---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
base_model: xlnet-large-cased
model-index:
- name: wd_0.01_bs_24_lr_1e-05_epochs_4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wd_0.01_bs_24_lr_1e-05_epochs_4

This model is a fine-tuned version of [xlnet-large-cased](https://huggingface.co/xlnet-large-cased) on the squad dataset.

## 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: 1e-05
- train_batch_size: 72
- eval_batch_size: 192
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4.0

### Training results



### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.1
- Datasets 2.11.0
- Tokenizers 0.13.2