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ruadapt_qwen2.5_3B_ext_u48_full_lr3e4_bs256

Text Generation
Transformers
TensorBoard
Safetensors
qwen2
Generated from Trainer
conversational
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
ruadapt_qwen2.5_3B_ext_u48_full_lr3e4_bs256
File size: 42,343 Bytes 
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INFO: 2024-10-14 17:12:15,109: llmtf.base.evaluator: Starting eval on ['darumeru/multiq', 'darumeru/parus', 'darumeru/rcb', 'darumeru/ruopenbookqa', 'darumeru/ruworldtree', 'darumeru/rwsd', 'darumeru/use', 'russiannlp/rucola_custom']
INFO: 2024-10-14 17:12:15,109: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:12:15,109: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:12:15,157: llmtf.base.evaluator: Starting eval on ['darumeru/rummlu']
INFO: 2024-10-14 17:12:15,157: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:12:15,157: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:12:16,297: llmtf.base.evaluator: Starting eval on ['nlpcoreteam/rummlu']
INFO: 2024-10-14 17:12:16,297: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:12:16,297: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:12:18,005: llmtf.base.evaluator: Starting eval on ['nlpcoreteam/enmmlu']
INFO: 2024-10-14 17:12:18,006: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:12:18,006: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:12:19,753: llmtf.base.evaluator: Starting eval on ['daru/treewayabstractive']
INFO: 2024-10-14 17:12:19,753: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:12:19,753: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:12:21,769: llmtf.base.evaluator: Starting eval on ['daru/treewayextractive']
INFO: 2024-10-14 17:12:21,769: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:12:21,769: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:12:23,453: llmtf.base.evaluator: Starting eval on ['darumeru/cp_sent_ru', 'darumeru/cp_sent_en', 'darumeru/cp_para_ru', 'darumeru/cp_para_en']
INFO: 2024-10-14 17:12:23,453: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:12:23,453: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:12:29,425: llmtf.base.darumeru/cp_sent_ru: Loading Dataset: 5.97s
INFO: 2024-10-14 17:12:39,535: llmtf.base.daru/treewayextractive: Loading Dataset: 17.77s
INFO: 2024-10-14 17:12:39,537: llmtf.base.daru/treewayextractive: Processing Dataset: 0.00s
ERROR: 2024-10-14 17:12:39,537: llmtf.base.evaluator: return_offset_mapping is not available when using Python tokenizers. To use this feature, change your tokenizer to one deriving from transformers.PreTrainedTokenizerFast.
ERROR: 2024-10-14 17:12:39,542: llmtf.base.evaluator: Traceback (most recent call last):
  File "/scratch/tikhomirov/workdir/projects/llmtf_open/llmtf/evaluator.py", line 42, in evaluate
    self.evaluate_dataset(task, model, output_dir, prompt_max_len, few_shot_count, generation_config, batch_size, max_sample_per_dataset)
  File "/scratch/tikhomirov/workdir/projects/llmtf_open/llmtf/evaluator.py", line 65, in evaluate_dataset
    prompts, y_preds, infos = getattr(model, task.method + '_batch')(**messages_batch)
  File "/scratch/tikhomirov/workdir/projects/llmtf_open/llmtf/model.py", line 417, in calculate_logsoftmax_batch
    data = self.tokenizer(
  File "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py", line 2829, in __call__
    encodings = self._call_one(text=text, text_pair=text_pair, **all_kwargs)
  File "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py", line 2915, in _call_one
    return self.batch_encode_plus(
  File "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py", line 3106, in batch_encode_plus
    return self._batch_encode_plus(
  File "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils.py", line 788, in _batch_encode_plus
    raise NotImplementedError(
NotImplementedError: return_offset_mapping is not available when using Python tokenizers. To use this feature, change your tokenizer to one deriving from transformers.PreTrainedTokenizerFast.

INFO: 2024-10-14 17:12:48,032: llmtf.base.daru/treewayabstractive: Loading Dataset: 28.28s
INFO: 2024-10-14 17:12:51,035: llmtf.base.darumeru/MultiQ: Loading Dataset: 35.93s
INFO: 2024-10-14 17:14:25,981: llmtf.base.darumeru/ruMMLU: Loading Dataset: 130.82s
INFO: 2024-10-14 17:16:23,865: llmtf.base.nlpcoreteam/enMMLU: Loading Dataset: 245.86s
INFO: 2024-10-14 17:16:52,771: llmtf.base.nlpcoreteam/ruMMLU: Loading Dataset: 276.47s
INFO: 2024-10-14 17:17:20,199: llmtf.base.darumeru/MultiQ: Processing Dataset: 269.16s
INFO: 2024-10-14 17:17:20,200: llmtf.base.darumeru/MultiQ: Results for darumeru/MultiQ:
INFO: 2024-10-14 17:17:20,204: llmtf.base.darumeru/MultiQ: {'f1': 0.48670297858620026, 'em': 0.372848948374761}
INFO: 2024-10-14 17:17:20,215: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:17:20,216: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:17:23,562: llmtf.base.darumeru/PARus: Loading Dataset: 3.35s
