readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: phobert_notaugmentation
    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. -->
  
  # phobert_notaugmentation
  
  This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4768
  
  ## 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: 16
  - eval_batch_size: 16
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.5387        | 1.0   | 992  | 1.1605          |
  | 1.2971        | 2.0   | 1984 | 0.8465          |
  | 0.976         | 3.0   | 2976 | 0.6289          |
  | 0.7925        | 4.0   | 3968 | 0.5237          |
  | 0.6846        | 5.0   | 4960 | 0.4768          |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.13.1+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  