readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: Alglegal_text_classifier_10_class
    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. -->
  
  # Alglegal_text_classifier_10_class
  
  This model is a fine-tuned version of [hatemestinbejaia/AlgLegal3_bert-base-arabertv2](https://huggingface.co/hatemestinbejaia/AlgLegal3_bert-base-arabertv2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3054
  - F1: 0.9329
  
  ## 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: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 1.0   | 84   | 0.5610          | 0.8658 |
  | No log        | 2.0   | 168  | 0.3273          | 0.9262 |
  | No log        | 3.0   | 252  | 0.3204          | 0.9128 |
  | No log        | 4.0   | 336  | 0.2442          | 0.9329 |
  | No log        | 5.0   | 420  | 0.2321          | 0.9463 |
  | 0.3554        | 6.0   | 504  | 0.3061          | 0.9128 |
  | 0.3554        | 7.0   | 588  | 0.2701          | 0.9396 |
  | 0.3554        | 8.0   | 672  | 0.2575          | 0.9329 |
  | 0.3554        | 9.0   | 756  | 0.2605          | 0.9329 |
  | 0.3554        | 10.0  | 840  | 0.2894          | 0.9396 |
  | 0.3554        | 11.0  | 924  | 0.2898          | 0.9329 |
  | 0.0665        | 12.0  | 1008 | 0.3025          | 0.9329 |
  | 0.0665        | 13.0  | 1092 | 0.3115          | 0.9329 |
  | 0.0665        | 14.0  | 1176 | 0.2995          | 0.9329 |
  | 0.0665        | 15.0  | 1260 | 0.3054          | 0.9329 |
  | 0.0665        | 16.0  | 1344 | 0.3054          | 0.9329 |
  | 0.0665        | 17.0  | 1428 | 0.3079          | 0.9329 |
  | 0.0435        | 18.0  | 1512 | 0.3051          | 0.9329 |
  | 0.0435        | 19.0  | 1596 | 0.3038          | 0.9329 |
  | 0.0435        | 20.0  | 1680 | 0.3054          | 0.9329 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  