readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: albert-base-v2
    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. -->
  
  # albert-base-v2
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0075
  
  ## 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: 4
  - eval_batch_size: 4
  - 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.024         | 1.0   | 4000  | 0.0300          |
  | 0.0049        | 2.0   | 8000  | 0.0075          |
  | 0.0           | 3.0   | 12000 | 0.0125          |
  | 0.0           | 4.0   | 16000 | 0.0101          |
  | 0.0056        | 5.0   | 20000 | 0.0104          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.9.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  