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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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base_model: indolem/indobertweet-base-uncased |
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model-index: |
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- name: indonesia-election-topic-classification |
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results: [] |
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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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# indonesia-election-topic-classification |
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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: 1.5418 |
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- Balanced Accuracy: 0.4849 |
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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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- 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: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:-----------------:| |
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| No log | 1.0 | 446 | 0.8460 | 0.3867 | |
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| 0.8653 | 2.0 | 892 | 0.9161 | 0.4401 | |
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| 0.5112 | 3.0 | 1338 | 1.1297 | 0.4674 | |
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| 0.3104 | 4.0 | 1784 | 1.3028 | 0.4474 | |
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| 0.1834 | 5.0 | 2230 | 1.4835 | 0.4815 | |
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| 0.0876 | 6.0 | 2676 | 1.5418 | 0.4849 | |
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| 0.048 | 7.0 | 3122 | 1.5620 | 0.4737 | |
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### Framework versions |
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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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