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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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model-index: |
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- name: text-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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# text-classification |
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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: 0.9868 |
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- Balanced Accuracy: 0.5178 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 10 |
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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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| 1.5005 | 1.0 | 75 | 1.2434 | 0.3803 | |
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| 1.0016 | 2.0 | 150 | 1.1184 | 0.4835 | |
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| 0.9022 | 3.0 | 225 | 1.0876 | 0.4952 | |
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| 0.5408 | 4.0 | 300 | 0.9868 | 0.5178 | |
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| 0.5569 | 5.0 | 375 | 1.0562 | 0.5062 | |
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| 0.3193 | 6.0 | 450 | 1.1570 | 0.5065 | |
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| 0.2545 | 7.0 | 525 | 1.2337 | 0.5328 | |
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| 0.2079 | 8.0 | 600 | 1.2565 | 0.5404 | |
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| 0.2004 | 9.0 | 675 | 1.3088 | 0.5403 | |
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| 0.1072 | 10.0 | 750 | 1.3097 | 0.5498 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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