---
tags:
- masked-auto-encoding
- generated_from_trainer
model-index:
- name: ar_norm_input_lrsmall
  results: []
---

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

This model is a fine-tuned version of [](https://huggingface.co/) on the wikipedia + bookcorpus 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: 0.00015
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 500000
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.17.0
- Pytorch 1.12.0
- Datasets 2.0.0
- Tokenizers 0.13.2