INFO: 2024-10-14 17:17:30,091: llmtf.base.darumeru/PARus: Processing Dataset: 6.53s
INFO: 2024-10-14 17:17:30,093: llmtf.base.darumeru/PARus: Results for darumeru/PARus:
INFO: 2024-10-14 17:17:30,106: llmtf.base.darumeru/PARus: {'acc': 0.72}
INFO: 2024-10-14 17:17:30,108: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:17:30,108: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:17:34,240: llmtf.base.darumeru/RCB: Loading Dataset: 4.13s
INFO: 2024-10-14 17:17:45,351: llmtf.base.darumeru/RCB: Processing Dataset: 11.11s
INFO: 2024-10-14 17:17:45,353: llmtf.base.darumeru/RCB: Results for darumeru/RCB:
INFO: 2024-10-14 17:17:45,362: llmtf.base.darumeru/RCB: {'acc': 0.55, 'f1_macro': 0.4643770525787481}
INFO: 2024-10-14 17:17:45,365: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:17:45,366: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:18:02,200: llmtf.base.darumeru/ruOpenBookQA: Loading Dataset: 16.83s
INFO: 2024-10-14 17:19:12,133: llmtf.base.darumeru/cp_sent_ru: Processing Dataset: 402.71s
INFO: 2024-10-14 17:19:12,136: llmtf.base.darumeru/cp_sent_ru: Results for darumeru/cp_sent_ru:
INFO: 2024-10-14 17:19:12,140: llmtf.base.darumeru/cp_sent_ru: {'symbol_per_token': 3.958846363652826, 'len': 0.9810206403044489, 'lcs': 0.9815195071868583}
INFO: 2024-10-14 17:19:12,144: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:19:12,144: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:19:16,530: llmtf.base.darumeru/ruOpenBookQA: Processing Dataset: 74.33s
INFO: 2024-10-14 17:19:16,531: llmtf.base.darumeru/ruOpenBookQA: Results for darumeru/ruOpenBookQA:
INFO: 2024-10-14 17:19:16,545: llmtf.base.darumeru/ruOpenBookQA: {'acc': 0.7371134020618557, 'f1_macro': 0.7358424630320096}
INFO: 2024-10-14 17:19:16,562: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:19:16,562: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:19:16,859: llmtf.base.darumeru/cp_sent_en: Loading Dataset: 4.71s
INFO: 2024-10-14 17:19:19,074: llmtf.base.darumeru/ruWorldTree: Loading Dataset: 2.51s
INFO: 2024-10-14 17:19:23,376: llmtf.base.darumeru/ruWorldTree: Processing Dataset: 4.30s
INFO: 2024-10-14 17:19:23,378: llmtf.base.darumeru/ruWorldTree: Results for darumeru/ruWorldTree:
INFO: 2024-10-14 17:19:23,383: llmtf.base.darumeru/ruWorldTree: {'acc': 0.8666666666666667, 'f1_macro': 0.8654128672745693}
INFO: 2024-10-14 17:19:23,384: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:19:23,384: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:19:27,363: llmtf.base.darumeru/RWSD: Loading Dataset: 3.98s
INFO: 2024-10-14 17:19:37,387: llmtf.base.darumeru/RWSD: Processing Dataset: 10.02s
INFO: 2024-10-14 17:19:37,405: llmtf.base.darumeru/RWSD: Results for darumeru/RWSD:
INFO: 2024-10-14 17:19:37,409: llmtf.base.darumeru/RWSD: {'acc': 0.5735294117647058}
INFO: 2024-10-14 17:19:37,411: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:19:37,411: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:19:54,737: llmtf.base.darumeru/USE: Loading Dataset: 17.32s
INFO: 2024-10-14 17:25:32,317: llmtf.base.darumeru/USE: Processing Dataset: 337.58s
INFO: 2024-10-14 17:25:32,321: llmtf.base.darumeru/USE: Results for darumeru/USE:
INFO: 2024-10-14 17:25:32,326: llmtf.base.darumeru/USE: {'grade_norm': 0.06176470588235293}
INFO: 2024-10-14 17:25:32,333: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:25:32,334: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:25:48,469: llmtf.base.darumeru/ruMMLU: Processing Dataset: 682.49s
INFO: 2024-10-14 17:25:48,470: llmtf.base.darumeru/ruMMLU: Results for darumeru/ruMMLU:
INFO: 2024-10-14 17:25:48,496: llmtf.base.darumeru/ruMMLU: {'acc': 0.5159133991818817}
INFO: 2024-10-14 17:25:48,576: llmtf.base.evaluator: Ended eval
INFO: 2024-10-14 17:25:48,608: llmtf.base.evaluator: 
mean	darumeru/MultiQ	darumeru/PARus	darumeru/RCB	darumeru/RWSD	darumeru/USE	darumeru/cp_sent_ru	darumeru/ruMMLU	darumeru/ruOpenBookQA	darumeru/ruWorldTree
0.599	0.430	0.720	0.507	0.574	0.062	0.981	0.516	0.736	0.866
INFO: 2024-10-14 17:25:55,560: llmtf.base.russiannlp/rucola_custom: Loading Dataset: 23.23s
INFO: 2024-10-14 17:26:02,923: llmtf.base.darumeru/cp_sent_en: Processing Dataset: 406.06s
INFO: 2024-10-14 17:26:02,926: llmtf.base.darumeru/cp_sent_en: Results for darumeru/cp_sent_en:
INFO: 2024-10-14 17:26:02,930: llmtf.base.darumeru/cp_sent_en: {'symbol_per_token': 4.416472661458526, 'len': 0.9634384484255067, 'lcs': 1.0}
INFO: 2024-10-14 17:26:02,932: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:26:02,932: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:26:07,243: llmtf.base.darumeru/cp_para_ru: Loading Dataset: 4.31s
INFO: 2024-10-14 17:27:27,303: llmtf.base.russiannlp/rucola_custom: Processing Dataset: 91.74s
INFO: 2024-10-14 17:27:27,307: llmtf.base.russiannlp/rucola_custom: Results for russiannlp/rucola_custom:
INFO: 2024-10-14 17:27:27,320: llmtf.base.russiannlp/rucola_custom: {'acc': 0.5999282382490133, 'mcc': 0.26826918795125926}
