| --- |
| 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 |
| |
