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--- |
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license: apache-2.0 |
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pipeline_tag: text-generation |
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library_name: transformers |
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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'] |
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datasets: [ |
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'bigcode/programming-languages-keywords', |
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'bigcode/the-stack-smol-xs', |
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'nampdn-ai/tiny-textbooks', |
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'xu-song/cc100-samples', |
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'm-a-p/CodeFeedback-Filtered-Instruction', |
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'nampdn-ai/tiny-codes', |
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'ajibawa-2023/Maths-College', |
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'microsoft/orca-math-word-problems-200k', |
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'mlabonne/FineTome-100k', |
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'arcee-ai/agent-data', |
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'cognitivecomputations/SystemChat-2.0', |
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'badrex/llm-emoji-dataset', |
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] |
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tags: |
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- litgpt |
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- litdata |
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--- |
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# tangled-llama-33m-32k-base-v0.1 |
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A pretrained language model based on the Llama model with about **33M** parameters. This model has been trained on **9.7B** (`9,782,206,713`) tokens from more than **5.2M** (`5,285,575`) dataset rows. |
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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 **32K** (`32,768`) tokens, it was pretrained with sequences of **2K** (`2048`) tokens. |
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The objective is to streamline the cognitive or reasoning core, eliminating any redundant knowledge from the model. |
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[loss, val_loss](https://api.wandb.ai/links/mtasic85/z591qpyv) |
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[val_ppl](https://api.wandb.ai/links/mtasic85/lku5hbws) |
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[epoch](https://api.wandb.ai/links/mtasic85/91e4cgdw) |
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[learning_rate](https://api.wandb.ai/links/mtasic85/y0cvoagd) |
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## lm-evaluation-harness |
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```bash |
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litgpt evaluate --tasks 'leaderboard' --out_dir 'evaluate-0/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/ |
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``` |
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| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr| |
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|-----------------------------------------------------------|-------|------|-----:|-----------------------|---|-----:|---|------| |
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|leaderboard | N/A| | | | | | | | |
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| - leaderboard_bbh | N/A| | | | | | | | |
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| - leaderboard_bbh_boolean_expressions | 1|none | 3|acc_norm |↑ |0.4600|± |0.0316| |
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| - leaderboard_bbh_causal_judgement | 1|none | 3|acc_norm |↑ |0.5187|± |0.0366| |
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| - leaderboard_bbh_date_understanding | 1|none | 3|acc_norm |↑ |0.1600|± |0.0232| |
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| - leaderboard_bbh_disambiguation_qa | 1|none | 3|acc_norm |↑ |0.3000|± |0.0290| |
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| - leaderboard_bbh_formal_fallacies | 1|none | 3|acc_norm |↑ |0.4680|± |0.0316| |
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| - leaderboard_bbh_geometric_shapes | 1|none | 3|acc_norm |↑ |0.0400|± |0.0124| |
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| - leaderboard_bbh_hyperbaton | 1|none | 3|acc_norm |↑ |0.5240|± |0.0316| |
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| - leaderboard_bbh_logical_deduction_five_objects | 1|none | 3|acc_norm |↑ |0.2240|± |0.0264| |
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| - leaderboard_bbh_logical_deduction_seven_objects | 1|none | 3|acc_norm |↑ |0.1480|± |0.0225| |
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| - leaderboard_bbh_logical_deduction_three_objects | 1|none | 3|acc_norm |↑ |0.3160|± |0.0295| |
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| - leaderboard_bbh_movie_recommendation | 1|none | 3|acc_norm |↑ |0.2560|± |0.0277| |
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| - leaderboard_bbh_navigate | 1|none | 3|acc_norm |↑ |0.4200|± |0.0313| |
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| - leaderboard_bbh_object_counting | 1|none | 3|acc_norm |↑ |0.0680|± |0.0160| |
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| - leaderboard_bbh_penguins_in_a_table | 1|none | 3|acc_norm |↑ |0.1918|± |0.0327| |
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| - leaderboard_bbh_reasoning_about_colored_objects | 1|none | 3|acc_norm |↑ |0.1160|± |0.0203| |
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| - leaderboard_bbh_ruin_names | 1|none | 3|acc_norm |↑ |0.2000|± |0.0253| |
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| - leaderboard_bbh_salient_translation_error_detection | 1|none | 3|acc_norm |↑ |0.1320|± |0.0215| |
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| - leaderboard_bbh_snarks | 1|none | 3|acc_norm |↑ |0.4719|± |0.0375| |
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| - leaderboard_bbh_sports_understanding | 1|none | 3|acc_norm |↑ |0.4600|± |0.0316| |
