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README.md
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---
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license: mit
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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: CR_XLNet_5E
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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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# CR_XLNet_5E
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6034
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- Accuracy: 0.9067
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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: 5
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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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| 0.5384 | 0.33 | 50 | 0.4165 | 0.8533 |
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| 0.3633 | 0.66 | 100 | 0.3059 | 0.8867 |
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| 0.2642 | 0.99 | 150 | 0.2582 | 0.9267 |
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| 0.2626 | 1.32 | 200 | 0.3324 | 0.9 |
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| 0.1859 | 1.66 | 250 | 0.4076 | 0.9067 |
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| 0.2631 | 1.99 | 300 | 0.4334 | 0.8867 |
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| 0.1449 | 2.32 | 350 | 0.4264 | 0.9 |
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| 0.1815 | 2.65 | 400 | 0.4334 | 0.8933 |
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| 0.1316 | 2.98 | 450 | 0.4436 | 0.9 |
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| 0.0725 | 3.31 | 500 | 0.6165 | 0.9 |
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| 0.0708 | 3.64 | 550 | 0.6737 | 0.8933 |
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| 0.0821 | 3.97 | 600 | 0.5777 | 0.9067 |
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| 0.0381 | 4.3 | 650 | 0.6052 | 0.9 |
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| 0.0441 | 4.64 | 700 | 0.5853 | 0.9133 |
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| 0.0237 | 4.97 | 750 | 0.6034 | 0.9067 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.13.0
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- Datasets 2.3.2
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- Tokenizers 0.13.1
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