INFO: 2024-10-14 17:27:27,332: llmtf.base.evaluator: Ended eval
INFO: 2024-10-14 17:27:27,344: llmtf.base.evaluator: 
mean	darumeru/MultiQ	darumeru/PARus	darumeru/RCB	darumeru/RWSD	darumeru/USE	darumeru/cp_sent_en	darumeru/cp_sent_ru	darumeru/ruMMLU	darumeru/ruOpenBookQA	darumeru/ruWorldTree	russiannlp/rucola_custom
0.617	0.430	0.720	0.507	0.574	0.062	0.963	0.981	0.516	0.736	0.866	0.434
INFO: 2024-10-14 17:28:31,573: llmtf.base.nlpcoreteam/enMMLU: Processing Dataset: 727.71s
INFO: 2024-10-14 17:28:31,575: llmtf.base.nlpcoreteam/enMMLU: Results for nlpcoreteam/enMMLU:
INFO: 2024-10-14 17:28:31,622: llmtf.base.nlpcoreteam/enMMLU:                                        metric
subject                                      
abstract_algebra                     0.380000
anatomy                              0.592593
astronomy                            0.736842
business_ethics                      0.730000
clinical_knowledge                   0.716981
college_biology                      0.770833
college_chemistry                    0.500000
college_computer_science             0.590000
college_mathematics                  0.420000
college_medicine                     0.676301
college_physics                      0.509804
computer_security                    0.810000
conceptual_physics                   0.642553
econometrics                         0.552632
electrical_engineering               0.675862
elementary_mathematics               0.603175
formal_logic                         0.349206
global_facts                         0.310000
high_school_biology                  0.816129
high_school_chemistry                0.610837
high_school_computer_science         0.750000
high_school_european_history         0.787879
high_school_geography                0.808081
high_school_government_and_politics  0.870466
high_school_macroeconomics           0.712821
high_school_mathematics              0.518519
high_school_microeconomics           0.768908
high_school_physics                  0.443709
high_school_psychology               0.860550
high_school_statistics               0.666667
high_school_us_history               0.852941
high_school_world_history            0.843882
human_aging                          0.721973
human_sexuality                      0.793893
international_law                    0.785124
jurisprudence                        0.787037
logical_fallacies                    0.766871
machine_learning                     0.473214
management                           0.834951
marketing                            0.888889
medical_genetics                     0.790000
miscellaneous                        0.793103
moral_disputes                       0.687861
moral_scenarios                      0.288268
nutrition                            0.751634
philosophy                           0.717042
prehistory                           0.731481
professional_accounting              0.524823
professional_law                     0.477184
professional_medicine                0.661765
professional_psychology              0.696078
public_relations                     0.745455
security_studies                     0.759184
sociology                            0.830846
us_foreign_policy                    0.850000
virology                             0.493976
world_religions                      0.807018
INFO: 2024-10-14 17:28:31,630: llmtf.base.nlpcoreteam/enMMLU:                                    metric
subject                                  
STEM                             0.606564
humanities                       0.683215
other (business, health, misc.)  0.677642
social sciences                  0.770743
INFO: 2024-10-14 17:28:31,637: llmtf.base.nlpcoreteam/enMMLU: {'acc': 0.6845408165512243}
INFO: 2024-10-14 17:28:31,706: llmtf.base.evaluator: Ended eval
INFO: 2024-10-14 17:28:31,716: llmtf.base.evaluator: 
mean	darumeru/MultiQ	darumeru/PARus	darumeru/RCB	darumeru/RWSD	darumeru/USE	darumeru/cp_sent_en	darumeru/cp_sent_ru	darumeru/ruMMLU	darumeru/ruOpenBookQA	darumeru/ruWorldTree	nlpcoreteam/enMMLU	russiannlp/rucola_custom
0.623	0.430	0.720	0.507	0.574	0.062	0.963	0.981	0.516	0.736	0.866	0.685	0.434
INFO: 2024-10-14 17:30:17,754: llmtf.base.nlpcoreteam/ruMMLU: Processing Dataset: 804.98s
INFO: 2024-10-14 17:30:17,758: llmtf.base.nlpcoreteam/ruMMLU: Results for nlpcoreteam/ruMMLU:
INFO: 2024-10-14 17:30:17,804: llmtf.base.nlpcoreteam/ruMMLU:                                        metric
subject                                      
abstract_algebra                     0.340000
anatomy                              0.385185
astronomy                            0.651316
business_ethics                      0.630000
clinical_knowledge                   0.558491
college_biology                      0.527778
college_chemistry                    0.420000
college_computer_science             0.560000
college_mathematics                  0.360000
college_medicine                     0.549133