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| - leaderboard_bbh_temporal_sequences | 1|none | 3|acc_norm |↑ |0.2880|± |0.0287| |
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| - leaderboard_bbh_tracking_shuffled_objects_five_objects | 1|none | 3|acc_norm |↑ |0.1880|± |0.0248| |
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| - leaderboard_bbh_tracking_shuffled_objects_seven_objects| 1|none | 3|acc_norm |↑ |0.1280|± |0.0212| |
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| - leaderboard_bbh_tracking_shuffled_objects_three_objects| 1|none | 3|acc_norm |↑ |0.3040|± |0.0292| |
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| - leaderboard_bbh_web_of_lies | 1|none | 3|acc_norm |↑ |0.4880|± |0.0317| |
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| - leaderboard_gpqa | N/A| | | | | | | | |
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| - leaderboard_gpqa_diamond | 1|none | 0|acc_norm |↑ |0.2222|± |0.0296| |
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| - leaderboard_gpqa_extended | 1|none | 0|acc_norm |↑ |0.2381|± |0.0182| |
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| - leaderboard_gpqa_main | 1|none | 0|acc_norm |↑ |0.2478|± |0.0204| |
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| - leaderboard_ifeval | 3|none | 0|inst_level_loose_acc |↑ |0.1859|± | N/A| |
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| | |none | 0|inst_level_strict_acc |↑ |0.1811|± | N/A| |
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| | |none | 0|prompt_level_loose_acc |↑ |0.0906|± |0.0124| |
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| | |none | 0|prompt_level_strict_acc|↑ |0.0832|± |0.0119| |
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| - leaderboard_math_hard | N/A| | | | | | | | |
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| - leaderboard_math_algebra_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0| |
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| - leaderboard_math_counting_and_prob_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0| |
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| - leaderboard_math_geometry_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0| |
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| - leaderboard_math_intermediate_algebra_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0| |
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| - leaderboard_math_num_theory_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0| |
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| - leaderboard_math_prealgebra_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0| |
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| - leaderboard_math_precalculus_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0| |
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| - leaderboard_mmlu_pro | 0.1|none | 5|acc |↑ |0.1100|± |0.0029| |
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| - leaderboard_musr | N/A| | | | | | | | |
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| - leaderboard_musr_murder_mysteries | 1|none | 0|acc_norm |↑ |0.5000|± |0.0317| |
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| - leaderboard_musr_object_placements | 1|none | 0|acc_norm |↑ |0.2930|± |0.0285| |
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| - leaderboard_musr_team_allocation | 1|none | 0|acc_norm |↑ |0.3720|± |0.0306| |
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```bash |
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litgpt evaluate --tasks 'hellaswag,gsm8k,truthfulqa_mc2,mmlu,winogrande,arc_challenge' --out_dir 'evaluate-1/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/ |
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``` |
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| Tasks |Version| Filter |n-shot| Metric | |Value | |Stderr| |
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|---------------------------------------|------:|----------------|-----:|-----------|---|-----:|---|-----:| |
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|arc_challenge | 1|none | 0|acc |↑ |0.2048|± |0.0118| |
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| | |none | 0|acc_norm |↑ |0.2372|± |0.0124| |
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|gsm8k | 3|flexible-extract| 5|exact_match|↑ |0.0091|± |0.0026| |
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| | |strict-match | 5|exact_match|↑ |0.0000|± |0.0000| |
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|hellaswag | 1|none | 0|acc |↑ |0.2613|± |0.0044| |
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| | |none | 0|acc_norm |↑ |0.2605|± |0.0044| |
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|mmlu | 2|none | |acc |↑ |0.2280|± |0.0035| |
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| - humanities | 2|none | |acc |↑ |0.2366|± |0.0062| |
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| - formal_logic | 1|none | 0|acc |↑ |0.2778|± |0.0401| |
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| - high_school_european_history | 1|none | 0|acc |↑ |0.2061|± |0.0316| |
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| - high_school_us_history | 1|none | 0|acc |↑ |0.2402|± |0.0300| |
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| - high_school_world_history | 1|none | 0|acc |↑ |0.2827|± |0.0293| |
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| - international_law | 1|none | 0|acc |↑ |0.2149|± |0.0375| |
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| - jurisprudence | 1|none | 0|acc |↑ |0.2315|± |0.0408| |
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| - logical_fallacies | 1|none | 0|acc |↑ |0.2209|± |0.0326| |
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| - moral_disputes | 1|none | 0|acc |↑ |0.2370|± |0.0229| |
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| - moral_scenarios | 1|none | 0|acc |↑ |0.2380|± |0.0142| |
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| - philosophy | 1|none | 0|acc |↑ |0.1833|± |0.0220| |
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| - prehistory | 1|none | 0|acc |↑ |0.2191|± |0.0230| |
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| - professional_law | 1|none | 0|acc |↑ |0.2360|± |0.0108| |
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| - world_religions | 1|none | 0|acc |↑ |0.3275|± |0.0360| |
