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--- |
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license: mit |
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base_model: indobenchmark/indobert-large-p1 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: stek1 |
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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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# stek1 |
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This model is a fine-tuned version of [indobenchmark/indobert-large-p1](https://huggingface.co/indobenchmark/indobert-large-p1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4620 |
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- F1 macro: 0.3922 |
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- Weighted: 0.6228 |
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- Balanced accuracy: 0.4926 |
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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 | F1 macro | Weighted | Balanced accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:| |
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| 1.6323 | 1.0 | 162 | 1.4006 | 0.3891 | 0.6022 | 0.5337 | |
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| 0.6435 | 2.0 | 324 | 1.6296 | 0.3035 | 0.4982 | 0.4633 | |
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| 0.6794 | 3.0 | 486 | 1.5549 | 0.4513 | 0.6180 | 0.5184 | |
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| 0.0961 | 4.0 | 648 | 2.0822 | 0.3697 | 0.6076 | 0.4753 | |
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| 0.0246 | 5.0 | 810 | 2.2624 | 0.3830 | 0.6130 | 0.4865 | |
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| 0.0009 | 6.0 | 972 | 2.5032 | 0.3856 | 0.6057 | 0.4891 | |
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| 0.001 | 7.0 | 1134 | 2.4620 | 0.3922 | 0.6228 | 0.4926 | |
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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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