| 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 | |
| should probably proofread and complete it, then remove this comment. --> | |
| # 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 | |