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--- |
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license: mit |
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base_model: indolem/indobert-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: damand2061/pfsa-id-med-indobert-lem |
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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-med-indobert-lem |
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This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1033 |
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- Validation Loss: 0.2546 |
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- Validation F1: 0.8649 |
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- Validation Accuracy: 0.9290 |
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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': 19220, '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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| 0.3412 | 0.2362 | 0.7881 | 0.9230 | 0 | |
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| 0.2070 | 0.2131 | 0.8448 | 0.9301 | 1 | |
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| 0.1615 | 0.2377 | 0.8529 | 0.9254 | 2 | |
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| 0.1288 | 0.2406 | 0.8623 | 0.9285 | 3 | |
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| 0.1033 | 0.2546 | 0.8649 | 0.9290 | 4 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- TensorFlow 2.16.1 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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