--- tags: - generated_from_trainer model-index: - name: legal-italian-roberta-base results: [] --- # 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