---
library_name: transformers
license: apache-2.0
base_model: albert/albert-xlarge-v2
tags:
- generated_from_trainer
datasets:
- lucadiliello/naturalquestionsshortqa
model-index:
- name: natqa_albert_xl_finetuned
  results: []
---

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

This model is a fine-tuned version of [albert/albert-xlarge-v2](https://huggingface.co/albert/albert-xlarge-v2) on the lucadiliello/naturalquestionsshortqa 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 6.0

### Training results



### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 2.21.0
- Tokenizers 0.21.0