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--- |
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license: mit |
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base_model: xlnet-base-cased |
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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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: XLNet-Reddit-Toxic-Comment-Classification |
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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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# XLNet-Reddit-Toxic-Comment-Classification |
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co./xlnet-base-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2964 |
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- Rmse: 0.2828 |
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- Accuracy: 0.92 |
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- Precision: 0.9236 |
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- Recall: 0.9329 |
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- F1: 0.9282 |
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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: 3e-05 |
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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: 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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rmse | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|:------:| |
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| 0.3798 | 1.0 | 1075 | 0.2964 | 0.2828 | 0.92 | 0.9236 | 0.9329 | 0.9282 | |
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| 0.2507 | 2.0 | 2150 | 0.3791 | 0.2973 | 0.9116 | 0.8824 | 0.9698 | 0.9241 | |
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| 0.1734 | 3.0 | 3225 | 0.3779 | 0.3080 | 0.9051 | 0.8847 | 0.9530 | 0.9176 | |
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| 0.1157 | 4.0 | 4300 | 0.4796 | 0.2861 | 0.9181 | 0.9456 | 0.9044 | 0.9245 | |
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| 0.0762 | 5.0 | 5375 | 0.4729 | 0.2762 | 0.9237 | 0.9341 | 0.9279 | 0.9310 | |
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### Framework versions |
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- Transformers 4.35.0.dev0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.14.1 |
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