| | --- |
| | license: cc-by-sa-4.0 |
| | base_model: nlpaueb/legal-bert-base-uncased |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: Sidziesama/Legal_NER_Support_Model |
| | results: [] |
| |
|
| | datasets: |
| | - opennyaiorg/InLegalNER |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information Keras had access to. You should |
| | probably proofread and complete it, then remove this comment. --> |
| |
|
| | # Sidziesama/Legal_NER_Support_Model |
| | |
| | This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on [opennyaiorg/InLegalNER](https://huggingface.co/datasets/opennyaiorg/InLegalNER). |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 0.0501 |
| | - Validation Loss: 0.0883 |
| | - Train Precision: 0.8848 |
| | - Train Recall: 0.9160 |
| | - Train F1: 0.9001 |
| | - Train Accuracy: 0.9757 |
| | - Epoch: 4 |
| | |
| | ## 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: |
| | - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2945, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} |
| | - training_precision: float32 |
| |
|
| | ### Training results |
| |
|
| | | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch | |
| | |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:| |
| | | 0.3771 | 0.1228 | 0.8400 | 0.8644 | 0.8520 | 0.9655 | 0 | |
| | | 0.1172 | 0.0962 | 0.8715 | 0.9001 | 0.8856 | 0.9725 | 1 | |
| | | 0.0801 | 0.0895 | 0.8805 | 0.9112 | 0.8956 | 0.9745 | 2 | |
| | | 0.0597 | 0.0881 | 0.8840 | 0.9112 | 0.8974 | 0.9751 | 3 | |
| | | 0.0501 | 0.0883 | 0.8848 | 0.9160 | 0.9001 | 0.9757 | 4 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.39.3 |
| | - TensorFlow 2.15.0 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
