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End of training

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  1. README.md +61 -0
  2. added_tokens.json +1513 -0
  3. config.json +109 -0
  4. special_tokens_map.json +37 -0
  5. tf_model.h5 +3 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +0 -0
  8. vocab.txt +0 -0
README.md ADDED
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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: LazarusNLP/NusaBERT-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: damand2061/pfsa-id-med-NusaBERT
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+ results: []
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+ ---
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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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+
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+ # damand2061/pfsa-id-med-NusaBERT
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+
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+ This model is a fine-tuned version of [LazarusNLP/NusaBERT-base](https://huggingface.co/LazarusNLP/NusaBERT-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 0.1463
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+ - Validation Loss: 0.2312
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+ - Validation F1: 0.8260
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+ - Validation Accuracy: 0.9308
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+ - Epoch: 4
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Train Loss | Validation Loss | Validation F1 | Validation Accuracy | Epoch |
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+ |:----------:|:---------------:|:-------------:|:-------------------:|:-----:|
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+ | 0.3937 | 0.2724 | 0.6512 | 0.9110 | 0 |
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+ | 0.2361 | 0.2354 | 0.7562 | 0.9255 | 1 |
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+ | 0.1954 | 0.2295 | 0.8054 | 0.9296 | 2 |
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+ | 0.1651 | 0.2309 | 0.8228 | 0.9303 | 3 |
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+ | 0.1463 | 0.2312 | 0.8260 | 0.9308 | 4 |
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+
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+
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+ ### Framework versions
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+
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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
added_tokens.json ADDED
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config.json ADDED
@@ -0,0 +1,109 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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