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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: MUmairAB/bert-ner |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# MUmairAB/bert-ner |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0011 |
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- Validation Loss: 0.0867 |
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- Epoch: 14 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 17560, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 0.1775 | 0.0635 | 0 | |
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| 0.0470 | 0.0559 | 1 | |
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| 0.0278 | 0.0603 | 2 | |
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| 0.0174 | 0.0603 | 3 | |
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| 0.0124 | 0.0615 | 4 | |
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| 0.0077 | 0.0722 | 5 | |
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| 0.0060 | 0.0731 | 6 | |
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| 0.0038 | 0.0757 | 7 | |
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| 0.0043 | 0.0731 | 8 | |
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| 0.0041 | 0.0735 | 9 | |
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| 0.0019 | 0.0724 | 10 | |
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| 0.0019 | 0.0786 | 11 | |
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| 0.0010 | 0.0843 | 12 | |
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| 0.0008 | 0.0814 | 13 | |
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| 0.0011 | 0.0867 | 14 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- TensorFlow 2.12.0 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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