college_physics                      0.450980
computer_security                    0.670000
conceptual_physics                   0.582979
econometrics                         0.447368
electrical_engineering               0.572414
elementary_mathematics               0.529101
formal_logic                         0.357143
global_facts                         0.320000
high_school_biology                  0.696774
high_school_chemistry                0.522167
high_school_computer_science         0.700000
high_school_european_history         0.715152
high_school_geography                0.757576
high_school_government_and_politics  0.595855
high_school_macroeconomics           0.574359
high_school_mathematics              0.444444
high_school_microeconomics           0.563025
high_school_physics                  0.384106
high_school_psychology               0.693578
high_school_statistics               0.518519
high_school_us_history               0.642157
high_school_world_history            0.687764
human_aging                          0.582960
human_sexuality                      0.625954
international_law                    0.735537
jurisprudence                        0.611111
logical_fallacies                    0.588957
machine_learning                     0.401786
management                           0.669903
marketing                            0.773504
medical_genetics                     0.560000
miscellaneous                        0.604087
moral_disputes                       0.630058
moral_scenarios                      0.226816
nutrition                            0.663399
philosophy                           0.639871
prehistory                           0.577160
professional_accounting              0.361702
professional_law                     0.371578
professional_medicine                0.470588
professional_psychology              0.539216
public_relations                     0.545455
security_studies                     0.657143
sociology                            0.726368
us_foreign_policy                    0.770000
virology                             0.463855
world_religions                      0.678363
INFO: 2024-10-14 17:30:17,812: llmtf.base.nlpcoreteam/ruMMLU:                                    metric
subject                                  
STEM                             0.518465
humanities                       0.573974
other (business, health, misc.)  0.542343
social sciences                  0.624658
INFO: 2024-10-14 17:30:17,835: llmtf.base.nlpcoreteam/ruMMLU: {'acc': 0.5648600813341976}
INFO: 2024-10-14 17:30:17,918: llmtf.base.evaluator: Ended eval
INFO: 2024-10-14 17:30:17,931: llmtf.base.evaluator: 
mean	darumeru/MultiQ	darumeru/PARus	darumeru/RCB	darumeru/RWSD	darumeru/USE	darumeru/cp_sent_en	darumeru/cp_sent_ru	darumeru/ruMMLU	darumeru/ruOpenBookQA	darumeru/ruWorldTree	nlpcoreteam/enMMLU	nlpcoreteam/ruMMLU	russiannlp/rucola_custom
0.618	0.430	0.720	0.507	0.574	0.062	0.963	0.981	0.516	0.736	0.866	0.685	0.565	0.434
INFO: 2024-10-14 17:35:49,735: llmtf.base.daru/treewayabstractive: Processing Dataset: 1381.70s
INFO: 2024-10-14 17:35:49,744: llmtf.base.daru/treewayabstractive: Results for daru/treewayabstractive:
INFO: 2024-10-14 17:35:49,749: llmtf.base.daru/treewayabstractive: {'rouge1': 0.3333904808228802, 'rouge2': 0.127931429649173}
INFO: 2024-10-14 17:35:49,754: llmtf.base.evaluator: Ended eval
INFO: 2024-10-14 17:35:49,768: llmtf.base.evaluator: 
mean	daru/treewayabstractive	darumeru/MultiQ	darumeru/PARus	darumeru/RCB	darumeru/RWSD	darumeru/USE	darumeru/cp_sent_en	darumeru/cp_sent_ru	darumeru/ruMMLU	darumeru/ruOpenBookQA	darumeru/ruWorldTree	nlpcoreteam/enMMLU	nlpcoreteam/ruMMLU	russiannlp/rucola_custom
0.591	0.231	0.430	0.720	0.507	0.574	0.062	0.963	0.981	0.516	0.736	0.866	0.685	0.565	0.434
INFO: 2024-10-14 17:36:46,624: llmtf.base.darumeru/cp_para_ru: Processing Dataset: 639.38s
INFO: 2024-10-14 17:36:46,627: llmtf.base.darumeru/cp_para_ru: Results for darumeru/cp_para_ru:
INFO: 2024-10-14 17:36:46,630: llmtf.base.darumeru/cp_para_ru: {'symbol_per_token': 3.9840096010204995, 'len': 0.9812951313228986, 'lcs': 0.98}
INFO: 2024-10-14 17:36:46,632: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 17:36:46,632: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 17:36:50,656: llmtf.base.darumeru/cp_para_en: Loading Dataset: 4.02s
INFO: 2024-10-14 17:52:40,643: llmtf.base.darumeru/cp_para_en: Processing Dataset: 949.99s
INFO: 2024-10-14 17:52:40,649: llmtf.base.darumeru/cp_para_en: Results for darumeru/cp_para_en:
INFO: 2024-10-14 17:52:40,654: llmtf.base.darumeru/cp_para_en: {'symbol_per_token': 4.4342745144269164, 'len': 0.9926602787834059, 'lcs': 1.0}
INFO: 2024-10-14 17:52:40,654: llmtf.base.evaluator: Ended eval
INFO: 2024-10-14 17:52:40,665: llmtf.base.evaluator: 
mean	daru/treewayabstractive	darumeru/MultiQ	darumeru/PARus	darumeru/RCB	darumeru/RWSD	darumeru/USE	darumeru/cp_para_en	darumeru/cp_para_ru	darumeru/cp_sent_en	darumeru/cp_sent_ru	darumeru/ruMMLU	darumeru/ruOpenBookQA	darumeru/ruWorldTree	nlpcoreteam/enMMLU	nlpcoreteam/ruMMLU	russiannlp/rucola_custom
