readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: indobert-hoax-classification
    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. -->
  
  # indobert-hoax-classification
  
  This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6230
  - Accuracy: 0.8059
  
  ## 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: 4.2173070213315e-05
  - train_batch_size: 32
  - eval_batch_size: 16
  - seed: 30
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 85   | 0.5540          | 0.7029   |
  | No log        | 2.0   | 170  | 0.5432          | 0.7029   |
  | No log        | 3.0   | 255  | 0.4963          | 0.7441   |
  | No log        | 4.0   | 340  | 0.5791          | 0.7971   |
  | No log        | 5.0   | 425  | 0.6230          | 0.8059   |
  
  
  ### Framework versions
  
  - Transformers 4.21.0
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  