--- license: apache-2.0 tags: - generated_from_trainer metrics: - f1 model-index: - name: results results: [] --- # results This model is a fine-tuned version of [hfl/chinese-bert-wwm-ext](https://huggingface.co/hfl/chinese-bert-wwm-ext) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.4235 - F1: 0.9546 ## 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: 1 - eval_batch_size: 1 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | |:-------------:|:-----:|:-----:|:---------------:|:------:| | 1.1307 | 1.0 | 3268 | 0.9040 | 0.0 | | 0.8795 | 2.0 | 6536 | 0.5532 | 0.9546 | | 0.8183 | 3.0 | 9804 | 0.3641 | 0.9546 | | 1.0074 | 4.0 | 13072 | 0.3998 | 0.9546 | | 0.7947 | 5.0 | 16340 | 0.4235 | 0.9546 | ### Framework versions - Transformers 4.18.0 - Pytorch 1.10.0+cu111 - Datasets 2.1.0 - Tokenizers 0.12.1