0.641	0.231	0.430	0.720	0.507	0.574	0.062	1.000	0.980	0.963	0.981	0.516	0.736	0.866	0.685	0.565	0.434
INFO: 2024-10-14 18:14:22,049: llmtf.base.evaluator: Starting eval on ['darumeru/multiq', 'darumeru/parus', 'darumeru/rcb', 'darumeru/ruopenbookqa', 'darumeru/ruworldtree', 'darumeru/rwsd', 'darumeru/use', 'russiannlp/rucola_custom']
INFO: 2024-10-14 18:14:22,051: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:14:22,051: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:14:22,798: llmtf.base.evaluator: Starting eval on ['darumeru/rummlu']
INFO: 2024-10-14 18:14:22,799: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:14:22,799: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:14:24,660: llmtf.base.evaluator: Starting eval on ['nlpcoreteam/rummlu']
INFO: 2024-10-14 18:14:24,661: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:14:24,661: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:14:26,344: llmtf.base.evaluator: Starting eval on ['nlpcoreteam/enmmlu']
INFO: 2024-10-14 18:14:26,345: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:14:26,345: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:14:28,729: llmtf.base.evaluator: Starting eval on ['daru/treewayabstractive']
INFO: 2024-10-14 18:14:28,729: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:14:28,729: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:14:30,599: llmtf.base.evaluator: Starting eval on ['daru/treewayextractive']
INFO: 2024-10-14 18:14:30,599: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:14:30,599: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:14:32,435: llmtf.base.evaluator: Starting eval on ['darumeru/cp_sent_ru', 'darumeru/cp_sent_en', 'darumeru/cp_para_ru', 'darumeru/cp_para_en']
INFO: 2024-10-14 18:14:32,436: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:14:32,436: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:14:36,755: llmtf.base.darumeru/cp_sent_ru: Loading Dataset: 4.32s
INFO: 2024-10-14 18:14:44,237: llmtf.base.daru/treewayextractive: Loading Dataset: 13.64s
INFO: 2024-10-14 18:14:45,157: llmtf.base.darumeru/MultiQ: Loading Dataset: 23.11s
INFO: 2024-10-14 18:14:47,866: llmtf.base.daru/treewayabstractive: Loading Dataset: 19.14s
INFO: 2024-10-14 18:15:54,592: llmtf.base.darumeru/ruMMLU: Loading Dataset: 91.79s
INFO: 2024-10-14 18:17:41,911: llmtf.base.daru/treewayextractive: Processing Dataset: 177.67s
INFO: 2024-10-14 18:17:41,914: llmtf.base.daru/treewayextractive: Results for daru/treewayextractive:
INFO: 2024-10-14 18:17:42,127: llmtf.base.daru/treewayextractive: {'r-prec': 0.41475829725829727}
INFO: 2024-10-14 18:17:42,164: llmtf.base.evaluator: Ended eval
INFO: 2024-10-14 18:17:42,199: llmtf.base.evaluator: 
mean	daru/treewayabstractive	daru/treewayextractive	darumeru/MultiQ	darumeru/PARus	darumeru/RCB	darumeru/RWSD	darumeru/USE	darumeru/cp_para_en	darumeru/cp_para_ru	darumeru/cp_sent_en	darumeru/cp_sent_ru	darumeru/ruMMLU	darumeru/ruOpenBookQA	darumeru/ruWorldTree	nlpcoreteam/enMMLU	nlpcoreteam/ruMMLU	russiannlp/rucola_custom
0.627	0.231	0.415	0.430	0.720	0.507	0.574	0.062	1.000	0.980	0.963	0.981	0.516	0.736	0.866	0.685	0.565	0.434
INFO: 2024-10-14 18:17:53,326: llmtf.base.nlpcoreteam/enMMLU: Loading Dataset: 206.98s
INFO: 2024-10-14 18:18:33,858: llmtf.base.darumeru/MultiQ: Processing Dataset: 228.70s
INFO: 2024-10-14 18:18:33,859: llmtf.base.darumeru/MultiQ: Results for darumeru/MultiQ:
INFO: 2024-10-14 18:18:33,865: llmtf.base.darumeru/MultiQ: {'f1': 0.48323651229633574, 'em': 0.367112810707457}
INFO: 2024-10-14 18:18:33,875: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:18:33,876: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:18:37,304: llmtf.base.darumeru/PARus: Loading Dataset: 3.43s
INFO: 2024-10-14 18:18:43,545: llmtf.base.darumeru/PARus: Processing Dataset: 6.24s
INFO: 2024-10-14 18:18:43,547: llmtf.base.darumeru/PARus: Results for darumeru/PARus:
INFO: 2024-10-14 18:18:43,560: llmtf.base.darumeru/PARus: {'acc': 0.72}
INFO: 2024-10-14 18:18:43,562: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:18:43,562: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:18:46,981: llmtf.base.nlpcoreteam/ruMMLU: Loading Dataset: 262.32s
INFO: 2024-10-14 18:18:47,349: llmtf.base.darumeru/RCB: Loading Dataset: 3.79s
INFO: 2024-10-14 18:18:58,026: llmtf.base.darumeru/RCB: Processing Dataset: 10.67s
INFO: 2024-10-14 18:18:58,028: llmtf.base.darumeru/RCB: Results for darumeru/RCB:
INFO: 2024-10-14 18:18:58,037: llmtf.base.darumeru/RCB: {'acc': 0.55, 'f1_macro': 0.4643770525787481}
INFO: 2024-10-14 18:18:58,039: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:18:58,039: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:19:12,716: llmtf.base.darumeru/ruOpenBookQA: Loading Dataset: 14.68s
INFO: 2024-10-14 18:20:23,567: llmtf.base.darumeru/ruOpenBookQA: Processing Dataset: 70.85s
