   |
  | 0.2175        | 10.0  | 1250 | 1.9228          | 0.5326   |
  | 0.0465        | 11.0  | 1375 | 1.9753          | 0.5435   |
  | 0.1154        | 12.0  | 1500 | 2.1102          | 0.5256   |
  | 0.0745        | 13.0  | 1625 | 2.1319          | 0.5429   |
  | 0.0281        | 14.0  | 1750 | 2.1743          | 0.5360   |
  | 0.0173        | 15.0  | 1875 | 2.2087          | 0.5441   |
  | 0.0269        | 16.0  | 2000 | 2.2456          | 0.5424   |
  | 0.0107        | 17.0  | 2125 | 2.2685          | 0.5458   |
  | 0.0268        | 18.0  | 2250 | 2.2893          | 0.5383   |
  | 0.0245        | 19.0  | 2375 | 2.2943          | 0.5418   |
  | 0.0156        | 20.0  | 2500 | 2.2983          | 0.5429   |
  
  
  ### Framework versions
  
  - Transformers 4.19.4
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  