readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: indobert-base-p2-finetuned-mer-80k
    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-80k
  
  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: 1.4680
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.9647        | 1.0   | 2305  | 2.1419          |
  | 2.0987        | 2.0   | 4610  | 1.8580          |
  | 1.8866        | 3.0   | 6915  | 1.7170          |
  | 1.7696        | 4.0   | 9220  | 1.6357          |
  | 1.6951        | 5.0   | 11525 | 1.5761          |
  | 1.6383        | 6.0   | 13830 | 1.5354          |
  | 1.599         | 7.0   | 16135 | 1.5074          |
  | 1.5738        | 8.0   | 18440 | 1.4862          |
  | 1.5516        | 9.0   | 20745 | 1.4700          |
  | 1.5382        | 10.0  | 23050 | 1.4633          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  