readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: legal-french-roberta-base
    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-french-roberta-base
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4293
  
  ## 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: 0.0001
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - distributed_type: tpu
  - num_devices: 8
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 512
  - total_eval_batch_size: 128
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_ratio: 0.05
  - training_steps: 1000000
  
  ### Training results
  
  | Training Loss | Epoch | Step    | Validation Loss |
  |:-------------:|:-----:|:-------:|:---------------:|
  | 0.8649        | 0.05  | 50000   | 0.7819          |
  | 0.7852        | 0.1   | 100000  | 0.6027          |
  | 0.5898        | 1.02  | 150000  | 0.5842          |
  | 0.6136        | 1.07  | 200000  | 0.5343          |
  | 0.6135        | 1.12  | 250000  | 0.5461          |
  | 0.5804        | 2.03  | 300000  | 0.5295          |
  | 0.5602        | 2.08  | 350000  | 0.5120          |
  | 0.5446        | 2.13  | 400000  | 0.4904          |
  | 0.5414        | 3.05  | 450000  | 0.4853          |
  | 0.5765        | 3.1   | 500000  | 0.4788          |
  | 0.6903        | 4.01  | 550000  | 0.4597          |
  | 0.6149        | 4.06  | 600000  | 0.4556          |
  | 0.5649        | 4.11  | 650000  | 0.4543          |
  | 0.6449        | 5.03  | 700000  | 0.4489          |
  | 0.6425        | 5.08  | 750000  | 0.4386          |
  | 0.6263        | 5.13  | 800000  | 0.4344          |
  | 0.6035        | 6.05  | 850000  | 0.4317          |
  | 0.607         | 6.1   | 900000  | 0.4332          |
  | 0.5899        | 7.01  | 950000  | 0.4321          |
  | 0.5751        | 7.06  | 1000000 | 0.4293          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu102
  - Datasets 2.8.0
  - Tokenizers 0.12.1
  