readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - vietnamese_students_feedback
  metrics:
  - accuracy
  model-index:
  - name: phobert-large-finetuned-vietnamese_students_feedback
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: vietnamese_students_feedback
        type: vietnamese_students_feedback
        args: default
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9463044851547694
  ---
  
  <!-- 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-large-finetuned-vietnamese_students_feedback
  
  This model is a fine-tuned version of [vinai/phobert-large](https://huggingface.co/vinai/phobert-large) on the vietnamese_students_feedback dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2285
  - Accuracy: 0.9463
  
  ## 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: 24
  - eval_batch_size: 24
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 477  | 0.2088          | 0.9375   |
  | 0.3231        | 2.0   | 954  | 0.2463          | 0.9444   |
  | 0.1805        | 3.0   | 1431 | 0.2285          | 0.9463   |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.1+cu113
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  