INFO: 2024-10-14 18:20:23,569: llmtf.base.darumeru/ruOpenBookQA: Results for darumeru/ruOpenBookQA:
INFO: 2024-10-14 18:20:23,597: llmtf.base.darumeru/ruOpenBookQA: {'acc': 0.7371134020618557, 'f1_macro': 0.7358424630320096}
INFO: 2024-10-14 18:20:23,612: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:20:23,613: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:20:26,102: llmtf.base.darumeru/ruWorldTree: Loading Dataset: 2.49s
INFO: 2024-10-14 18:20:30,186: llmtf.base.darumeru/ruWorldTree: Processing Dataset: 4.08s
INFO: 2024-10-14 18:20:30,187: llmtf.base.darumeru/ruWorldTree: Results for darumeru/ruWorldTree:
INFO: 2024-10-14 18:20:30,194: llmtf.base.darumeru/ruWorldTree: {'acc': 0.8666666666666667, 'f1_macro': 0.8654128672745693}
INFO: 2024-10-14 18:20:30,195: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:20:30,196: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:20:34,435: llmtf.base.darumeru/RWSD: Loading Dataset: 4.24s
INFO: 2024-10-14 18:20:44,138: llmtf.base.darumeru/RWSD: Processing Dataset: 9.70s
INFO: 2024-10-14 18:20:44,140: llmtf.base.darumeru/RWSD: Results for darumeru/RWSD:
INFO: 2024-10-14 18:20:44,175: llmtf.base.darumeru/RWSD: {'acc': 0.5686274509803921}
INFO: 2024-10-14 18:20:44,177: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:20:44,177: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:20:59,838: llmtf.base.darumeru/USE: Loading Dataset: 15.66s
INFO: 2024-10-14 18:21:17,184: llmtf.base.darumeru/cp_sent_ru: Processing Dataset: 400.43s
INFO: 2024-10-14 18:21:17,186: llmtf.base.darumeru/cp_sent_ru: Results for darumeru/cp_sent_ru:
INFO: 2024-10-14 18:21:17,209: llmtf.base.darumeru/cp_sent_ru: {'symbol_per_token': 3.959579067863063, 'len': 0.980424354124537, 'lcs': 0.9815195071868583}
INFO: 2024-10-14 18:21:17,212: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:21:17,212: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:21:20,775: llmtf.base.darumeru/cp_sent_en: Loading Dataset: 3.56s
INFO: 2024-10-14 18:26:01,388: llmtf.base.darumeru/ruMMLU: Processing Dataset: 606.76s
INFO: 2024-10-14 18:26:01,391: llmtf.base.darumeru/ruMMLU: Results for darumeru/ruMMLU:
INFO: 2024-10-14 18:26:01,402: llmtf.base.darumeru/ruMMLU: {'acc': 0.5146163823206624}
INFO: 2024-10-14 18:26:01,478: llmtf.base.evaluator: Ended eval
INFO: 2024-10-14 18:26:01,500: llmtf.base.evaluator: 
mean	daru/treewayabstractive	daru/treewayextractive	darumeru/MultiQ	darumeru/PARus	darumeru/RCB	darumeru/RWSD	darumeru/USE	darumeru/cp_para_en	darumeru/cp_para_ru	darumeru/cp_sent_en	darumeru/cp_sent_ru	darumeru/ruMMLU	darumeru/ruOpenBookQA	darumeru/ruWorldTree	nlpcoreteam/enMMLU	nlpcoreteam/ruMMLU	russiannlp/rucola_custom
0.627	0.231	0.415	0.425	0.720	0.507	0.569	0.062	1.000	0.980	0.963	0.980	0.515	0.736	0.866	0.685	0.565	0.434
INFO: 2024-10-14 18:26:07,030: llmtf.base.darumeru/USE: Processing Dataset: 307.19s
INFO: 2024-10-14 18:26:07,033: llmtf.base.darumeru/USE: Results for darumeru/USE:
INFO: 2024-10-14 18:26:07,038: llmtf.base.darumeru/USE: {'grade_norm': 0.054901960784313725}
INFO: 2024-10-14 18:26:07,045: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:26:07,045: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:26:27,701: llmtf.base.russiannlp/rucola_custom: Loading Dataset: 20.66s
INFO: 2024-10-14 18:27:55,196: llmtf.base.russiannlp/rucola_custom: Processing Dataset: 87.49s
INFO: 2024-10-14 18:27:55,199: llmtf.base.russiannlp/rucola_custom: Results for russiannlp/rucola_custom:
INFO: 2024-10-14 18:27:55,212: llmtf.base.russiannlp/rucola_custom: {'acc': 0.5999282382490133, 'mcc': 0.26826918795125926}
INFO: 2024-10-14 18:27:55,223: llmtf.base.evaluator: Ended eval
INFO: 2024-10-14 18:27:55,232: llmtf.base.evaluator: 
mean	daru/treewayabstractive	daru/treewayextractive	darumeru/MultiQ	darumeru/PARus	darumeru/RCB	darumeru/RWSD	darumeru/USE	darumeru/cp_para_en	darumeru/cp_para_ru	darumeru/cp_sent_en	darumeru/cp_sent_ru	darumeru/ruMMLU	darumeru/ruOpenBookQA	darumeru/ruWorldTree	nlpcoreteam/enMMLU	nlpcoreteam/ruMMLU	russiannlp/rucola_custom
0.626	0.231	0.415	0.425	0.720	0.507	0.569	0.055	1.000	0.980	0.963	0.980	0.515	0.736	0.866	0.685	0.565	0.434
INFO: 2024-10-14 18:28:09,184: llmtf.base.darumeru/cp_sent_en: Processing Dataset: 408.41s
INFO: 2024-10-14 18:28:09,186: llmtf.base.darumeru/cp_sent_en: Results for darumeru/cp_sent_en:
INFO: 2024-10-14 18:28:09,192: llmtf.base.darumeru/cp_sent_en: {'symbol_per_token': 4.41667825834814, 'len': 0.9633845897145296, 'lcs': 1.0}
INFO: 2024-10-14 18:28:09,194: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:28:09,195: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:28:12,669: llmtf.base.darumeru/cp_para_ru: Loading Dataset: 3.47s
INFO: 2024-10-14 18:28:38,665: llmtf.base.nlpcoreteam/enMMLU: Processing Dataset: 645.34s
INFO: 2024-10-14 18:28:38,667: llmtf.base.nlpcoreteam/enMMLU: Results for nlpcoreteam/enMMLU:
INFO: 2024-10-14 18:28:38,712: llmtf.base.nlpcoreteam/enMMLU:                                        metric
