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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: apriadiazriel/bert_base_ncbi |
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results: [] |
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datasets: |
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- ncbi/ncbi_disease |
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language: |
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- en |
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metrics: |
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- f1 |
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pipeline_tag: token-classification |
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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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# apriadiazriel/bert_base_ncbi |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the [NCBI disease](https://huggingface.co/datasets/ncbi/ncbi_disease) dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0168 |
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- Validation Loss: 0.0518 |
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- Precision: 0.8 |
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- Recall: 0.8640 |
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- F1: 0.8308 |
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- Accuracy: 0.9860 |
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- Epoch: 9 |
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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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1017, '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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Precision | Recall | F1 | Accuracy | Epoch | |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:| |
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| 0.1130 | 0.0547 | 0.7364 | 0.7916 | 0.7630 | 0.9832 | 0 | |
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| 0.0335 | 0.0497 | 0.7836 | 0.8513 | 0.8161 | 0.9850 | 1 | |
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| 0.0213 | 0.0518 | 0.8 | 0.8640 | 0.8308 | 0.9860 | 2 | |
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| 0.0166 | 0.0518 | 0.8 | 0.8640 | 0.8308 | 0.9860 | 3 | |
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| 0.0173 | 0.0518 | 0.8 | 0.8640 | 0.8308 | 0.9860 | 4 | |
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| 0.0174 | 0.0518 | 0.8 | 0.8640 | 0.8308 | 0.9860 | 5 | |
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| 0.0168 | 0.0518 | 0.8 | 0.8640 | 0.8308 | 0.9860 | 6 | |
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| 0.0172 | 0.0518 | 0.8 | 0.8640 | 0.8308 | 0.9860 | 7 | |
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| 0.0167 | 0.0518 | 0.8 | 0.8640 | 0.8308 | 0.9860 | 8 | |
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| 0.0168 | 0.0518 | 0.8 | 0.8640 | 0.8308 | 0.9860 | 9 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- TensorFlow 2.18.0 |
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- Datasets 3.3.1 |
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- Tokenizers 0.21.0 |
