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_1
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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_1
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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: 0.1202
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- Accuracy: 0.9869
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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: 10
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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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| No log | 1.0 | 387 | 0.0797 | 0.9825 |
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| 0.1426 | 2.0 | 774 | 0.0998 | 0.9811 |
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| 0.0344 | 3.0 | 1161 | 0.0793 | 0.9850 |
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| 0.0254 | 4.0 | 1548 | 0.1148 | 0.9796 |
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| 0.0254 | 5.0 | 1935 | 0.0971 | 0.9855 |
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| 0.0112 | 6.0 | 2322 | 0.0922 | 0.9879 |
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| 0.005 | 7.0 | 2709 | 0.1057 | 0.9859 |
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| 0.0021 | 8.0 | 3096 | 0.0995 | 0.9879 |
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| 0.0021 | 9.0 | 3483 | 0.1288 | 0.9859 |
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| 0.002 | 10.0 | 3870 | 0.1202 | 0.9869 |
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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/Sep10_08-38-32_f176afd57e30/events.out.tfevents.1725957523.f176afd57e30.37.0
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size
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size 10140
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