--- license: apache-2.0 base_model: bert-base-uncased tags: - generated_from_trainer model-index: - name: bert-base-uncased-finetuned-wls-manual-2ep-lower results: [] --- # bert-base-uncased-finetuned-wls-manual-2ep-lower This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.7614 ## 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: 0.0001 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.1678 | 0.93 | 7 | 2.0527 | | 1.6854 | 1.87 | 14 | 1.7688 | ### Framework versions - Transformers 4.31.0 - Pytorch 1.11.0+cu113 - Datasets 2.14.4 - Tokenizers 0.13.3