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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: buburayam2024_indobtwt_7_overunder |
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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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# buburayam2024_indobtwt_7_overunder |
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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: 2.0210 |
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- F1 macro: 0.3275 |
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- Weighted: 0.4492 |
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- Balanced accuracy: 0.4916 |
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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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| 1.9685 | 1.0 | 43 | 1.7035 | 0.1920 | 0.4257 | 0.2649 | |
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| 1.4692 | 2.0 | 86 | 1.5573 | 0.2713 | 0.4184 | 0.4311 | |
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| 0.8033 | 3.0 | 129 | 1.4403 | 0.3597 | 0.5636 | 0.5084 | |
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| 0.3962 | 4.0 | 172 | 1.6567 | 0.3514 | 0.4921 | 0.5171 | |
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| 0.1335 | 5.0 | 215 | 1.9523 | 0.3306 | 0.4306 | 0.5034 | |
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| 0.0797 | 6.0 | 258 | 2.1614 | 0.3126 | 0.4075 | 0.4914 | |
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| 0.0392 | 7.0 | 301 | 2.0210 | 0.3275 | 0.4492 | 0.4916 | |
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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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