--- license: apache-2.0 base_model: bert-base-uncased tags: - generated_from_trainer metrics: - accuracy - f1 - precision - recall model-index: - name: cola-teacher results: [] --- # cola-teacher 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: 1.3687 - Accuracy: 0.8207 - F1: 0.8793 - Precision: 0.8225 - Recall: 0.9445 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| | 0.5177 | 1.0 | 535 | 0.4576 | 0.7977 | 0.8677 | 0.7918 | 0.9598 | | 0.3187 | 2.0 | 1070 | 0.4655 | 0.8159 | 0.8764 | 0.8175 | 0.9445 | | 0.2035 | 3.0 | 1605 | 0.6732 | 0.8111 | 0.8731 | 0.8149 | 0.9404 | | 0.1495 | 4.0 | 2140 | 0.9194 | 0.8130 | 0.8751 | 0.8131 | 0.9473 | | 0.1041 | 5.0 | 2675 | 0.9687 | 0.8226 | 0.8819 | 0.8168 | 0.9584 | | 0.0823 | 6.0 | 3210 | 1.1245 | 0.8226 | 0.8804 | 0.8245 | 0.9445 | | 0.0552 | 7.0 | 3745 | 1.0909 | 0.8274 | 0.8834 | 0.8287 | 0.9459 | | 0.0427 | 8.0 | 4280 | 1.2896 | 0.8236 | 0.8808 | 0.8262 | 0.9431 | | 0.0278 | 9.0 | 4815 | 1.3355 | 0.8226 | 0.8804 | 0.8245 | 0.9445 | | 0.023 | 10.0 | 5350 | 1.3687 | 0.8207 | 0.8793 | 0.8225 | 0.9445 | ### Framework versions - Transformers 4.44.0 - Pytorch 2.4.0 - Datasets 2.21.0 - Tokenizers 0.19.1