subject                                      
abstract_algebra                     0.380000
anatomy                              0.592593
astronomy                            0.736842
business_ethics                      0.720000
clinical_knowledge                   0.716981
college_biology                      0.770833
college_chemistry                    0.500000
college_computer_science             0.610000
college_mathematics                  0.410000
college_medicine                     0.676301
college_physics                      0.509804
computer_security                    0.810000
conceptual_physics                   0.638298
econometrics                         0.578947
electrical_engineering               0.675862
elementary_mathematics               0.611111
formal_logic                         0.365079
global_facts                         0.310000
high_school_biology                  0.816129
high_school_chemistry                0.605911
high_school_computer_science         0.750000
high_school_european_history         0.787879
high_school_geography                0.808081
high_school_government_and_politics  0.870466
high_school_macroeconomics           0.712821
high_school_mathematics              0.525926
high_school_microeconomics           0.768908
high_school_physics                  0.443709
high_school_psychology               0.860550
high_school_statistics               0.666667
high_school_us_history               0.852941
high_school_world_history            0.835443
human_aging                          0.721973
human_sexuality                      0.793893
international_law                    0.776860
jurisprudence                        0.787037
logical_fallacies                    0.766871
machine_learning                     0.473214
management                           0.834951
marketing                            0.888889
medical_genetics                     0.790000
miscellaneous                        0.793103
moral_disputes                       0.687861
moral_scenarios                      0.289385
nutrition                            0.748366
philosophy                           0.717042
prehistory                           0.734568
professional_accounting              0.524823
professional_law                     0.475880
professional_medicine                0.661765
professional_psychology              0.689542
public_relations                     0.745455
security_studies                     0.767347
sociology                            0.830846
us_foreign_policy                    0.850000
virology                             0.493976
world_religions                      0.807018
INFO: 2024-10-14 18:28:38,720: llmtf.base.nlpcoreteam/enMMLU:                                    metric
subject                                  
STEM                             0.607461
humanities                       0.683374
other (business, health, misc.)  0.676694
social sciences                  0.773071
INFO: 2024-10-14 18:28:38,732: llmtf.base.nlpcoreteam/enMMLU: {'acc': 0.685150317271941}
INFO: 2024-10-14 18:28:38,801: llmtf.base.evaluator: Ended eval
INFO: 2024-10-14 18:28:38,813: llmtf.base.evaluator: 
mean	daru/treewayabstractive	daru/treewayextractive	darumeru/MultiQ	darumeru/PARus	darumeru/RCB	darumeru/RWSD	darumeru/USE	darumeru/cp_para_en	darumeru/cp_para_ru	darumeru/cp_sent_en	darumeru/cp_sent_ru	darumeru/ruMMLU	darumeru/ruOpenBookQA	darumeru/ruWorldTree	nlpcoreteam/enMMLU	nlpcoreteam/ruMMLU	russiannlp/rucola_custom
0.626	0.231	0.415	0.425	0.720	0.507	0.569	0.055	1.000	0.980	0.963	0.980	0.515	0.736	0.866	0.685	0.565	0.434
INFO: 2024-10-14 18:31:34,379: llmtf.base.nlpcoreteam/ruMMLU: Processing Dataset: 767.40s
INFO: 2024-10-14 18:31:34,382: llmtf.base.nlpcoreteam/ruMMLU: Results for nlpcoreteam/ruMMLU:
INFO: 2024-10-14 18:31:34,428: llmtf.base.nlpcoreteam/ruMMLU:                                        metric
subject                                      
abstract_algebra                     0.340000
anatomy                              0.385185
astronomy                            0.651316
business_ethics                      0.630000
clinical_knowledge                   0.558491
college_biology                      0.534722
college_chemistry                    0.440000
college_computer_science             0.530000
college_mathematics                  0.360000
college_medicine                     0.560694
college_physics                      0.450980
computer_security                    0.670000
conceptual_physics                   0.582979
econometrics                         0.429825
electrical_engineering               0.572414
elementary_mathematics               0.539683
formal_logic                         0.341270
global_facts                         0.320000
high_school_biology                  0.696774
high_school_chemistry                0.512315
high_school_computer_science         0.690000
