--- license: apache-2.0 tags: - generated_from_trainer base_model: bert-base-cased model-index: - name: bert-base-cased-wikitext2-test-mlm results: [] --- # bert-base-cased-wikitext2-test-mlm This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 6.8438 ## 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: 2e-05 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - distributed_type: IPU - gradient_accumulation_steps: 64 - total_train_batch_size: 64 - total_eval_batch_size: 5 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 10 - training precision: Mixed Precision ### Training results ### Framework versions - Transformers 4.20.1 - Pytorch 1.10.0+cpu - Datasets 2.7.1 - Tokenizers 0.12.1