metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: output-pretrain-groupbert-base-phase2
results: []
output-pretrain-groupbert-base-phase2
This model is a fine-tuned version of bert-base-uncased 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
- training_steps: 1
- training precision: Mixed Precision
Training results
Framework versions
- Transformers 4.20.1
- Pytorch 1.10.0+cpu
- Datasets 2.2.2
- Tokenizers 0.12.1