--- library_name: transformers tags: - generated_from_trainer metrics: - accuracy - f1 - precision - recall model-index: - name: bert-clf-biencoder-kl_divergence results: [] --- # bert-clf-biencoder-kl_divergence This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.9469 - Accuracy: 0.6828 - F1: 0.6844 - Precision: 0.6937 - Recall: 0.6828 ## 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: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 100 - num_epochs: 7 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| | 1.1449 | 1.0 | 78 | 1.0565 | 0.5987 | 0.5820 | 0.6068 | 0.5987 | | 0.8672 | 2.0 | 156 | 0.8471 | 0.6505 | 0.6449 | 0.6611 | 0.6505 | | 0.6288 | 3.0 | 234 | 0.8003 | 0.6828 | 0.6858 | 0.6933 | 0.6828 | | 0.5023 | 4.0 | 312 | 0.8179 | 0.6893 | 0.6911 | 0.7008 | 0.6893 | | 0.332 | 5.0 | 390 | 0.8610 | 0.6861 | 0.6866 | 0.6907 | 0.6861 | | 0.2637 | 6.0 | 468 | 0.9075 | 0.6861 | 0.6870 | 0.6890 | 0.6861 | | 0.1895 | 7.0 | 546 | 0.9469 | 0.6828 | 0.6844 | 0.6937 | 0.6828 | ### Framework versions - Transformers 4.45.1 - Pytorch 2.4.0 - Datasets 3.0.1 - Tokenizers 0.20.0