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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google-bert/bert-base-uncased |
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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: discord_classification2 |
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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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# discord_classification2 |
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co./google-bert/bert-base-uncased) on the [Text classification documentation](https://www.kaggle.com/datasets/tanishqdublish/text-classification-documentation/data) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0020 |
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- Accuracy: 1.0 |
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- Auc: 1.0 |
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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: 0.0002 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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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 | Auc | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:| |
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| 0.1484 | 1.0 | 92 | 0.0125 | 1.0 | 1.0 | |
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| 0.0164 | 2.0 | 184 | 0.0086 | 1.0 | 1.0 | |
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| 0.0138 | 3.0 | 276 | 0.0038 | 1.0 | 1.0 | |
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| 0.0073 | 4.0 | 368 | 0.0095 | 0.989 | 1.0 | |
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| 0.0052 | 5.0 | 460 | 0.0023 | 1.0 | 1.0 | |
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| 0.0065 | 6.0 | 552 | 0.0021 | 1.0 | 1.0 | |
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| 0.0041 | 7.0 | 644 | 0.0018 | 1.0 | 1.0 | |
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| 0.0062 | 8.0 | 736 | 0.0023 | 1.0 | 1.0 | |
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| 0.0032 | 9.0 | 828 | 0.0020 | 1.0 | 1.0 | |
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| 0.0044 | 10.0 | 920 | 0.0020 | 1.0 | 1.0 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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