Transformers
PyTorch
Graphcore
English
groupbert
Generated from Trainer
Inference Endpoints
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update model card README.md
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---
tags:
- generated_from_trainer
datasets:
- Graphcore/wikipedia-bert-512
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 Graphcore/wikipedia-bert-512 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