readme: ---
  license: cc-by-sa-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: legal-bert-base-uncased-finetuned-RRamicus
    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-bert-base-uncased-finetuned-RRamicus
  
  This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1520
  
  ## 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: 928
  - 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.021         | 1.0   | 1118  | 1.3393          |
  | 1.2272        | 2.0   | 2236  | 1.2612          |
  | 1.2467        | 3.0   | 3354  | 1.2403          |
  | 1.2149        | 4.0   | 4472  | 1.2276          |
  | 1.1855        | 5.0   | 5590  | 1.2101          |
  | 1.1674        | 6.0   | 6708  | 1.2020          |
  | 1.1508        | 7.0   | 7826  | 1.1893          |
  | 1.1386        | 8.0   | 8944  | 1.1870          |
  | 1.129         | 9.0   | 10062 | 1.1794          |
  | 1.1193        | 10.0  | 11180 | 1.1759          |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.3
  - Tokenizers 0.11.6
  