|
--- |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: groupbert-base-uncased |
|
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. --> |
|
|
|
# groupbert-base-uncased |
|
|
|
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 |
|
|
