readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: legal-italian-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-italian-roberta-base
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4799
  
  ## 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 |
  |:-------------:|:-----:|:-------:|:---------------:|
  | 1.0248        | 0.05  | 50000   | 0.8033          |
  | 0.912         | 0.1   | 100000  | 0.6825          |
  | 0.8853        | 1.0   | 150000  | 0.6205          |
  | 0.847         | 1.05  | 200000  | 0.5954          |
  | 0.8395        | 1.1   | 250000  | 0.5859          |
  | 0.7485        | 2.01  | 300000  | 0.5632          |
  | 0.7154        | 2.06  | 350000  | 0.5495          |
  | 0.6851        | 2.11  | 400000  | 0.5456          |
  | 0.6074        | 3.01  | 450000  | 0.5331          |
  | 0.6296        | 3.06  | 500000  | 0.5226          |
  | 0.6125        | 3.11  | 550000  | 0.5146          |
  | 0.5983        | 4.02  | 600000  | 0.5038          |
  | 0.6471        | 4.07  | 650000  | 0.4976          |
  | 0.633         | 4.12  | 700000  | 0.4982          |
  | 0.6917        | 5.02  | 750000  | 0.4906          |
  | 0.7178        | 5.07  | 800000  | 0.4833          |
  | 0.6988        | 5.12  | 850000  | 0.4754          |
  | 0.7135        | 6.02  | 900000  | 0.4734          |
  | 0.7269        | 6.07  | 950000  | 0.4826          |
  | 0.7085        | 6.12  | 1000000 | 0.4799          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu102
  - Datasets 2.8.0
  - Tokenizers 0.12.1
  