End of training
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README.md
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---
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license: mit
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base_model: wu981526092/Sentence-Level-Stereotype-Detector
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: stereotype_finetuned_3_class_jailbreak
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# stereotype_finetuned_3_class_jailbreak
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This model is a fine-tuned version of [wu981526092/Sentence-Level-Stereotype-Detector](https://huggingface.co/wu981526092/Sentence-Level-Stereotype-Detector) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3321
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- Accuracy: 0.9647
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.2493 | 1.0 | 526 | 0.1518 | 0.9526 |
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| 0.1115 | 2.0 | 1052 | 0.1791 | 0.9555 |
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| 0.0539 | 3.0 | 1578 | 0.2281 | 0.9590 |
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| 0.0349 | 4.0 | 2104 | 0.2549 | 0.9587 |
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| 0.026 | 5.0 | 2630 | 0.2888 | 0.9612 |
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| 0.0096 | 6.0 | 3156 | 0.3121 | 0.9626 |
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| 0.0067 | 7.0 | 3682 | 0.3401 | 0.9601 |
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| 0.0059 | 8.0 | 4208 | 0.2992 | 0.9594 |
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| 0.0108 | 9.0 | 4734 | 0.3204 | 0.9604 |
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| 0.0075 | 10.0 | 5260 | 0.2747 | 0.9651 |
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| 0.0036 | 11.0 | 5786 | 0.3540 | 0.9615 |
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| 0.003 | 12.0 | 6312 | 0.3233 | 0.9629 |
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| 0.0018 | 13.0 | 6838 | 0.3267 | 0.9629 |
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| 0.0001 | 14.0 | 7364 | 0.3310 | 0.9647 |
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| 0.0022 | 15.0 | 7890 | 0.3321 | 0.9647 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.4.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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runs/Oct16_06-58-49_dce43ffe22eb/events.out.tfevents.1729061935.dce43ffe22eb.36.1
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size
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size 13491
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