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--- |
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license: mit |
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base_model: indobenchmark/indobert-base-p1 |
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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 [indobenchmark/indobert-base-p1](https://huggingface.co./indobenchmark/indobert-base-p1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4590 |
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- Balanced Accuracy: 0.6868 |
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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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| No log | 1.0 | 125 | 0.4590 | 0.6868 | |
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| No log | 2.0 | 250 | 0.5104 | 0.6470 | |
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| No log | 3.0 | 375 | 0.5941 | 0.6448 | |
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| 0.3146 | 4.0 | 500 | 0.5873 | 0.7828 | |
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| 0.3146 | 5.0 | 625 | 0.6645 | 0.8005 | |
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| 0.3146 | 6.0 | 750 | 0.6635 | 0.8110 | |
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| 0.3146 | 7.0 | 875 | 0.6684 | 0.7801 | |
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| 0.0956 | 8.0 | 1000 | 0.8031 | 0.7786 | |
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| 0.0956 | 9.0 | 1125 | 0.7523 | 0.7827 | |
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| 0.0956 | 10.0 | 1250 | 0.7878 | 0.7715 | |
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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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