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Combined-labelled-psudeo-labelled-data-toxic-bert
Dharil/Combined-labelled-psudeo-labelled-data-toxic-bert
Combined-labelled-psudeo-labelled-data-toxic-bert is a text classification model from Dharil. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 10, 2025
- Updated
- May 3, 2025
- SHA
- 37187038
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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. -->
results
This model is a fine-tuned version of unitary/toxic-bert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1082
- Accuracy: 80.4114
- Hamming Loss: 0.0464
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: 0.001
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Hamming Loss |
|---|---|---|---|---|---|
| 0.1217 | 1.0 | 140 | 0.1082 | 80.4114 | 0.0464 |
| 0.2059 | 2.0 | 280 | 0.2015 | 75.9392 | 0.0625 |
| 0.2193 | 3.0 | 420 | 0.2308 | 76.1181 | 0.0732 |
| 0.204 | 4.0 | 560 | 0.2173 | 76.1181 | 0.0732 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 10, 2025
- Updated
- May 3, 2025