readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: roberta-base-EnglishLawAI_roberta_base_version4
    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. -->
  
  # roberta-base-EnglishLawAI_roberta_base_version4
  
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.8089
  
  ## 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: 5e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 12
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss |
  |:-------------:|:-----:|:------:|:---------------:|
  | 2.3575        | 1.0   | 23702  | 2.1592          |
  | 2.2419        | 2.0   | 47404  | 2.1005          |
  | 2.1663        | 3.0   | 71106  | 2.0487          |
  | 2.1013        | 4.0   | 94808  | 2.0135          |
  | 2.0497        | 5.0   | 118510 | 1.9840          |
  | 1.9968        | 6.0   | 142212 | 1.9398          |
  | 1.9507        | 7.0   | 165914 | 1.9163          |
  | 1.9076        | 8.0   | 189616 | 1.8893          |
  | 1.8662        | 9.0   | 213318 | 1.8604          |
  | 1.8264        | 10.0  | 237020 | 1.8416          |
  | 1.7927        | 11.0  | 260722 | 1.8134          |
  | 1.7641        | 12.0  | 284424 | 1.8089          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  