| --- |
| license: mit |
| base_model: xlnet-base-cased |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: XLNet-Twitter-Analysis |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # XLNet-Twitter-Analysis |
|
|
| This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2030 |
| - Rmse: 0.1868 |
|
|
| ## 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 |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 3e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | Rmse | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:| |
| | 0.1889 | 1.0 | 1599 | 0.1784 | 0.1989 | |
| | 0.1301 | 2.0 | 3198 | 0.1554 | 0.1962 | |
| | 0.1012 | 3.0 | 4797 | 0.1586 | 0.1859 | |
| | 0.0784 | 4.0 | 6396 | 0.1731 | 0.1913 | |
| | 0.0609 | 5.0 | 7995 | 0.1475 | 0.1893 | |
| | 0.0459 | 6.0 | 9594 | 0.1822 | 0.1847 | |
| | 0.0413 | 7.0 | 11193 | 0.2089 | 0.1872 | |
| | 0.0382 | 8.0 | 12792 | 0.1923 | 0.1921 | |
| | 0.0304 | 9.0 | 14391 | 0.1954 | 0.1893 | |
| | 0.0261 | 10.0 | 15990 | 0.2030 | 0.1868 | |
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| ### Framework versions |
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|
| - Transformers 4.34.0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.14.1 |
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|
