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README.md ADDED
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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_trainer
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+ metrics:
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+ - accuracy
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+ - precision
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+ - recall
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+ - f1
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+ model-index:
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+ - name: indonesian-brand-indoBERT-finetuned
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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 the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # indonesian-brand-indoBERT-finetuned
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+
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+ This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4266
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+ - Accuracy: 0.8593
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+ - Precision: 0.8593
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+ - Recall: 0.8593
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+ - F1: 0.8593
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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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+ - learning_rate: 1e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.01
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | No log | 1.0 | 304 | 0.4740 | 0.8123 | 0.8123 | 0.8123 | 0.8123 |
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+ | 0.5873 | 2.0 | 608 | 0.4006 | 0.8551 | 0.8551 | 0.8551 | 0.8551 |
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+ | 0.5873 | 3.0 | 912 | 0.4582 | 0.8444 | 0.8444 | 0.8444 | 0.8444 |
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+ | 0.314 | 4.0 | 1216 | 0.4116 | 0.8576 | 0.8576 | 0.8576 | 0.8576 |
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+ | 0.2177 | 5.0 | 1520 | 0.4266 | 0.8593 | 0.8593 | 0.8593 | 0.8593 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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