--- license: apache-2.0 pipeline_tag: text-generation library_name: transformers language: [ 'en', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'eo', 'es', 'et', 'eu', 'fa', 'ff', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gn', 'gu', 'ha', 'he', 'hi', 'hr', 'ht', 'hu', 'hy', 'id', 'ig', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lg', 'li', 'ln', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', 'no', 'ns', 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'qu', 'rm', 'ro', 'ru', 'sa', 'si', 'sc', 'sd', 'sk', 'sl', 'so', 'sq', 'sr', 'ss', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tn', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'wo', 'xh', 'yi', 'yo', 'zu', ] datasets: [ 'xu-song/cc100-samples', 'jordiclive/wikipedia-summary-dataset', 'JeanKaddour/minipile', 'badrex/llm-emoji-dataset', 'fblgit/simple-math', 'Gusarich/math-expressions-1m', 'AtlasUnified/atlas-math-sets', 'gair-prox/open-web-math-pro', 'bigcode/the-stack-smol-xs', 'rombodawg/code_bagel', 'AtlasUnified/Atlas-Reasoning', 'thesven/gsm8k-reasoning', 'AlgorithmicResearchGroup/math_reasoning_autoformalization_track', 'KingNish/reasoning-base-20k', 'SkunkworksAI/reasoning-0.01', 'Magpie-Align/Magpie-Reasoning-150K', ] tags: - litgpt - litdata --- # tangled-llama-a-128k-base-v0.1 ![logo](./misc/logo.png) A pretrained language model based on the Llama model with about **62.9M** parameters. This model has been trained on **10.6B** (`10,630,121,844`) tokens from more than **31.3M** (`31,383,840`) dataset rows. This model **isn't** designed for immediate use but rather for Continued Pretraining and Finetuning on a downstream task. While it can handle a context length of up to **128K** (`131,072`) tokens, it was pretrained with sequences of **2K** (`2048`) tokens. The objective is to streamline the cognitive or reasoning core, eliminating any redundant knowledge from the model. [loss, val_loss](https://api.wandb.ai/links/mtasic85/strnx9rl) [val_ppl](https://api.wandb.ai/links/mtasic85/ljwxf4am) [epoch](https://api.wandb.ai/links/mtasic85/edyph869) [learning_rate](https://api.wandb.ai/links/mtasic85/eswxyger) ## Pretrain Evaluation ### lm-evaluation-harness ```bash litgpt evaluate --tasks 'hellaswag,gsm8k,truthfulqa_mc2,mmlu,winogrande,arc_challenge' --out_dir 'evaluate-quick/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/ ``` | Tasks |Version| Filter |n-shot| Metric | |Value | |Stderr| |---------------------------------------|------:|----------------|-----:|-----------|---|-----:|---|-----:| |arc_challenge | 1|none | 0|acc |↑ |0.2176|± |0.0121| | | |none | 0|acc_norm |↑ |0.2560|± |0.0128| |gsm8k | 3|flexible-extract| 5|exact_match|↑ |0.0190|± |0.0038| | | |strict-match | 5|exact_match|↑ |0.0000|± |0.0000| |hellaswag | 1|none | 0|acc |↑ |0.2618|± |0.0044| | | |none | 0|acc_norm |↑ |0.2592|± |0.0044| |mmlu | 2|none | |acc |↑ |0.2464|± |0.0036| | - humanities | 2|none | |acc |↑ |0.2485|± |0.0063| | - formal_logic | 1|none | 0|acc |↑ |0.3175|± |0.0416| | - high_school_european_history | 1|none | 0|acc |↑ |0.2364|± |0.0332| | - high_school_us_history | 1|none | 0|acc |↑ |0.2402|± |0.0300| | - high_school_world_history | 1|none | 0|acc |↑ |0.2785|± |0.0292| | - international_law | 1|none | 0|acc |↑ |0.2314|± |0.0385| | - jurisprudence | 1|none | 0|acc |↑ |0.2407|± |0.0413| | - logical_fallacies | 1|none | 0|acc |↑ |0.2086|± |0.0319| | - moral_disputes | 1|none | 0|acc |↑ |0.2081|± |0.0219| | - moral_scenarios | 1|none | 0|acc |↑ |0.2693|± |0.0148| | - philosophy | 1|none | 0|acc |↑ |0.1961|± |0.0226| | - prehistory | 1|none | 0|acc |↑ |0.2284|± |0.0234| | - professional_law | 1|none | 0|acc |↑ |0.2529|± |0.0111| | - world_religions | 1|none | 0|acc |↑ |0.2982|± |0.0351| | - other | 2|none | |acc |↑ |0.2536|± |0.0078| | - business_ethics | 1|none | 0|acc |↑ |0.2700|± |0.0446| | - clinical_knowledge | 1|none | 0|acc |↑ |0.2264|± |0.0258| | - college_medicine | 1|none | 0|acc |↑ |0.2312|± |0.0321| | - global_facts | 1|none | 0|acc |↑ |0.1500|± |0.0359| | - human_aging | 1|none | 0|acc |↑ |0.2242|± |0.0280| | - management | 1|none | 0|acc |↑ |0.1942|± |0.0392| | - marketing | 1|none | 0|acc |↑ |0.3034|± |0.0301| | - medical_genetics | 1|none | 0|acc |↑ |0.2200|± |0.0416| | - miscellaneous | 1|none | 0|acc |↑ |0.2401|± |0.0153| | - nutrition | 1|none | 0|acc |↑ |0.2255|± |0.0239| | - professional_accounting | 1|none | 0|acc |↑ |0.2730|± |0.0266| | - professional_medicine | 1|none | 0|acc |↑ |0.4081|± |0.0299| | - virology | 1|none | 0|acc |↑ |0.2289|± |0.0327| | - social sciences | 2|none | |acc |↑ |0.2535|± |0.0079| | - econometrics | 1|none | 0|acc |↑ |0.2368|± |0.0400| | - high_school_geography | 1|none | 0|acc |↑ |0.2323|± |0.0301| | - high_school_government_and_politics| 1|none | 0|acc |↑ |0.2539|± |0.0314| | - high_school_macroeconomics | 1|none | 0|acc |↑ |0.2436|± |0.0218| | - high_school_microeconomics | 1|none | 0|acc |↑ |0.2311|± |0.0274| | - high_school_psychology | 1|none | 0|acc |↑ |0.2550|± |0.0187| | - human_sexuality | 1|none | 0|acc |↑ |0.2824|± |0.0395| | - professional_psychology | 1|none | 0|acc |↑ |0.2484|± |0.0175| | - public_relations | 1|none | 0|acc |↑ |0.2727|± |0.0427| | - security_studies | 1|none | 0|acc |↑ |0.2939|± |0.0292| | - sociology | 1|none | 0|acc |↑ |0.2488|± |0.0306| | - us_foreign_policy | 1|none | 0|acc |↑ |0.2800|± |0.0451| | - stem | 2|none | |acc |↑ |0.2293|± |0.0075| | - abstract_algebra | 1|none | 0|acc |↑ |0.2200|± |0.0416| | - anatomy | 1|none | 0|acc |↑ |0.2519|± |0.0375| | - astronomy | 1|none | 0|acc |↑ |0.2697|± |0.0361| | - college_biology | 1|none | 0|acc |↑ |0.2500|± |0.0362| | - college_chemistry | 1|none | 0|acc |↑ |0.2400|± |0.0429| | - college_computer_science | 1|none | 0|acc |↑ |0.2800|± |0.0451| | - college_mathematics | 1|none | 0|acc |↑ |0.2000|± |0.0402| | - college_physics | 1|none | 0|acc |↑ |0.2647|± |0.0439| | - computer_security | 1|none | 0|acc |↑ |0.1900|± |0.0394| | - conceptual_physics | 1|none | 0|acc |↑ |0.2340|± |0.0277| | - electrical_engineering | 1|none | 0|acc |↑ |0.2414|± |0.0357| | - elementary_mathematics | 1|none | 0|acc |↑ |0.1931|± |0.0203| | - high_school_biology | 1|none | 0|acc |↑ |0.2323|± |0.0240| | - high_school_chemistry | 1|none | 0|acc |↑ |0.2266|± |0.0295| | - high_school_computer_science | 1|none | 0|acc |↑ |0.2400|± |0.0429| | - high_school_mathematics | 1|none | 0|acc |↑ |0.2037|± |0.0246| | - high_school_physics | 1|none | 0|acc |↑ |0.2185|± |0.0337| | - high_school_statistics | 1|none | 0|acc |↑ |0.1898|± |0.0267| | - machine_learning | 1|none | 0|acc |↑ |0.3393|± |0.0449| |truthfulqa_mc2 | 2|none | 0|acc |↑ |0.5061|± |0.0167| |winogrande | 1|none | 0|acc |↑ |0.4933|± |0.0141| | Groups |Version|Filter|n-shot|Metric| |Value | |Stderr| |------------------|------:|------|------|------|---|-----:|---|-----:| |mmlu | 2|none | |acc |↑ |0.2464|± |0.0036| | - humanities | 2|none | |acc |↑ |0.2485|± |0.0063| | - other | 2|none | |acc |↑ |0.2536|± |0.0078| | - social sciences| 2|none | |acc |↑ |0.2535|± |0.0079| | - stem | 2|none | |acc |↑ |0.2293|± |0.0075| ```bash litgpt evaluate --tasks 'leaderboard' --out_dir 'evaluate-leaderboard/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/ ``` | Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr| |-----------------------------------------------------------|-------|------|-----:|-----------------------|---|-----:|---|------| |leaderboard | N/A| | | | | | | | | - leaderboard_bbh | N/A| | | | | | | | | - leaderboard_bbh_boolean_expressions | 1|none | 3|acc_norm |↑ |0.4600|± |0.0316| | - leaderboard_bbh_causal_judgement | 1|none | 3|acc_norm |↑ |0.5134|± |0.0366| | - leaderboard_bbh_date_understanding | 1|none | 3|acc_norm |↑ |0.1360|± |0.0217| | - leaderboard_bbh_disambiguation_qa | 1|none | 3|acc_norm |↑ |0.2960|± |0.0289| | - leaderboard_bbh_formal_fallacies | 1|none | 3|acc_norm |↑ |0.4760|± |0.0316| | - leaderboard_bbh_geometric_shapes | 1|none | 3|acc_norm |↑ |0.0800|± |0.0172| | - leaderboard_bbh_hyperbaton | 1|none | 3|acc_norm |↑ |0.5120|± |0.0317| | - leaderboard_bbh_logical_deduction_five_objects | 1|none | 3|acc_norm |↑ |0.1760|± |0.0241| | - leaderboard_bbh_logical_deduction_seven_objects | 1|none | 3|acc_norm |↑ |0.1320|± |0.0215| | - leaderboard_bbh_logical_deduction_three_objects | 1|none | 3|acc_norm |↑ |0.3160|± |0.0295| | - leaderboard_bbh_movie_recommendation | 1|none | 3|acc_norm |↑ |0.2480|± |0.0274| | - leaderboard_bbh_navigate | 1|none | 3|acc_norm |↑ |0.4200|± |0.0313| | - leaderboard_bbh_object_counting | 1|none | 3|acc_norm |↑ |0.0360|± |0.0118| | - leaderboard_bbh_penguins_in_a_table | 1|none | 3|acc_norm |↑ |0.1986|± |0.0331| | - leaderboard_bbh_reasoning_about_colored_objects | 1|none | 3|acc_norm |↑ |0.0520|± |0.0141| | - leaderboard_bbh_ruin_names | 1|none | 3|acc_norm |↑ |0.2760|± |0.0283| | - leaderboard_bbh_salient_translation_error_detection | 1|none | 3|acc_norm |↑ |0.1400|± |0.0220| | - leaderboard_bbh_snarks | 1|none | 3|acc_norm |↑ |0.4326|± |0.0372| | - leaderboard_bbh_sports_understanding | 1|none | 3|acc_norm |↑ |0.4600|± |0.0316| | - leaderboard_bbh_temporal_sequences | 1|none | 3|acc_norm |↑ |0.2680|± |0.0281| | - leaderboard_bbh_tracking_shuffled_objects_five_objects | 1|none | 3|acc_norm |↑ |0.2040|± |0.0255| | - leaderboard_bbh_tracking_shuffled_objects_seven_objects| 1|none | 3|acc_norm |↑ |0.1640|± |0.0235| | - leaderboard_bbh_tracking_shuffled_objects_three_objects| 1|none | 3|acc_norm |↑ |0.3840|± |0.0308| | - leaderboard_bbh_web_of_lies | 1|none | 3|acc_norm |↑ |0.4880|± |0.0317| | - leaderboard_gpqa | N/A| | | | | | | | | - leaderboard_gpqa_diamond | 1|none | 0|acc_norm |↑ |0.2778|± |0.0319| | - leaderboard_gpqa_extended | 1|none | 0|acc_norm |↑ |0.2766|± |0.0192| | - leaderboard_gpqa_main | 1|none | 0|acc_norm |↑ |0.2031|± |0.0190| | - leaderboard_ifeval | 3|none | 0|inst_level_loose_acc |↑ |0.1811|± | N/A| | | |none | 0|inst_level_strict_acc |↑ |0.1715|± | N/A| | | |none | 0|prompt_level_loose_acc |↑ |0.1091|± |0.0134| | | |none | 0|prompt_level_strict_acc|↑ |0.1035|± |0.0131| | - leaderboard_math_hard | N/A| | | | | | | | | - leaderboard_math_algebra_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0| | - leaderboard_math_counting_and_prob_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0| | - leaderboard_math_geometry_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0| | - leaderboard_math_intermediate_algebra_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0| | - leaderboard_math_num_theory_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0| | - leaderboard_math_prealgebra_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0| | - leaderboard_math_precalculus_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0| | - leaderboard_mmlu_pro | 0.1|none | 5|acc |↑ |0.1169|± |0.0029| | - leaderboard_musr | N/A| | | | | | | | | - leaderboard_musr_murder_mysteries | 1|none | 0|acc_norm |↑ |0.5080|± |0.0317| | - leaderboard_musr_object_placements | 1|none | 0|acc_norm |↑ |0.3008|± |0.0287| | - leaderboard_musr_team_allocation | 1|none | 0|acc_norm |↑ |0.3760|± |0.0307| ```bash litgpt evaluate --tasks 'gsm8k,mathqa' --out_dir 'evaluate-math/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/ ``` |Tasks |Version| Filter |n-shot| Metric | |Value | |Stderr| |------|------:|----------------|-----:|-----------|---|-----:|---|-----:| |gsm8k | 3|flexible-extract| 5|exact_match|↑ |0.0190|± |0.0038| | | |strict-match | 5|exact_match|↑ |0.0000|± |0.0000| |mathqa| 1|none | 0|acc |↑ |0.2060|± |0.0074| | | |none | 0|acc_norm |↑ |0.2057|± |0.0074| ```bash litgpt evaluate --tasks 'mmlu,mmlu_pro' --out_dir 'evaluate-mmlu/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/ ``` | Tasks |Version| Filter |n-shot| Metric | |Value | |Stderr| |---------------------------------------|------:|--------------|-----:|-----------|---|-----:|---|-----:| |mmlu | 2|none | |acc |↑ |0.2459|± |0.0036| | - humanities | 2|none | |acc |↑ |0.2480|± |0.0063| | - formal_logic | 1|none | 0|acc |↑ |0.3175|± |0.0416| | - high_school_european_history | 1|none | 0|acc |↑ |0.2424|± |0.0335| | - high_school_us_history | 1|none | 0|acc |↑ |0.2402|± |0.0300| | - high_school_world_history | 1|none | 0|acc |↑ |0.2743|± |0.0290| | - international_law | 1|none | 0|acc |↑ |0.2314|± |0.0385| | - jurisprudence | 1|none | 0|acc |↑ |0.2315|± |0.0408| | - logical_fallacies | 1|none | 0|acc |↑ |0.2209|± |0.0326| | - moral_disputes | 1|none | 0|acc |↑ |0.2081|± |0.0219| | - moral_scenarios | 1|none | 0|acc |↑ |0.2670|± |0.0148| | - philosophy | 1|none | 0|acc |↑ |0.2090|± |0.0231| | - prehistory | 1|none | 0|acc |↑ |0.2160|± |0.0229| | - professional_law | 1|none | 0|acc |↑ |0.2516|± |0.0111| | - world_religions | 1|none | 0|acc |↑ |0.3041|± |0.0353| | - other | 2|none | |acc |↑ |0.2549|± |0.0078| | - business_ethics | 1|none | 0|acc |↑ |0.2700|± |0.0446| | - clinical_knowledge | 1|none | 0|acc |↑ |0.2264|± |0.0258| | - college_medicine | 1|none | 0|acc |↑ |0.2428|± |0.0327| | - global_facts | 1|none | 0|acc |↑ |0.1600|± |0.0368| | - human_aging | 1|none | 0|acc |↑ |0.2242|± |0.0280| | - management | 1|none | 0|acc |↑ |0.1845|± |0.0384| | - marketing | 1|none | 0|acc |↑ |0.2949|± |0.0299| | - medical_genetics | 1|none | 0|acc |↑ |0.2200|± |0.0416| | - miscellaneous | 1|none | 0|acc |↑ |0.2478|± |0.0154| | - nutrition | 1|none | 0|acc |↑ |0.2353|± |0.0243| | - professional_accounting | 1|none | 0|acc |↑ |0.2553|± |0.0260| | - professional_medicine | 1|none | 0|acc |↑ |0.4118|± |0.0299| | - virology | 1|none | 0|acc |↑ |0.2229|± |0.0324| | - social sciences | 2|none | |acc |↑ |0.2525|± |0.0078| | - econometrics | 1|none | 0|acc |↑ |0.2368|± |0.0400| | - high_school_geography | 1|none | 0|acc |↑ |0.2172|± |0.0294| | - high_school_government_and_politics| 1|none | 0|acc |↑ |0.2539|± |0.0314| | - high_school_macroeconomics | 1|none | 0|acc |↑ |0.2410|± |0.0217| | - high_school_microeconomics | 1|none | 0|acc |↑ |0.2311|± |0.0274| | - high_school_psychology | 1|none | 0|acc |↑ |0.2495|± |0.0186| | - human_sexuality | 1|none | 0|acc |↑ |0.2824|± |0.0395| | - professional_psychology | 1|none | 0|acc |↑ |0.2565|± |0.0177| | - public_relations | 1|none | 0|acc |↑ |0.2636|± |0.0422| | - security_studies | 1|none | 0|acc |↑ |0.2898|± |0.0290| | - sociology | 1|none | 0|acc |↑ |0.2537|± |0.0308| | - us_foreign_policy | 1|none | 0|acc |↑ |0.2800|± |0.0451| | - stem | 2|none | |acc |↑ |0.2274|± |0.0075| | - abstract_algebra | 1|none | 0|acc |↑ |0.2200|± |0.0416| | - anatomy | 1|none | 0|acc |↑ |0.2444|± |0.0371| | - astronomy | 1|none | 0|acc |↑ |0.2697|± |0.0361| | - college_biology | 1|none | 0|acc |↑ |0.2500|± |0.0362| | - college_chemistry | 1|none | 0|acc |↑ |0.2100|± |0.0409| | - college_computer_science | 1|none | 0|acc |↑ |0.2800|± |0.0451| | - college_mathematics | 1|none | 0|acc |↑ |0.1900|± |0.0394| | - college_physics | 1|none | 0|acc |↑ |0.2549|± |0.0434| | - computer_security | 1|none | 0|acc |↑ |0.1900|± |0.0394| | - conceptual_physics | 1|none | 0|acc |↑ |0.2298|± |0.0275| | - electrical_engineering | 1|none | 0|acc |↑ |0.2483|± |0.0360| | - elementary_mathematics | 1|none | 0|acc |↑ |0.1931|± |0.0203| | - high_school_biology | 1|none | 0|acc |↑ |0.2258|± |0.0238| | - high_school_chemistry | 1|none | 0|acc |↑ |0.2217|± |0.0292| | - high_school_computer_science | 1|none | 0|acc |↑ |0.2400|± |0.0429| | - high_school_mathematics | 1|none | 0|acc |↑ |0.2074|± |0.0247| | - high_school_physics | 1|none | 0|acc |↑ |0.2185|± |0.0337| | - high_school_statistics | 1|none | 0|acc |↑ |0.1991|± |0.0272| | - machine_learning | 1|none | 0|acc |↑ |0.3393|± |0.0449| |mmlu_pro | 2|custom-extract| |exact_match|↑ |0.0000|± |0.0000| | - biology | 1|custom-extract| 5|exact_match|↑ |0.0000|± |0.0000| | - business | 1|custom-extract| 5|exact_match|↑ |0.0000|± |0.0000| | - chemistry | 1|custom-extract| 5|exact_match|↑ |0.0000|± |0.0000| | - computer_science | 1|custom-extract| 5|exact_match|↑ |0.0000|± |0.0000| | - economics | 1|custom-extract| 5|exact_match|↑ |0.0000|± |0.0000| | - engineering | 1|custom-extract| 5|exact_match|↑ |0.0000|± |0.0000| | - health | 1|custom-extract| 5|exact_match|↑ |0.0000|± |0.0000| | - history | 1|custom-extract| 5|exact_match|↑ |0.0000|± |0.0000| | - law | 1|custom-extract| 5|exact_match|↑ |0.0000|± |0.0000| | - math | 1|custom-extract| 5|exact_match|↑ |0.0000|± |0.0000| | - other | 1|custom-extract| 5|exact_match|↑ |0.0000|± |0.0000| | - philosophy | 1|custom-extract| 5|exact_match|↑ |0.0000|± |0.0000| | - physics | 1|custom-extract| 5|exact_match|↑ |0.0000|± |0.0000| | - psychology | 1|custom-extract| 5|exact_match|↑ |0.0000|± |0.0000| | Groups |Version| Filter |n-shot| Metric | |Value | |Stderr| |------------------|------:|--------------|------|-----------|---|-----:|---|-----:| |mmlu | 2|none | |acc |↑ |0.2459|± |0.0036| | - humanities | 2|none | |acc |↑ |0.2480|± |0.0063| | - other | 2|none | |acc |↑ |0.2549|± |0.0078| | - social sciences| 2|none | |acc |↑ |0.2525|± |0.0078| | - stem | 2|none | |acc |↑ |0.2274|± |0.0075| |mmlu_pro | 2|custom-extract| |exact_match|↑ |0.0000|± |0.0000| ```bash litgpt evaluate --tasks 'arc_challenge,boolq,gpqa,hellaswag,openbookqa,piqa,truthfulqa_mc2,winogrande' --out_dir 'evaluate-reasoning/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/ ``` | Tasks |Version| Filter |n-shot| Metric | |Value | |Stderr| |-------------------------------|------:|----------------|-----:|-----------|---|-----:|---|-----:| |arc_challenge | 1|none | 0|acc |↑ |0.2176|± |0.0121| | | |none | 0|acc_norm |↑ |0.2560|± |0.0128| |boolq | 2|none | 0|acc |↑ |0.3783|± |0.0085| |gpqa_diamond_cot_n_shot | 2|flexible-extract| 0|exact_match|↑ |0.0051|± |0.0051| | | |strict-match | 0|exact_match|↑ |0.0000|± |0.0000| |gpqa_diamond_cot_zeroshot | 1|flexible-extract| 0|exact_match|↑ |0.0051|± |0.0051| | | |strict-match | 0|exact_match|↑ |0.0000|± |0.0000| |gpqa_diamond_generative_n_shot | 2|flexible-extract| 0|exact_match|↑ |0.0051|± |0.0051| | | |strict-match | 0|exact_match|↑ |0.0000|± |0.0000| |gpqa_diamond_n_shot | 2|none | 0|acc |↑ |0.1970|± |0.0283| | | |none | 0|acc_norm |↑ |0.1970|± |0.0283| |gpqa_diamond_zeroshot | 1|none | 0|acc |↑ |0.2727|± |0.0317| | | |none | 0|acc_norm |↑ |0.2727|± |0.0317| |gpqa_extended_cot_n_shot | 2|flexible-extract| 0|exact_match|↑ |0.0018|± |0.0018| | | |strict-match | 0|exact_match|↑ |0.0000|± |0.0000| |gpqa_extended_cot_zeroshot | 1|flexible-extract| 0|exact_match|↑ |0.0037|± |0.0026| | | |strict-match | 0|exact_match|↑ |0.0000|± |0.0000| |gpqa_extended_generative_n_shot| 2|flexible-extract| 0|exact_match|↑ |0.0073|± |0.0037| | | |strict-match | 0|exact_match|↑ |0.0000|± |0.0000| |gpqa_extended_n_shot | 2|none | 0|acc |↑ |0.2564|± |0.0187| | | |none | 0|acc_norm |↑ |0.2564|± |0.0187| |gpqa_extended_zeroshot | 1|none | 0|acc |↑ |0.2802|± |0.0192| | | |none | 0|acc_norm |↑ |0.2802|± |0.0192| |gpqa_main_cot_n_shot | 2|flexible-extract| 0|exact_match|↑ |0.0000|± |0.0000| | | |strict-match | 0|exact_match|↑ |0.0000|± |0.0000| |gpqa_main_cot_zeroshot | 1|flexible-extract| 0|exact_match|↑ |0.0000|± |0.0000| | | |strict-match | 0|exact_match|↑ |0.0000|± |0.0000| |gpqa_main_generative_n_shot | 2|flexible-extract| 0|exact_match|↑ |0.0089|± |0.0044| | | |strict-match | 0|exact_match|↑ |0.0000|± |0.0000| |gpqa_main_n_shot | 2|none | 0|acc |↑ |0.2478|± |0.0204| | | |none | 0|acc_norm |↑ |0.2478|± |0.0204| |gpqa_main_zeroshot | 1|none | 0|acc |↑ |0.2143|± |0.0194| | | |none | 0|acc_norm |↑ |0.2143|± |0.0194| |hellaswag | 1|none | 0|acc |↑ |0.2618|± |0.0044| | | |none | 0|acc_norm |↑ |0.2592|± |0.0044| |openbookqa | 1|none | 0|acc |↑ |0.1340|± |0.0152| | | |none | 0|acc_norm |↑ |0.2340|± |0.0190| |piqa | 1|none | 0|acc |↑ |0.5201|± |0.0117| | | |none | 0|acc_norm |↑ |0.5076|± |0.0117| |truthfulqa_mc2 | 2|none | 0|acc |↑ |0.5061|± |0.0167| |winogrande | 1|none | 0|acc |↑ |0.4933|± |0.0141| ```bash litgpt evaluate --tasks 'wikitext,qasper' --out_dir 'evaluate-long/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/ ``` | Tasks |Version|Filter|n-shot| Metric | | Value | |Stderr| |---------------|------:|------|-----:|---------------|---|---------:|---|------| |qasper_bool | 1|none | 0|f1 |↑ | 0.0000|± | 0| |qasper_freeform| 2|none | 0|f1_abstractive |↑ | 0.0036|± | 0.001| |wikitext | 2|none | 0|bits_per_byte |↓ | 3.0634|± | N/A| | | |none | 0|byte_perplexity|↓ | 8.3596|± | N/A| | | |none | 0|word_perplexity|↓ |85375.3002|± | N/A|