--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: closure_system_door_inne-bert-base-uncased results: [] --- # closure_system_door_inne-bert-base-uncased This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.0296 ## 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: 7 - eval_batch_size: 7 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 15 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.7321 | 1.0 | 2 | 2.5805 | | 2.6045 | 2.0 | 4 | 2.0090 | | 2.4577 | 3.0 | 6 | 2.3344 | | 2.3622 | 4.0 | 8 | 2.4189 | | 2.2629 | 5.0 | 10 | 2.0051 | | 2.3575 | 6.0 | 12 | 1.7793 | | 2.2746 | 7.0 | 14 | 2.2124 | | 2.4304 | 8.0 | 16 | 1.9713 | | 2.2066 | 9.0 | 18 | 2.0853 | | 2.2619 | 10.0 | 20 | 2.0295 | | 2.3832 | 11.0 | 22 | 1.9840 | | 2.2777 | 12.0 | 24 | 2.2731 | | 2.1527 | 13.0 | 26 | 1.7285 | | 2.2348 | 14.0 | 28 | 1.5803 | | 2.1266 | 15.0 | 30 | 2.2303 | ### Framework versions - Transformers 4.18.0 - Pytorch 1.11.0+cu113 - Datasets 2.1.0 - Tokenizers 0.12.1