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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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model-index: |
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- name: XLNet-Twitter-Analysis |
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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-Twitter-Analysis |
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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: 0.2030 |
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- Rmse: 0.1868 |
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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: 16 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rmse | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 0.1889 | 1.0 | 1599 | 0.1784 | 0.1989 | |
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| 0.1301 | 2.0 | 3198 | 0.1554 | 0.1962 | |
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| 0.1012 | 3.0 | 4797 | 0.1586 | 0.1859 | |
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| 0.0784 | 4.0 | 6396 | 0.1731 | 0.1913 | |
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| 0.0609 | 5.0 | 7995 | 0.1475 | 0.1893 | |
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| 0.0459 | 6.0 | 9594 | 0.1822 | 0.1847 | |
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| 0.0413 | 7.0 | 11193 | 0.2089 | 0.1872 | |
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| 0.0382 | 8.0 | 12792 | 0.1923 | 0.1921 | |
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| 0.0304 | 9.0 | 14391 | 0.1954 | 0.1893 | |
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| 0.0261 | 10.0 | 15990 | 0.2030 | 0.1868 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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