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hatespeech-multitask-vithsd
bie-nhd/hatespeech-multitask-vithsd
hatespeech-multitask-vithsd is a machine learning model from bie-nhd. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Jan 29, 2026
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Jan 29, 2026
- Updated
- Jan 29, 2026
- SHA
- 5ceda5b1
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
hatespeech-multitask-vithsd
This model is a fine-tuned version of uitnlp/visobert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4582
- Hamming Loss: 0.104
- Subset Accuracy: 0.0
- Per Label Accuracy: 0.8960
- F1 Macro: 0.1837
- F1 Weighted: 0.6493
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.0+cpu
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Created
- Jan 29, 2026
- Updated
- Jan 29, 2026