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--- |
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library_name: transformers |
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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/pfsa-id-indobert-nlu |
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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/pfsa-id-indobert-nlu |
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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: 0.0564 |
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- Validation Loss: 0.3296 |
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- Validation F1: 0.8278 |
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- Validation Accuracy: 0.9226 |
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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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 10440, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000} |
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- training_precision: mixed_float16 |
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### Training results |
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| Train Loss | Validation Loss | Validation F1 | Validation Accuracy | Epoch | |
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|:----------:|:---------------:|:-------------:|:-------------------:|:-----:| |
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| 0.3292 | 0.2490 | 0.7686 | 0.9169 | 0 | |
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| 0.2018 | 0.2370 | 0.8140 | 0.9267 | 1 | |
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| 0.1353 | 0.2506 | 0.8206 | 0.9220 | 2 | |
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| 0.0842 | 0.2787 | 0.8220 | 0.9263 | 3 | |
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| 0.0564 | 0.3296 | 0.8278 | 0.9226 | 4 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- TensorFlow 2.17.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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