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bertweet-large-sexism-detector
dtorber/bertweet-large-sexism-detector
bertweet-large-sexism-detector is a text classification model from dtorber. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Apr 22, 2024
- Updated
- May 1, 2024
- SHA
- 5c0ad144
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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. -->
bertweet-large-sexism-detector
This model is a fine-tuned version of NLP-LTU/bertweet-large-sexism-detector on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9648
- Icm: 0.2479
- Icmnorm: 0.6258
- Fmeasure: 0.7526
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
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Icm | Icmnorm | Fmeasure |
|---|---|---|---|---|---|---|
| 0.8774 | 1.0 | 771 | 1.1253 | -0.1346 | 0.4317 | 0.5634 |
| 0.9551 | 2.0 | 1542 | 0.8275 | 0.1264 | 0.5641 | 0.7110 |
| 0.9559 | 3.0 | 2313 | 0.9648 | 0.2479 | 0.6258 | 0.7526 |
| 0.6926 | 4.0 | 3084 | 1.5632 | 0.1570 | 0.5797 | 0.7172 |
| 0.4547 | 5.0 | 3855 | 1.8028 | 0.1284 | 0.5652 | 0.7098 |
| 0.2611 | 6.0 | 4626 | 1.9528 | 0.2025 | 0.6027 | 0.7359 |
| 0.1528 | 7.0 | 5397 | 2.1400 | 0.1119 | 0.5568 | 0.7073 |
| 0.1173 | 8.0 | 6168 | 2.1909 | 0.1524 | 0.5773 | 0.7195 |
| 0.1096 | 9.0 | 6939 | 2.4630 | 0.1166 | 0.5591 | 0.7073 |
| 0.0535 | 10.0 | 7710 | 2.4917 | 0.1809 | 0.5918 | 0.7276 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Apr 22, 2024
- Updated
- May 1, 2024