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| - other | 2|none | |acc |↑ |0.2485|± |0.0077| |
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| - business_ethics | 1|none | 0|acc |↑ |0.3100|± |0.0465| |
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| - clinical_knowledge | 1|none | 0|acc |↑ |0.2226|± |0.0256| |
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| - college_medicine | 1|none | 0|acc |↑ |0.2486|± |0.0330| |
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| - global_facts | 1|none | 0|acc |↑ |0.1700|± |0.0378| |
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| - human_aging | 1|none | 0|acc |↑ |0.3229|± |0.0314| |
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| - management | 1|none | 0|acc |↑ |0.1748|± |0.0376| |
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| - marketing | 1|none | 0|acc |↑ |0.3034|± |0.0301| |
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| - medical_genetics | 1|none | 0|acc |↑ |0.3100|± |0.0465| |
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| - miscellaneous | 1|none | 0|acc |↑ |0.2414|± |0.0153| |
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| - nutrition | 1|none | 0|acc |↑ |0.2484|± |0.0247| |
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| - professional_accounting | 1|none | 0|acc |↑ |0.2411|± |0.0255| |
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| - professional_medicine | 1|none | 0|acc |↑ |0.1838|± |0.0235| |
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| - virology | 1|none | 0|acc |↑ |0.2831|± |0.0351| |
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| - social sciences | 2|none | |acc |↑ |0.2158|± |0.0074| |
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| - econometrics | 1|none | 0|acc |↑ |0.2368|± |0.0400| |
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| - high_school_geography | 1|none | 0|acc |↑ |0.1768|± |0.0272| |
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| - high_school_government_and_politics| 1|none | 0|acc |↑ |0.1969|± |0.0287| |
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| - high_school_macroeconomics | 1|none | 0|acc |↑ |0.2103|± |0.0207| |
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| - high_school_microeconomics | 1|none | 0|acc |↑ |0.2143|± |0.0267| |
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| - high_school_psychology | 1|none | 0|acc |↑ |0.1890|± |0.0168| |
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| - human_sexuality | 1|none | 0|acc |↑ |0.2672|± |0.0388| |
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| - professional_psychology | 1|none | 0|acc |↑ |0.2451|± |0.0174| |
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| - public_relations | 1|none | 0|acc |↑ |0.2091|± |0.0390| |
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| - security_studies | 1|none | 0|acc |↑ |0.1755|± |0.0244| |
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| - sociology | 1|none | 0|acc |↑ |0.2488|± |0.0306| |
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| - us_foreign_policy | 1|none | 0|acc |↑ |0.2700|± |0.0446| |
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| - stem | 2|none | |acc |↑ |0.2068|± |0.0072| |
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| - abstract_algebra | 1|none | 0|acc |↑ |0.1700|± |0.0378| |
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| - anatomy | 1|none | 0|acc |↑ |0.1778|± |0.0330| |
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| - astronomy | 1|none | 0|acc |↑ |0.1842|± |0.0315| |
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| - college_biology | 1|none | 0|acc |↑ |0.2569|± |0.0365| |
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| - college_chemistry | 1|none | 0|acc |↑ |0.1900|± |0.0394| |
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| - college_computer_science | 1|none | 0|acc |↑ |0.2600|± |0.0441| |
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| - college_mathematics | 1|none | 0|acc |↑ |0.2100|± |0.0409| |
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| - college_physics | 1|none | 0|acc |↑ |0.2059|± |0.0402| |
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| - computer_security | 1|none | 0|acc |↑ |0.2400|± |0.0429| |
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| - conceptual_physics | 1|none | 0|acc |↑ |0.2681|± |0.0290| |
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| - electrical_engineering | 1|none | 0|acc |↑ |0.2345|± |0.0353| |
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| - elementary_mathematics | 1|none | 0|acc |↑ |0.2011|± |0.0206| |
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| - high_school_biology | 1|none | 0|acc |↑ |0.1839|± |0.0220| |
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| - high_school_chemistry | 1|none | 0|acc |↑ |0.1527|± |0.0253| |
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| - high_school_computer_science | 1|none | 0|acc |↑ |0.2400|± |0.0429| |
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| - high_school_mathematics | 1|none | 0|acc |↑ |0.2111|± |0.0249| |
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| - high_school_physics | 1|none | 0|acc |↑ |0.1722|± |0.0308| |
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| - high_school_statistics | 1|none | 0|acc |↑ |0.1667|± |0.0254| |
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| - machine_learning | 1|none | 0|acc |↑ |0.2768|± |0.0425| |
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|truthfulqa_mc2 | 2|none | 0|acc |↑ |0.4971|± |0.0165| |
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|winogrande | 1|none | 0|acc |↑ |0.5114|± |0.0140| |
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| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr| |
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|------------------|------:|------|------|------|---|-----:|---|-----:| |
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|mmlu | 2|none | |acc |↑ |0.2280|± |0.0035| |
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| - humanities | 2|none | |acc |↑ |0.2366|± |0.0062| |
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| - other | 2|none | |acc |↑ |0.2485|± |0.0077| |
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| - social sciences| 2|none | |acc |↑ |0.2158|± |0.0074| |
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| - stem | 2|none | |acc |↑ |0.2068|± |0.0072| |
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