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--- |
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license: mit |
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base_model: indobenchmark/indobert-base-p1 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: damand2061/innermore-x-indobert-base-p1 |
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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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# damand2061/innermore-x-indobert-base-p1 |
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This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0007 |
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- Validation Loss: 0.2387 |
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- Validation Precision: 0.7583 |
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- Validation Recall: 0.6987 |
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- Validation F1: 0.7273 |
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- Validation Accuracy: 0.9535 |
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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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0002, 'decay_steps': 420, '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 | Validation Precision | Validation Recall | Validation F1 | Validation Accuracy | Epoch | |
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|:----------:|:---------------:|:--------------------:|:-----------------:|:-------------:|:-------------------:|:-----:| |
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| 0.5438 | 0.2878 | 0.5065 | 0.5109 | 0.5087 | 0.9161 | 0 | |
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| 0.1798 | 0.1890 | 0.6416 | 0.6332 | 0.6374 | 0.9425 | 1 | |
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| 0.0764 | 0.2122 | 0.5833 | 0.5502 | 0.5663 | 0.9338 | 2 | |
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| 0.0491 | 0.1986 | 0.7729 | 0.6987 | 0.7339 | 0.9545 | 3 | |
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| 0.0333 | 0.2071 | 0.75 | 0.6812 | 0.7140 | 0.9545 | 4 | |
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| 0.0252 | 0.1806 | 0.7456 | 0.7424 | 0.7440 | 0.9530 | 5 | |
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| 0.0138 | 0.2283 | 0.7018 | 0.6987 | 0.7002 | 0.9497 | 6 | |
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| 0.0073 | 0.2202 | 0.7318 | 0.7031 | 0.7171 | 0.9530 | 7 | |
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| 0.0065 | 0.2174 | 0.7762 | 0.7118 | 0.7426 | 0.9540 | 8 | |
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| 0.0037 | 0.2373 | 0.7619 | 0.6987 | 0.7289 | 0.9516 | 9 | |
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| 0.0021 | 0.2343 | 0.7594 | 0.7031 | 0.7302 | 0.9535 | 10 | |
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| 0.0015 | 0.2478 | 0.7546 | 0.7118 | 0.7326 | 0.9530 | 11 | |
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| 0.0011 | 0.2405 | 0.7630 | 0.7031 | 0.7318 | 0.9540 | 12 | |
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| 0.0006 | 0.2388 | 0.7583 | 0.6987 | 0.7273 | 0.9535 | 13 | |
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| 0.0007 | 0.2387 | 0.7583 | 0.6987 | 0.7273 | 0.9535 | 14 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- TensorFlow 2.15.0 |
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- Tokenizers 0.15.2 |
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