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--- |
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license: mit |
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base_model: indobenchmark/indobert-large-p2 |
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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-DE-7-lp2 |
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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-DE-7-lp2 |
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This model is a fine-tuned version of [indobenchmark/indobert-large-p2](https://huggingface.co/indobenchmark/indobert-large-p2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.6437 |
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- F1 macro: 0.3699 |
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- Weighted: 0.5424 |
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- Balanced accuracy: 0.5126 |
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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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| 0.0019 | 1.0 | 152 | 3.2735 | 0.3877 | 0.5591 | 0.5253 | |
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| 0.2688 | 2.0 | 304 | 3.5136 | 0.3514 | 0.5097 | 0.4996 | |
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| 0.0489 | 3.0 | 456 | 2.9516 | 0.3901 | 0.5839 | 0.5222 | |
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| 0.0002 | 4.0 | 608 | 3.6103 | 0.3636 | 0.5354 | 0.4996 | |
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| 0.0003 | 5.0 | 760 | 3.6417 | 0.3695 | 0.5374 | 0.5234 | |
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| 0.0001 | 6.0 | 912 | 3.6270 | 0.3699 | 0.5424 | 0.5126 | |
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| 0.0001 | 7.0 | 1064 | 3.6437 | 0.3699 | 0.5424 | 0.5126 | |
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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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