| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: gunghio/distilbert-base-multilingual-cased-finetuned-conll2003-ner | |
| <!-- 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. --> | |
| # gunghio/distilbert-base-multilingual-cased-finetuned-conll2003-ner | |
| This model was trained from scratch on an unkown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0388 | |
| - Precision: 0.9360 | |
| - Recall: 0.9458 | |
| - F1: 0.9409 | |
| - Accuracy: 0.9902 | |
| ## 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: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| | |
| | 0.1653 | 1.0 | 878 | 0.0465 | 0.9267 | 0.9300 | 0.9283 | 0.9883 | | |
| | 0.0322 | 2.0 | 1756 | 0.0404 | 0.9360 | 0.9431 | 0.9396 | 0.9897 | | |
| | 0.0185 | 3.0 | 2634 | 0.0388 | 0.9360 | 0.9458 | 0.9409 | 0.9902 | | |
| ### Framework versions | |
| - Transformers 4.6.1 | |
| - Pytorch 1.8.1+cu101 | |
| - Datasets 1.6.2 | |
| - Tokenizers 0.10.2 | |