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--- |
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library_name: transformers |
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license: mit |
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base_model: xlnet/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: XLNetHateSpeechClassification |
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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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# XLNetHateSpeechClassification |
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This model is a fine-tuned version of [xlnet/xlnet-base-cased](https://huggingface.co/xlnet/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: 0.4902 |
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- Accuracy: 0.8253 |
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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: 2e-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: 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 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.7005 | 1.0 | 1137 | 0.6925 | 0.5198 | |
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| 0.7039 | 2.0 | 2274 | 0.6949 | 0.4802 | |
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| 0.7015 | 3.0 | 3411 | 0.6863 | 0.6264 | |
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| 0.5107 | 4.0 | 4548 | 0.4807 | 0.7769 | |
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| 0.4288 | 5.0 | 5685 | 0.5123 | 0.8088 | |
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| 0.3948 | 6.0 | 6822 | 0.4936 | 0.8275 | |
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| 0.3481 | 7.0 | 7959 | 0.4902 | 0.8253 | |
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### Framework versions |
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- Transformers 4.48.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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