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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-3 |
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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-3 |
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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: 2.5282 |
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- F1 macro: 0.3639 |
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- Weighted: 0.5795 |
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- Balanced accuracy: 0.4853 |
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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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| 1.2772 | 1.0 | 162 | 1.3236 | 0.3758 | 0.6336 | 0.4617 | |
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| 0.9542 | 2.0 | 324 | 1.3274 | 0.3523 | 0.5765 | 0.4628 | |
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| 0.2508 | 3.0 | 486 | 1.2635 | 0.4108 | 0.6672 | 0.4862 | |
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| 0.0771 | 4.0 | 648 | 1.8577 | 0.3926 | 0.6303 | 0.5001 | |
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| 0.0063 | 5.0 | 810 | 2.4522 | 0.3539 | 0.5700 | 0.4784 | |
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| 0.0053 | 6.0 | 972 | 2.3522 | 0.3682 | 0.6028 | 0.4759 | |
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| 0.004 | 7.0 | 1134 | 2.5282 | 0.3639 | 0.5795 | 0.4853 | |
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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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