readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: indobert-base-p2-finetuned-mer-10k
    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-base-p2-finetuned-mer-10k
  
  This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.3370
  
  ## 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: 64
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 4.9568        | 1.0   | 274  | 3.6237          |
  | 3.4802        | 2.0   | 548  | 3.0803          |
  | 3.0626        | 3.0   | 822  | 2.8108          |
  | 2.8591        | 4.0   | 1096 | 2.6345          |
  | 2.7182        | 5.0   | 1370 | 2.5492          |
  | 2.6223        | 6.0   | 1644 | 2.4692          |
  | 2.5426        | 7.0   | 1918 | 2.4122          |
  | 2.5019        | 8.0   | 2192 | 2.3611          |
  | 2.4649        | 9.0   | 2466 | 2.3447          |
  | 2.4631        | 10.0  | 2740 | 2.3392          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0
  - Tokenizers 0.13.2
  