--- tags: - generated_from_trainer datasets: - Graphcore/wikipedia-bert-512 model-index: - name: output-pretrain-groupbert-base-phase2 results: [] --- # output-pretrain-groupbert-base-phase2 This model was trained from scratch on the Graphcore/wikipedia-bert-512 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: 0.01 - train_batch_size: 2 - eval_batch_size: 1 - seed: 42 - distributed_type: IPU - gradient_accumulation_steps: 2048 - total_train_batch_size: 16384 - total_eval_batch_size: 20 - optimizer: LAMB - lr_scheduler_type: linear - training_steps: 1 - training precision: Mixed Precision ### Training results ### Framework versions - Transformers 4.20.1 - Pytorch 1.10.0+cpu - Datasets 2.2.2 - Tokenizers 0.12.1