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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: classification-hate-speech |
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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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# classification-hate-speech |
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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: 2.3971 |
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- F1 macro: 0.3764 |
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- Weighted: 0.5676 |
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- Balanced accuracy: 0.5202 |
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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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| 1.1881 | 1.0 | 98 | 1.2881 | 0.3632 | 0.5818 | 0.4714 | |
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| 0.9442 | 2.0 | 196 | 1.6041 | 0.3525 | 0.4977 | 0.5128 | |
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| 0.5045 | 3.0 | 294 | 2.1271 | 0.3236 | 0.4088 | 0.5040 | |
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| 0.111 | 4.0 | 392 | 1.9956 | 0.3627 | 0.5579 | 0.5034 | |
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| 0.0279 | 5.0 | 490 | 2.3665 | 0.3740 | 0.5627 | 0.5203 | |
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| 0.0203 | 6.0 | 588 | 2.4468 | 0.3662 | 0.5512 | 0.5170 | |
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| 0.006 | 7.0 | 686 | 2.3971 | 0.3764 | 0.5676 | 0.5202 | |
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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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