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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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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 Toxic Comment Classification Challenge dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2615 |
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- Rmse: 0.2748 |
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- Accuracy: 0.9245 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:| |
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| 0.3672 | 1.0 | 1073 | 0.2615 | 0.2748 | 0.9245 | |
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| 0.2441 | 2.0 | 2146 | 0.3464 | 0.2896 | 0.9161 | |
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| 0.1726 | 3.0 | 3219 | 0.3880 | 0.2661 | 0.9292 | |
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| 0.1146 | 4.0 | 4292 | 0.3287 | 0.2499 | 0.9376 | |
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| 0.0831 | 5.0 | 5365 | 0.3672 | 0.2590 | 0.9329 | |
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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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