README.md

---
license: apache-2.0
language:
- ru
tags:
- distill
- fill-mask
- embeddings
- masked-lm
- tiny
- sentence-similarity
datasets:
- GEM/wiki_lingua
- xnli
- RussianNLP/wikiomnia
- mlsum
- IlyaGusev/gazeta
widget:
- text: Москва - <mask> России.
- text: Если б море было пивом, я бы <mask>
- text: Столица России - <mask>.
library_name: transformers
pipeline_tag: fill-mask
---
# ruRoberta-distilled

Model was distilled from [ai-forever/ruRoberta-large](https://huggingface.co/ai-forever/ruRoberta-large) with ❤️ by me.

## Usage

```python
from transformers import pipeline


pipe = pipeline('feature-extraction', model='d0rj/ruRoberta-distilled')
tokens_embeddings = pipe('Привет, мир!')
```

```python
import torch
from transformers import AutoTokenizer, AutoModel


tokenizer = AutoTokenizer.from_pretrained('d0rj/ruRoberta-distilled')
model = AutoModel.from_pretrained('d0rj/ruRoberta-distilled')


def embed_bert_cls(text: str) -> torch.Tensor:
    t = tokenizer(text, padding=True, truncation=True, return_tensors='pt').to(model.device)
    with torch.no_grad():
        model_output = model(**t)
    embeddings = model_output.last_hidden_state[:, 0, :]
    embeddings = torch.nn.functional.normalize(embeddings)
    return embeddings[0].cpu()


embedding = embed_bert_cls('Привет, мир!')
```

## Logs

Distillation process lasts for 120 hours on 4 Nvidia V100.

See all logs at [WandB](https://wandb.ai/d0rj/distill-ruroberta/runs/lehtr3bk/workspace).

## Configuration changes

- Activation GELU -> GELUFast
- Attention heads 16 -> 8
- Hidden layers 24 -> 6
- Weights size 1.42 GB -> 464 MB

## Data

Overall: 9.4 GB of raw texts, 5.1 GB of binarized texts.

Only texts in Russian were used for distillation. I do not know how the model behaves in Englishю

Used data:
- [GEM/wiki_lingua](https://huggingface.co/datasets/GEM/wiki_lingua)
- [xnli](https://huggingface.co/datasets/xnli)
- [RussianNLP/wikiomnia](https://huggingface.co/datasets/RussianNLP/wikiomnia)
- [mlsum](https://huggingface.co/datasets/mlsum)
- [IlyaGusev/gazeta](https://huggingface.co/datasets/IlyaGusev/gazeta)