| --- |
| license: apache-2.0 |
| base_model: bert-base-cased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - f1 |
| - accuracy |
| model-index: |
| - name: bert-ner-chunks |
| 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. --> |
|
|
| # bert-ner-chunks |
|
|
| This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2207 |
| - Precision: 0.8917 |
| - Recall: 0.9214 |
| - F1: 0.9063 |
| - Accuracy: 0.9730 |
|
|
| ## 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: 8 |
| - eval_batch_size: 8 |
| - 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 | Precision | Recall | F1 | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | 0.077 | 1.0 | 1756 | 0.0741 | 0.9068 | 0.9334 | 0.9199 | 0.9795 | |
| | 0.0443 | 2.0 | 3512 | 0.0649 | 0.9172 | 0.9428 | 0.9298 | 0.9841 | |
| | 0.0265 | 3.0 | 5268 | 0.0578 | 0.9250 | 0.9488 | 0.9368 | 0.9863 | |
| | 0.0109 | 4.0 | 7024 | 0.0651 | 0.9347 | 0.9492 | 0.9419 | 0.9866 | |
| | 0.005 | 5.0 | 8780 | 0.0692 | 0.9354 | 0.9502 | 0.9427 | 0.9869 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.37.0 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
|
|
