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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_p2_14_asli |
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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_p2_14_asli |
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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: 2.3478 |
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- F1 macro: 0.3466 |
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- Weighted: 0.5394 |
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- Balanced accuracy: 0.4857 |
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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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| 1.3473 | 1.0 | 93 | 1.4538 | 0.3261 | 0.5837 | 0.4352 | |
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| 0.9979 | 2.0 | 186 | 1.4648 | 0.3461 | 0.5112 | 0.4916 | |
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| 0.5325 | 3.0 | 279 | 1.8786 | 0.3325 | 0.5012 | 0.4817 | |
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| 0.2097 | 4.0 | 372 | 2.2614 | 0.3081 | 0.4708 | 0.4584 | |
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| 0.1208 | 5.0 | 465 | 2.0293 | 0.3620 | 0.5624 | 0.4896 | |
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| 0.0695 | 6.0 | 558 | 2.4287 | 0.3513 | 0.5322 | 0.4986 | |
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| 0.0129 | 7.0 | 651 | 2.3478 | 0.3466 | 0.5394 | 0.4857 | |
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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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