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--- |
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library_name: transformers |
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license: cc-by-sa-4.0 |
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base_model: klue/bert-base |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: bert-base-nsmc |
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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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# bert-base-nsmc |
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This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0289 |
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- Train Accuracy: 0.9915 |
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- Validation Loss: 0.5277 |
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- Validation Accuracy: 0.8766 |
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- Epoch: 4 |
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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': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1058, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 117, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.1} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 0.3956 | 0.8159 | 0.3503 | 0.8529 | 0 | |
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| 0.2169 | 0.9147 | 0.3258 | 0.8753 | 1 | |
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| 0.1077 | 0.9641 | 0.3907 | 0.8777 | 2 | |
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| 0.0498 | 0.9849 | 0.4785 | 0.8716 | 3 | |
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| 0.0289 | 0.9915 | 0.5277 | 0.8766 | 4 | |
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### Framework versions |
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- Transformers 4.55.2 |
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- TensorFlow 2.19.0 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
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