readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: legal_text_classifier_somaire10
    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. -->
  
  # legal_text_classifier_somaire10
  
  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab/bert-base-arabertv2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.7357
  - F1: 0.6976
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 1.0   | 188  | 1.2332          | 0.7096 |
  | No log        | 2.0   | 376  | 0.8667          | 0.7096 |
  | 1.2755        | 3.0   | 564  | 0.7313          | 0.7425 |
  | 1.2755        | 4.0   | 752  | 0.7238          | 0.7365 |
  | 1.2755        | 5.0   | 940  | 0.7191          | 0.7335 |
  | 0.5624        | 6.0   | 1128 | 0.6850          | 0.7216 |
  | 0.5624        | 7.0   | 1316 | 0.7225          | 0.7126 |
  | 0.4358        | 8.0   | 1504 | 0.7215          | 0.7126 |
  | 0.4358        | 9.0   | 1692 | 0.7374          | 0.7006 |
  | 0.4358        | 10.0  | 1880 | 0.7357          | 0.6976 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  