readme: ---
  license: cc-by-sa-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: legalbert-adept
    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. -->
  
  # legalbert-adept
  
  This model is a fine-tuned version of [hatemestinbejaia/AkeyLegalBert6](https://huggingface.co/hatemestinbejaia/AkeyLegalBert6) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.3675
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 74   | 4.5042          |
  | No log        | 2.0   | 148  | 4.4335          |
  | No log        | 3.0   | 222  | 4.5425          |
  | No log        | 4.0   | 296  | 4.4517          |
  | No log        | 5.0   | 370  | 4.3968          |
  | No log        | 6.0   | 444  | 4.2806          |
  | 4.5334        | 7.0   | 518  | 4.2783          |
  | 4.5334        | 8.0   | 592  | 4.3078          |
  | 4.5334        | 9.0   | 666  | 4.4751          |
  | 4.5334        | 10.0  | 740  | 4.4136          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  