| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: bert-base-multilingual-cased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - precision |
| | - recall |
| | - f1 |
| | - accuracy |
| | model-index: |
| | - name: base_bert_ner_model |
| | 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. --> |
| |
|
| | # base_bert_ner_model |
| | |
| | This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7122 |
| | - Precision: 0.2260 |
| | - Recall: 0.0256 |
| | - F1: 0.0460 |
| | - Accuracy: 0.8504 |
| | |
| | ## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | | No log | 1.0 | 299 | 0.7522 | 0.1667 | 0.0008 | 0.0015 | 0.8492 | |
| | | 0.7628 | 2.0 | 598 | 0.7353 | 0.2466 | 0.0140 | 0.0264 | 0.8499 | |
| | | 0.7628 | 3.0 | 897 | 0.7247 | 0.2273 | 0.0233 | 0.0422 | 0.8509 | |
| | | 0.7019 | 4.0 | 1196 | 0.7177 | 0.2619 | 0.0256 | 0.0466 | 0.8521 | |
| | | 0.7019 | 5.0 | 1495 | 0.7122 | 0.2260 | 0.0256 | 0.0460 | 0.8504 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.54.0 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.21.2 |
| | |
