--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad_v2 model-index: - name: BERT_Mod_7_Squad results: [] --- # BERT_Mod_7_Squad This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad_v2 dataset. It achieves the following results on the evaluation set: - eval_loss: 1.1605 - eval_runtime: 71.6663 - eval_samples_per_second: 169.312 - eval_steps_per_second: 10.591 - epoch: 2.0 - step: 16470 ## 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: 0.002 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Framework versions - Transformers 4.20.1 - Pytorch 1.12.0 - Datasets 1.17.0 - Tokenizers 0.12.1