---
license: mit
base_model: xlnet-base-cased
tags:
- generated_from_trainer
model-index:
- name: xlnet
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# xlnet

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: 0.8759

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1873        | 1.0   | 2777 | 0.8810          |
| 0.7592        | 2.0   | 5554 | 0.8365          |
| 0.6161        | 3.0   | 8331 | 0.8759          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1