--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion model-index: - name: bert-base-uncased-issues-128 results: [] --- # bert-base-uncased-issues-128 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the emotion dataset. It achieves the following results on the evaluation set: - Loss: 2.3196 ## 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: 5e-05 - train_batch_size: 32 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 16 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.6586 | 1.0 | 500 | 2.4203 | | 2.4655 | 2.0 | 1000 | 2.3889 | | 2.3769 | 3.0 | 1500 | 2.3279 | | 2.3024 | 4.0 | 2000 | 2.3623 | | 2.2178 | 5.0 | 2500 | 2.4500 | | 2.1352 | 6.0 | 3000 | 2.3042 | | 2.0793 | 7.0 | 3500 | 2.3053 | | 2.0462 | 8.0 | 4000 | 2.2402 | | 1.9886 | 9.0 | 4500 | 2.3407 | | 1.9393 | 10.0 | 5000 | 2.2826 | | 1.904 | 11.0 | 5500 | 2.3401 | | 1.8742 | 12.0 | 6000 | 2.3276 | | 1.8441 | 13.0 | 6500 | 2.2815 | | 1.8082 | 14.0 | 7000 | 2.2739 | | 1.8058 | 15.0 | 7500 | 2.3225 | | 1.7951 | 16.0 | 8000 | 2.2933 | ### Framework versions - Transformers 4.21.1 - Pytorch 1.12.0+cu113 - Datasets 2.4.0 - Tokenizers 0.12.1