readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: indobert-base-p2-finetuned-mer
    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
  
  This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.1964
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 7.7183        | 1.0   | 28   | 6.6949          |
  | 6.3179        | 2.0   | 56   | 5.7267          |
  | 5.5857        | 3.0   | 84   | 5.2449          |
  | 5.17          | 4.0   | 112  | 4.8586          |
  | 4.893         | 5.0   | 140  | 4.6777          |
  | 4.7121        | 6.0   | 168  | 4.4832          |
  | 4.5402        | 7.0   | 196  | 4.3532          |
  | 4.4698        | 8.0   | 224  | 4.2814          |
  | 4.4012        | 9.0   | 252  | 4.2612          |
  | 4.3725        | 10.0  | 280  | 4.2325          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  