readme: ---
  license: apache-2.0
  tags:
  - text-classification
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: posneg
    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. -->
  
  # posneg
  
  This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on the Positivo Negativo dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3366
  - Accuracy: 0.8692
  
  ## 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: 2e-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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 61   | 0.3870          | 0.8692   |
  | No log        | 2.0   | 122  | 0.3366          | 0.8692   |
  | No log        | 3.0   | 183  | 0.4307          | 0.8692   |
  | No log        | 4.0   | 244  | 0.5684          | 0.8598   |
  | No log        | 5.0   | 305  | 0.4044          | 0.9065   |
  | No log        | 6.0   | 366  | 0.5123          | 0.9065   |
  | No log        | 7.0   | 427  | 0.4560          | 0.9065   |
  | No log        | 8.0   | 488  | 0.5003          | 0.8972   |
  | 0.1877        | 9.0   | 549  | 0.4358          | 0.9252   |
  | 0.1877        | 10.0  | 610  | 0.4237          | 0.9252   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  