readme: ---
  license: cc-by-sa-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: AkeyLegalBert_inScotus_and_Ledgar_14epoch
    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. -->
  
  # AkeyLegalBert_inScotus_and_Ledgar_14epoch
  
  This model is a fine-tuned version of [hatemestinbejaia/AkeyLegalBert_inScotus_and_Ledgar](https://huggingface.co/hatemestinbejaia/AkeyLegalBert_inScotus_and_Ledgar) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.3286
  
  ## 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: 7.0
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 3.3388        | 1.0   | 9878  | 3.5630          |
  | 3.2344        | 2.0   | 19756 | 3.5443          |
  | 3.2459        | 3.0   | 29634 | 3.4798          |
  | 3.2394        | 4.0   | 39512 | 3.4407          |
  | 3.2801        | 5.0   | 49390 | 3.4104          |
  | 3.2772        | 6.0   | 59268 | 3.3571          |
  | 3.3636        | 7.0   | 69146 | 3.3350          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  