readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: indobertweet-finetuned-ijelid
    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. -->
  
  # indobertweet-finetuned-ijelid
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5301
  - Precision: 0.9246
  - Recall: 0.9344
  - F1: 0.9293
  - Accuracy: 0.9513
  
  ## 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: 128
  - eval_batch_size: 32
  - seed: 42
  - 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 | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | No log        | 1.0   | 49   | 0.5141          | 0.9216    | 0.9326 | 0.9268 | 0.9508   |
  | No log        | 2.0   | 98   | 0.5187          | 0.9222    | 0.9356 | 0.9285 | 0.9512   |
  | No log        | 3.0   | 147  | 0.5307          | 0.9256    | 0.9341 | 0.9296 | 0.9516   |
  | No log        | 4.0   | 196  | 0.5307          | 0.9251    | 0.9343 | 0.9295 | 0.9512   |
  | No log        | 5.0   | 245  | 0.5301          | 0.9246    | 0.9344 | 0.9293 | 0.9513   |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1+cu102
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  