Sept. 13, 2022, 8:59 a.m.
Team: Yandex Research
Model url: https://huggingface.co/yandex/RuLeanALBERT
| Dataset | Score | Metric |
|---|---|---|
| LiDiRus | 0.403 | Matthew`s Corr |
| RCB | 0.361 / 0.413 | F1/Acc |
| PARus | 0.796 | Accuracy |
| MuSeRC | 0.874 / 0.654 | F1a/Em |
| TERRa | 0.812 | Accuracy |
| RUSSE | 0.789 | Accuracy |
| RWSD | 0.669 | Accuracy |
| DaNetQA | 0.76 | Accuracy |
| RuCoS | 0.9 / 0.902 | F1/EM |
RuLeanALBERT is a 2.9B Transformer encoder for Russian language trained on a mixture of the YaLM corpus, Taiga, RDT, and Wikipedia. It has several architectural differences from regular Transformers, namely weight sharing, rotary positional embeddings, GeGLU activations, and pre-normalization. Repo: https://github.com/yandex-research/RuLeanALBERT Habr: https://habr.com/ru/company/yandex/blog/688234/
| Category | Score |
|---|---|
| LOGIC | 0.25766842280097046 |
| KNOWLEDGE | 0.33438659081581373 |
| PREDICATE-ARGUMENT STRUCTURE | 0.3900261443729555 |
| LEXICAL SEMANTICS | 0.5105617927842396 |
| Lexical Semantics - Lexical Entailment | 0.45392064950160177 |
|---|---|
| Lexical Semantics - Morphological Negation | 0.45175395145262565 |
| Lexical Semantics - Factivity | 0.43381600524612796 |
| Lexical Semantics - Symmetry/Collectivity | 0.43852900965351466 |
| Lexical Semantics - Redundancy | 0.5897678246195885 |
| Lexical Semantics - Named Entities | 0.5590169943749475 |
| Lexical Semantics - Quantifiers | 0.5348810406899015 |
| Predicate-Argument Structure Core Args | 0.5070925528371099 |
| Predicate-Argument Structure Prepositional Phrases | 0.6715144652340956 |
| Predicate-Argument Structure Ellipsis/Implicits | 0.3263956049169334 |
| Predicate-Argument Structure Anaphora/Coreference | 0.15646620130993677 |
| Predicate-Argument Structure Active/Passive | 0.4083133966424866 |
| Predicate-Argument Structure Nominalization | 0.4445906192369001 |
| Predicate-Argument Structure Genitives/Partitives | 0.4900980294098034 |
| Predicate-Argument Structure Datives | 0.49099025303098287 |
| Predicate-Argument Structure Relative Clauses | 0.2537340189666186 |
| Predicate-Argument Structure Coordination Scopes | 0.42365927286816174 |
| Predicate-Argument Structure Intersectivity | 0.34502923976608185 |
| Predicate-Argument Structure Restrictivity | -0.014760248092334923 |
| Logic Negation | 0.11177050727031347 |
| Logic Double Negation | 0.20759971844307282 |
| Logic Interval/Numbers | 0.08877935232369505 |
| Logic Conjuction | 0.5270462766947299 |
| Logic Disjunction | 0.1396215401769611 |
| Logic Conditionals | 0.1972421118046462 |
| Logic Universal | 0.6700593942604899 |
| Logic Existential | 0.25677629550654774 |
| Logic Temporal | 0.10776235844876533 |
| Logic Upward Monotone | 0.6701754385964912 |
| Logic Downward Monotone | -0.3212669683257919 |
| Logic Non-Monotonic | 0.1286978904175574 |
| Knowledge Common Sense | 0.44831667596163405 |
| Knowledge World Knowledge | 0.20313571895099006 |
| Dataset | Speed | RAM |
|---|---|---|
| LiDiRus | - | - |
| RCB | - | - |
| PARus | - | - |
| MuSeRC | - | - |
| TERRa | - | - |
| RUSSE | - | - |
| RWSD | - | - |
| DaNetQA | - | - |
| RuCoS | - | - |