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--- |
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license: mit |
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base_model: indobenchmark/indobert-large-p2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: pertama |
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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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# pertama |
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This model is a fine-tuned version of [indobenchmark/indobert-large-p2](https://huggingface.co/indobenchmark/indobert-large-p2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4507 |
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- F1 macro: 0.4131 |
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- Weighted: 0.5840 |
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- Balanced accuracy: 0.5423 |
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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: 1e-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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:| |
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| 1.3416 | 1.0 | 154 | 1.5603 | 0.2942 | 0.3462 | 0.4357 | |
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| 0.941 | 2.0 | 308 | 1.3408 | 0.3530 | 0.5202 | 0.4807 | |
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| 0.6965 | 3.0 | 462 | 1.3731 | 0.3747 | 0.5629 | 0.5101 | |
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| 0.4375 | 4.0 | 616 | 1.3137 | 0.3904 | 0.5961 | 0.5002 | |
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| 0.2491 | 5.0 | 770 | 1.5577 | 0.3772 | 0.5930 | 0.4978 | |
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| 0.0793 | 6.0 | 924 | 2.1326 | 0.3923 | 0.5382 | 0.5401 | |
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| 0.0488 | 7.0 | 1078 | 2.2000 | 0.3861 | 0.5483 | 0.5243 | |
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| 0.0206 | 8.0 | 1232 | 2.1568 | 0.3914 | 0.5873 | 0.5096 | |
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| 0.0243 | 9.0 | 1386 | 2.2272 | 0.4118 | 0.5851 | 0.5457 | |
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| 0.0126 | 10.0 | 1540 | 2.3494 | 0.4029 | 0.5885 | 0.5346 | |
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| 0.0449 | 11.0 | 1694 | 2.2914 | 0.4115 | 0.6037 | 0.5387 | |
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| 0.0023 | 12.0 | 1848 | 2.5714 | 0.3962 | 0.5675 | 0.5334 | |
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| 0.0023 | 13.0 | 2002 | 2.4491 | 0.4155 | 0.5878 | 0.5400 | |
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| 0.0024 | 14.0 | 2156 | 2.4507 | 0.4131 | 0.5840 | 0.5423 | |
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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 2.20.0 |
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- Tokenizers 0.19.1 |
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