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Antisemitism_Harassment_Detection_Model
Mehdi009/Antisemitism_Harassment_Detection_Model
Antisemitism_Harassment_Detection_Model is a text classification model from Mehdi009. 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
- Oct 6, 2024
- Updated
- Oct 6, 2024
- SHA
- 57677e81
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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 bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1922
- Accuracy: 0.9640
- Precision: 0.926
- Recall: 0.7928
- F1: 0.8542
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.1639 | 1.0 | 1097 | 0.1940 | 0.9389 | 0.8762 | 0.6301 | 0.7331 |
| 0.1069 | 2.0 | 2194 | 0.1561 | 0.9608 | 0.9478 | 0.7466 | 0.8352 |
| 0.0897 | 3.0 | 3291 | 0.1922 | 0.9640 | 0.926 | 0.7928 | 0.8542 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 6, 2024
- Updated
- Oct 6, 2024