| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: output-pretrain-groupbert-base-phase2 | |
| 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. --> | |
| # output-pretrain-groupbert-base-phase2 | |
| This model was trained from scratch on the None 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: 0.01 | |
| - train_batch_size: 2 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - distributed_type: IPU | |
| - gradient_accumulation_steps: 2048 | |
| - total_train_batch_size: 16384 | |
| - total_eval_batch_size: 20 | |
| - optimizer: LAMB | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_ratio: 0.15 | |
| - training_steps: 2038 | |
| - training precision: Mixed Precision | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.20.1 | |
| - Pytorch 1.10.0+cpu | |
| - Datasets 2.6.1 | |
| - Tokenizers 0.12.1 | |