--- license: apache-2.0 base_model: bert-base-uncased tags: - generated_from_trainer metrics: - f1 - accuracy model-index: - name: bert-finetuned-sem_eval-english results: [] --- # bert-finetuned-sem_eval-english 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: 0.0716 - F1: 0.9706 - Roc Auc: 0.9799 - Accuracy: 0.965 ## 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: 1e-05 - train_batch_size: 8 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| | 0.0818 | 1.0 | 1000 | 0.0716 | 0.9706 | 0.9799 | 0.965 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu121 - Datasets 2.16.1 - Tokenizers 0.15.0