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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: indolem/indobertweet-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: indonesia-election-topic-classification-undersampling-double
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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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+ # indonesia-election-topic-classification-undersampling-double
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+
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+ This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.2574
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+ - Balanced Accuracy: 0.5978
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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: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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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+ - num_epochs: 14
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:-----------------:|
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+ | No log | 1.0 | 180 | 1.0928 | 0.4716 |
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+ | No log | 2.0 | 360 | 1.1167 | 0.4998 |
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+ | 0.997 | 3.0 | 540 | 1.2231 | 0.4872 |
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+ | 0.997 | 4.0 | 720 | 1.4308 | 0.5272 |
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+ | 0.997 | 5.0 | 900 | 1.7431 | 0.5498 |
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+ | 0.291 | 6.0 | 1080 | 1.9512 | 0.5124 |
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+ | 0.291 | 7.0 | 1260 | 2.0338 | 0.5513 |
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+ | 0.291 | 8.0 | 1440 | 2.1909 | 0.5427 |
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+ | 0.1077 | 9.0 | 1620 | 2.2574 | 0.5978 |
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+ | 0.1077 | 10.0 | 1800 | 2.3393 | 0.5698 |
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+ | 0.1077 | 11.0 | 1980 | 2.3479 | 0.5312 |
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+ | 0.0485 | 12.0 | 2160 | 2.3941 | 0.5795 |
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+ | 0.0485 | 13.0 | 2340 | 2.4026 | 0.5896 |
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+ | 0.0178 | 14.0 | 2520 | 2.4172 | 0.5584 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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