readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: farsi_lastname_classifier_4
    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. -->
  
  # farsi_lastname_classifier_4
  
  This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2337
  - Accuracy: 0.96
  
  ## 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: 0.0001
  - train_batch_size: 128
  - eval_batch_size: 256
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 15
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 12   | 0.5673          | 0.836    |
  | No log        | 2.0   | 24   | 0.4052          | 0.868    |
  | No log        | 3.0   | 36   | 0.2211          | 0.932    |
  | No log        | 4.0   | 48   | 0.2488          | 0.926    |
  | No log        | 5.0   | 60   | 0.1490          | 0.954    |
  | No log        | 6.0   | 72   | 0.1464          | 0.968    |
  | No log        | 7.0   | 84   | 0.1923          | 0.954    |
  | No log        | 8.0   | 96   | 0.2070          | 0.96     |
  | No log        | 9.0   | 108  | 0.2055          | 0.962    |
  | No log        | 10.0  | 120  | 0.2436          | 0.942    |
  | No log        | 11.0  | 132  | 0.2173          | 0.96     |
  | No log        | 12.0  | 144  | 0.2342          | 0.956    |
  | No log        | 13.0  | 156  | 0.2337          | 0.962    |
  | No log        | 14.0  | 168  | 0.2332          | 0.96     |
  | No log        | 15.0  | 180  | 0.2337          | 0.96     |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  