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