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End of training

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README.md ADDED
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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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+
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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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+
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+ # stereotype_finetuned_3_class_jailbreak
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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