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---
license: mit
datasets:
- wikipedia
- bookcorpus
language:
- en
metrics:
- glue
library_name: transformers
---
This is our reproduction using the official HuggingFace `roberta` architecture with a medium size. On the architecture side, RoBERTa is exactly the same as BERT except for its larger vocabulary size.
According to Google's [BERT releases](https://huggingface.co/google/bert_uncased_L-8_H-512_A-8) and [BERT-Medium](https://huggingface.co/google/bert_uncased_L-8_H-512_A-8/blob/main/config.json), a medium sized model should have a config of Layer=8, Hidden=512, #AttnHeads=8, and IntermediateSize=2048. We follow this config to pre-train a RoBERTa-base model for reproduction.
We use the same datasets as BERT (English Wikipedia and Book Corpus) to pre-train for 30k steps with a batch size of 8,192. I also released the reproduction of this dataset [on HuggingFace](https://huggingface.co/datasets/JackBAI/bert_pretrain_datasets).
We utilized DeepSpeed ZeRO-2 for performance optimization.
Other training configuration:
| Parameter | Value |
|----------------------|-----------|
| WARMUP_STEPS | 1800 |
| LR_DECAY | linear |
| ADAM_EPS | 1e-6 |
| ADAM_BETA1 | 0.9 |
| ADAM_BETA2 | 0.98 |
| ADAM_WEIGHT_DECAY | 0.01 |
| PEAK_LR | 1e-3 |
We achieve very similar performance as the official BERT-Medium release on GLUE:
| Model | MRPC-F1 | STS-B-Pearson | SST-2-Acc | QQP-F1 | MNLI-m | MNLI-mm | QNLI-Acc | WNLI-Acc | RTE-Acc |
|----------------|---------|---------------|-----------|--------|--------|---------|----------|----------|---------|
| RoBERTa-medium (ours) | 83.6 | 82.7 | 89.7 | 89.0 | 79.7 | 80.1 | 89.3 | 31.0 | 57.4 |
| [BERT-medium](https://huggingface.co/google/bert_uncased_L-8_H-512_A-8) | 86.3 | 87.7 | 88.9 | 89.4 | 80.6 | 81.0 | 89.2 | 29.6 | 63.9 |
Evaluation Scores Curve (AVG of scores) during pretraining:
For both stats above we don't report CoLA scores as it's pretty unstable. The raw CoLA scores are:
| Step | 1500 | 3000 | 6000 | 9000 | 13500 | 18000 | 24000 | 30000 |
|----------|----------|----------|----------|----------|----------|----------|----------|----------|
CoLA | 1.7 | 13.5 | 29.2 | 31.4 | 31.1 | 24.1 | 29.0 | 20.0 |
|