| license: cc-by-nc-sa-4.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: test-finetuned-ner | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # test-finetuned-ner | |
| This model is a fine-tuned version of [hfl/chinese-pert-large](https://huggingface.co/hfl/chinese-pert-large) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.1687 | |
| - Precision: 0.7449 | |
| - Recall: 0.7717 | |
| - F1: 0.7581 | |
| - Accuracy: 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: 2e-05 | |
| - train_batch_size: 3 | |
| - eval_batch_size: 3 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | | |
| |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:| | |
| | 0.1234 | 1.0 | 9387 | 0.1513 | 0.6954 | 0.7365 | 0.7153 | 0.9505 | | |
| | 0.0841 | 2.0 | 18774 | 0.1462 | 0.7248 | 0.7630 | 0.7434 | 0.9533 | | |
| | 0.0542 | 3.0 | 28161 | 0.1687 | 0.7449 | 0.7717 | 0.7581 | 0.9546 | | |
| ### Framework versions | |
| - Transformers 4.13.0 | |
| - Pytorch 1.8.0+cu111 | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.10.3 | |