--- tags: - generated_from_trainer datasets: - data model-index: - name: indoamrbart-mbart-triple-ft-parser-no-nst-4096-eps results: [] --- # indoamrbart-mbart-triple-ft-parser-no-nst-4096-eps This model was trained from scratch on the data dataset. ## 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: 1e-06 - train_batch_size: 5 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 5 - total_train_batch_size: 25 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: polynomial - lr_scheduler_warmup_steps: 200 - num_epochs: 4096.0 - label_smoothing_factor: 0.1 ### Training results ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.1+cu121 - Datasets 2.19.2 - Tokenizers 0.19.1