| --- |
| license: apache-2.0 |
| base_model: indolem/indobertweet-base-uncased |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: classification-hate-speech-DE-2 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # classification-hate-speech-DE-2 |
|
|
| This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.0522 |
| - F1 macro: 0.3925 |
| - Weighted: 0.5885 |
| - Balanced accuracy: 0.5201 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
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|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 14 |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:| |
| | 1.3119 | 1.0 | 152 | 1.0717 | 0.4111 | 0.6682 | 0.4701 | |
| | 0.717 | 2.0 | 304 | 1.2404 | 0.3989 | 0.6063 | 0.5128 | |
| | 0.4124 | 3.0 | 456 | 1.5531 | 0.4029 | 0.6116 | 0.5286 | |
| | 0.1543 | 4.0 | 608 | 2.4557 | 0.3507 | 0.5427 | 0.5053 | |
| | 0.0445 | 5.0 | 760 | 2.6602 | 0.3950 | 0.5707 | 0.5254 | |
| | 0.1482 | 6.0 | 912 | 2.8551 | 0.3990 | 0.5643 | 0.5533 | |
| | 0.0016 | 7.0 | 1064 | 2.6333 | 0.4016 | 0.6096 | 0.5128 | |
| | 0.0012 | 8.0 | 1216 | 2.7488 | 0.3970 | 0.6019 | 0.5206 | |
| | 0.0008 | 9.0 | 1368 | 2.8494 | 0.3989 | 0.6025 | 0.5203 | |
| | 0.0005 | 10.0 | 1520 | 3.0943 | 0.3886 | 0.5799 | 0.5228 | |
| | 0.0005 | 11.0 | 1672 | 3.0410 | 0.3896 | 0.5872 | 0.5132 | |
| | 0.0006 | 12.0 | 1824 | 3.0730 | 0.4022 | 0.5912 | 0.5379 | |
| | 0.0004 | 13.0 | 1976 | 3.0387 | 0.3928 | 0.5910 | 0.5206 | |
| | 0.0005 | 14.0 | 2128 | 3.0522 | 0.3925 | 0.5885 | 0.5201 | |
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| ### Framework versions |
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|
| - Transformers 4.41.2 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
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|
