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--- |
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license: apache-2.0 |
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base_model: indolem/indobertweet-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/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0499 |
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- F1 macro: 0.3977 |
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- Weighted: 0.6145 |
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- Balanced accuracy: 0.5186 |
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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: 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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| 1.2727 | 1.0 | 154 | 1.2213 | 0.3786 | 0.5827 | 0.4776 | |
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| 0.8729 | 2.0 | 308 | 1.4909 | 0.3204 | 0.5293 | 0.4454 | |
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| 0.3299 | 3.0 | 462 | 1.6163 | 0.3885 | 0.5956 | 0.5035 | |
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| 0.2233 | 4.0 | 616 | 1.9917 | 0.3709 | 0.5977 | 0.4661 | |
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| 0.1323 | 5.0 | 770 | 2.5400 | 0.3797 | 0.5718 | 0.4903 | |
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| 0.0014 | 6.0 | 924 | 3.0973 | 0.3555 | 0.5244 | 0.5040 | |
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| 0.0012 | 7.0 | 1078 | 2.8258 | 0.3961 | 0.6119 | 0.5142 | |
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| 0.0013 | 8.0 | 1232 | 2.8277 | 0.3864 | 0.6097 | 0.5067 | |
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| 0.0006 | 9.0 | 1386 | 2.9388 | 0.3911 | 0.6087 | 0.5121 | |
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| 0.0006 | 10.0 | 1540 | 2.9096 | 0.4015 | 0.6235 | 0.5205 | |
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| 0.0004 | 11.0 | 1694 | 3.2002 | 0.3856 | 0.5798 | 0.5138 | |
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| 0.0005 | 12.0 | 1848 | 3.1226 | 0.3945 | 0.6052 | 0.5185 | |
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| 0.0004 | 13.0 | 2002 | 3.0566 | 0.3968 | 0.6123 | 0.5181 | |
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| 0.0004 | 14.0 | 2156 | 3.0499 | 0.3977 | 0.6145 | 0.5186 | |
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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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