readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: roberta-base-bne-finetuned_personality_multi_3
    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_3
  
  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: 2.1145
  - Accuracy: 0.4847
  
  ## 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: 32
  - eval_batch_size: 32
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.2498        | 1.0   | 63   | 2.2799          | 0.2236   |
  | 2.3044        | 2.0   | 126  | 2.1644          | 0.2980   |
  | 1.9017        | 3.0   | 189  | 1.9934          | 0.4127   |
  | 2.2281        | 4.0   | 252  | 1.8517          | 0.4501   |
  | 1.2955        | 5.0   | 315  | 1.7588          | 0.4870   |
  | 1.221         | 6.0   | 378  | 1.7269          | 0.4888   |
  | 1.1381        | 7.0   | 441  | 1.7617          | 0.4888   |
  | 0.8415        | 8.0   | 504  | 1.8101          | 0.4853   |
  | 0.6696        | 9.0   | 567  | 1.8325          | 0.4928   |
  | 0.6646        | 10.0  | 630  | 1.8707          | 0.4841   |
  | 0.3758        | 11.0  | 693  | 1.8766          | 0.4876   |
  | 0.3477        | 12.0  | 756  | 1.9171          | 0.4905   |
  | 0.2854        | 13.0  | 819  | 1.9203          | 0.4980   |
  | 0.2713        | 14.0  | 882  | 2.0089          | 0.4813   |
  | 0.3434        | 15.0  | 945  | 2.0130          | 0.4905   |
  | 0.0758        | 16.0  | 1008 | 2.0230          | 0.4922   |
  | 0.2518        | 17.0  | 1071 | 2.0793          | 0.4824   |
  | 0.0783        | 18.0  | 1134 | 2.0920          | 0.4830   |
  | 0.0933        | 19.0  | 1197 | 2.1067          | 0.4836   |
  | 0.184         | 20.0  | 1260 | 2.1145          | 0.4847   |
  
  
  ### Framework versions
  
  - Transformers 4.19.4
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  