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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: sv1 |
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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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# sv1 |
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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: 2.3325 |
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- F1 macro: 0.3954 |
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- Weighted: 0.5529 |
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- Balanced accuracy: 0.5398 |
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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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| 1.5316 | 1.0 | 154 | 1.5495 | 0.2252 | 0.3650 | 0.3588 | |
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| 1.2625 | 2.0 | 308 | 1.4130 | 0.3021 | 0.4392 | 0.4393 | |
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| 0.8381 | 3.0 | 462 | 1.4654 | 0.3616 | 0.5320 | 0.4578 | |
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| 0.6723 | 4.0 | 616 | 1.4752 | 0.4154 | 0.5946 | 0.5237 | |
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| 0.3447 | 5.0 | 770 | 1.6081 | 0.4057 | 0.6112 | 0.5217 | |
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| 0.2433 | 6.0 | 924 | 2.2897 | 0.4023 | 0.5488 | 0.5463 | |
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| 0.0404 | 7.0 | 1078 | 2.3325 | 0.3954 | 0.5529 | 0.5398 | |
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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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