Submission ruadapt Solar 10.7 twostage

April 9, 2024, 3:44 p.m.

Team: RCC MSU

Model url: https://huggingface.co/msu-rcc-lair/ruadapt_solar_10.7_darulm_unigram_proj_init_twostage_v1


Total score: 0.805

Dataset Score Metric
LiDiRus 0.591 Matthew`s Corr
RCB 0.597 / 0.594 F1/Acc
PARus 0.916 Accuracy
MuSeRC 0.946 / 0.837 F1a/Em
TERRa 0.927 Accuracy
RUSSE 0.739 Accuracy
RWSD 0.844 Accuracy
DaNetQA 0.933 Accuracy
RuCoS 0.82 / 0.797 F1/EM
Model description:

Tikhomirov, M.M. and Chernyshev, D.I., 2024. Improving Large Language Model Russian Adaptation with Preliminary Vocabulary Optimization. Lobachevskii Journal of Mathematics (will be soon) ruadapt Solar-10.7 tuned on train sets using https://github.com/IlyaGusev/rulm&


Parameter description:

Tested using https://github.com/IlyaGusev/rulm repo Training config: { "trainer": { "evaluation_strategy": "steps", "per_device_train_batch_size": 1, "per_device_eval_batch_size": 1, "gradient_accumulation_steps": 128, "eval_steps": 100, "save_steps": 100, "logging_steps": 5, "learning_rate": 0.00025, "num_train_epochs": 3, "lr_scheduler_type": "cosine", "warmup_steps": 30, "fp16": true, "bf16": false, "torch_compile": false, "optim": "adamw_torch" }, "lora": { "r": 16, "lora_alpha": 16, "lora_dropout": 0.05, "bias": "none", "target_modules": ["q_proj", "v_proj", "k_proj", "o_proj"], "task_type": "CAUSAL_LM" }, "load_in_8bit": false, "only_target_loss": true, "mode": "chat", "templates_path": "internal_prompts/saiga_v2.json", "model_name": "/data/models/gpt/solar/ruadapt_solar_10.7_darulm_unigram_proj_init_part2_v3_alpha_scale_2", "model_type": "causal", "max_tokens_count": 1024 }

Diagnostic (Matthew`s Correlation): 0.591

Category Score
LOGIC 0.5182171466476416
KNOWLEDGE 0.5686318492790999
PREDICATE-ARGUMENT STRUCTURE 0.5990987736402609
LEXICAL SEMANTICS 0.6824189078791257
Lexical Semantics - Lexical Entailment 0.728252704039083
Lexical Semantics - Morphological Negation 0.5114621455194985
Lexical Semantics - Factivity 0.4050074169097869
Lexical Semantics - Symmetry/Collectivity 0.9128709291752769
Lexical Semantics - Redundancy 0.45652173913043476
Lexical Semantics - Named Entities 0.7826237921249264
Lexical Semantics - Quantifiers 0.5936523178536028
Predicate-Argument Structure Core Args 0.7242730345466608
Predicate-Argument Structure Prepositional Phrases 0.6588289607878823
Predicate-Argument Structure Ellipsis/Implicits 0.6963106238227914
Predicate-Argument Structure Anaphora/Coreference 0.4879330934705123
Predicate-Argument Structure Active/Passive 0.6562179588897107
Predicate-Argument Structure Nominalization 0.8006407690254357
Predicate-Argument Structure Genitives/Partitives 0.6875
Predicate-Argument Structure Datives 0.629940788348712
Predicate-Argument Structure Relative Clauses 0.5222329678670935
Predicate-Argument Structure Coordination Scopes 0.5248390246530005
Predicate-Argument Structure Intersectivity 0.4496144015129485
Predicate-Argument Structure Restrictivity 0.4963635881027162
Logic Negation 0.30739085537373884
Logic Double Negation 0.6492207662311682
Logic Interval/Numbers 0.433289122413121
Logic Conjuction 0.6333794997024097
Logic Disjunction 0.5277790490704242
Logic Conditionals 0.6507936507936508
Logic Universal 0.6700593942604899
Logic Existential 0.24232015747572203
Logic Temporal 0.6798418006783489
Logic Upward Monotone 0.7894736842105263
Logic Downward Monotone 0.032570825073951766
Logic Non-Monotonic 0.45044261646145084
Knowledge Common Sense 0.5274820157194837
Knowledge World Knowledge 0.6076559095877964

Performance:

Dataset Speed RAM
LiDiRus - -
RCB - -
PARus - -
MuSeRC - -
TERRa - -
RUSSE - -
RWSD - -
DaNetQA - -
RuCoS - -