high_school_european_history         0.715152
high_school_geography                0.757576
high_school_government_and_politics  0.595855
high_school_macroeconomics           0.574359
high_school_mathematics              0.440741
high_school_microeconomics           0.563025
high_school_physics                  0.390728
high_school_psychology               0.695413
high_school_statistics               0.527778
high_school_us_history               0.637255
high_school_world_history            0.687764
human_aging                          0.582960
human_sexuality                      0.625954
international_law                    0.752066
jurisprudence                        0.620370
logical_fallacies                    0.588957
machine_learning                     0.392857
management                           0.669903
marketing                            0.773504
medical_genetics                     0.560000
miscellaneous                        0.604087
moral_disputes                       0.630058
moral_scenarios                      0.220112
nutrition                            0.679739
philosophy                           0.639871
prehistory                           0.577160
professional_accounting              0.361702
professional_law                     0.371578
professional_medicine                0.470588
professional_psychology              0.542484
public_relations                     0.545455
security_studies                     0.661224
sociology                            0.726368
us_foreign_policy                    0.770000
virology                             0.463855
world_religions                      0.678363
INFO: 2024-10-14 18:31:34,436: llmtf.base.nlpcoreteam/ruMMLU:                                    metric
subject                                  
STEM                             0.517960
humanities                       0.573844
other (business, health, misc.)  0.544336
social sciences                  0.623961
INFO: 2024-10-14 18:31:34,444: llmtf.base.nlpcoreteam/ruMMLU: {'acc': 0.5650255790093989}
INFO: 2024-10-14 18:31:34,525: llmtf.base.evaluator: Ended eval
INFO: 2024-10-14 18:31:34,574: llmtf.base.evaluator: 
mean	daru/treewayabstractive	daru/treewayextractive	darumeru/MultiQ	darumeru/PARus	darumeru/RCB	darumeru/RWSD	darumeru/USE	darumeru/cp_para_en	darumeru/cp_para_ru	darumeru/cp_sent_en	darumeru/cp_sent_ru	darumeru/ruMMLU	darumeru/ruOpenBookQA	darumeru/ruWorldTree	nlpcoreteam/enMMLU	nlpcoreteam/ruMMLU	russiannlp/rucola_custom
0.626	0.231	0.415	0.425	0.720	0.507	0.569	0.055	1.000	0.980	0.963	0.980	0.515	0.736	0.866	0.685	0.565	0.434
INFO: 2024-10-14 18:37:06,192: llmtf.base.darumeru/cp_para_ru: Processing Dataset: 533.52s
INFO: 2024-10-14 18:37:06,211: llmtf.base.darumeru/cp_para_ru: Results for darumeru/cp_para_ru:
INFO: 2024-10-14 18:37:06,232: llmtf.base.darumeru/cp_para_ru: {'symbol_per_token': 3.9799773492348676, 'len': 0.9741181435431592, 'lcs': 0.96}
INFO: 2024-10-14 18:37:06,233: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147075, 198, 271]
INFO: 2024-10-14 18:37:06,233: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['\n', '\n\n']
INFO: 2024-10-14 18:37:08,580: llmtf.base.daru/treewayabstractive: Processing Dataset: 1340.71s
INFO: 2024-10-14 18:37:08,584: llmtf.base.daru/treewayabstractive: Results for daru/treewayabstractive:
INFO: 2024-10-14 18:37:08,590: llmtf.base.daru/treewayabstractive: {'rouge1': 0.3325254442550525, 'rouge2': 0.12953796507174228}
INFO: 2024-10-14 18:37:08,596: llmtf.base.evaluator: Ended eval
INFO: 2024-10-14 18:37:08,607: llmtf.base.evaluator: 
mean	daru/treewayabstractive	daru/treewayextractive	darumeru/MultiQ	darumeru/PARus	darumeru/RCB	darumeru/RWSD	darumeru/USE	darumeru/cp_para_en	darumeru/cp_para_ru	darumeru/cp_sent_en	darumeru/cp_sent_ru	darumeru/ruMMLU	darumeru/ruOpenBookQA	darumeru/ruWorldTree	nlpcoreteam/enMMLU	nlpcoreteam/ruMMLU	russiannlp/rucola_custom
0.625	0.231	0.415	0.425	0.720	0.507	0.569	0.055	1.000	0.960	0.963	0.980	0.515	0.736	0.866	0.685	0.565	0.434
INFO: 2024-10-14 18:37:09,536: llmtf.base.darumeru/cp_para_en: Loading Dataset: 3.30s
INFO: 2024-10-14 18:51:43,471: llmtf.base.darumeru/cp_para_en: Processing Dataset: 873.93s
INFO: 2024-10-14 18:51:43,473: llmtf.base.darumeru/cp_para_en: Results for darumeru/cp_para_en:
INFO: 2024-10-14 18:51:43,478: llmtf.base.darumeru/cp_para_en: {'symbol_per_token': 4.435138601612895, 'len': 0.9922018370708586, 'lcs': 1.0}
INFO: 2024-10-14 18:51:43,478: llmtf.base.evaluator: Ended eval
INFO: 2024-10-14 18:51:43,491: llmtf.base.evaluator: 
mean	daru/treewayabstractive	daru/treewayextractive	darumeru/MultiQ	darumeru/PARus	darumeru/RCB	darumeru/RWSD	darumeru/USE	darumeru/cp_para_en	darumeru/cp_para_ru	darumeru/cp_sent_en	darumeru/cp_sent_ru	darumeru/ruMMLU	darumeru/ruOpenBookQA	darumeru/ruWorldTree	nlpcoreteam/enMMLU	nlpcoreteam/ruMMLU	russiannlp/rucola_custom
0.625	0.231	0.415	0.425	0.720	0.507	0.569	0.055	1.000	0.960	0.963	0.980	0.515	0.736	0.866	0.685	0.565	0.434