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README.md
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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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<iframe src="https://wandb.ai/mtasic85/pretrain-/runs/lr5thq6l?nw=nwusermtasic85" style="border:none;height:1024px;width:100%">
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<iframe src="https://wandb.ai/mtasic85/pretrain-/runs/lr5thq6l?nw=nwusermtasic85" style="border:none;height:1024px;width:100%">
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<iframe src="https://wandb.ai/mtasic85/pretrain-/runs/lr5thq6l?nw=nwusermtasic85" style="border:none;height:1024px;width:100%">
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<iframe src="https://wandb.ai/mtasic85/pretrain-/runs/lr5thq6l?nw=nwusermtasic85" style="border:none;height:1024px;width:100%">
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## lm-evaluation-harness
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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 |↑ |0.2065|± |0.0118|
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| | |none | 0|acc_norm |↑ |0.2338|± |0.0124|
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|gsm8k | 3|flexible-extract| 5|exact_match|↑ |0.0144|± |0.0033|
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| | |strict-match | 5|exact_match|↑ |0.0000|± |0.0000|
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|hellaswag | 1|none | 0|acc |↑ |0.2614|± |0.0044|
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| | |none | 0|acc_norm |↑ |0.2604|± |0.0044|
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45 |
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|mmlu | 2|none | |acc |↑ |0.2280|± |0.0035|
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46 |
-
| - humanities | 2|none | |acc |↑ |0.2376|± |0.0062|
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47 |
-
| - formal_logic | 1|none | 0|acc |↑ |0.2698|± |0.0397|
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48 |
-
| - high_school_european_history | 1|none | 0|acc |↑ |0.2000|± |0.0312|
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49 |
-
| - high_school_us_history | 1|none | 0|acc |↑ |0.2500|± |0.0304|
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50 |
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| - high_school_world_history | 1|none | 0|acc |↑ |0.2785|± |0.0292|
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51 |
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| - international_law | 1|none | 0|acc |↑ |0.2149|± |0.0375|
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52 |
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| - jurisprudence | 1|none | 0|acc |↑ |0.2407|± |0.0413|
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53 |
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| - logical_fallacies | 1|none | 0|acc |↑ |0.2270|± |0.0329|
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54 |
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| - moral_disputes | 1|none | 0|acc |↑ |0.2341|± |0.0228|
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| - moral_scenarios | 1|none | 0|acc |↑ |0.2380|± |0.0142|
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56 |
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| - philosophy | 1|none | 0|acc |↑ |0.1833|± |0.0220|
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57 |
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| - prehistory | 1|none | 0|acc |↑ |0.2160|± |0.0229|
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58 |
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| - professional_law | 1|none | 0|acc |↑ |0.2399|± |0.0109|
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59 |
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| - world_religions | 1|none | 0|acc |↑ |0.3275|± |0.0360|
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60 |
-
| - other | 2|none | |acc |↑ |0.2481|± |0.0077|
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61 |
-
| - business_ethics | 1|none | 0|acc |↑ |0.3100|± |0.0465|
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| - clinical_knowledge | 1|none | 0|acc |↑ |0.2264|± |0.0258|
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63 |
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| - college_medicine | 1|none | 0|acc |↑ |0.2486|± |0.0330|
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64 |
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| - global_facts | 1|none | 0|acc |↑ |0.1700|± |0.0378|
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| - human_aging | 1|none | 0|acc
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| - management | 1|none | 0|acc |↑ |0.1845|± |0.0384|
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| - marketing | 1|none | 0|acc |↑ |0.3034|± |0.0301|
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68 |
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| - medical_genetics | 1|none | 0|acc |↑ |0.3100|± |0.0465|
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| - miscellaneous | 1|none | 0|acc |↑ |0.2401|± |0.0153|
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| - nutrition | 1|none | 0|acc |↑ |0.2418|± |0.0245|
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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 |↑ |0.2155|± |0.0074|
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| - econometrics | 1|none | 0|acc |↑ |0.2281|± |0.0395|
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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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79 |
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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 |↑ |0.1872|± |0.0167|
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| - human_sexuality | 1|none | 0|acc |↑ |0.2672|± |0.0388|
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| - professional_psychology | 1|none | 0|acc |↑ |0.2467|± |0.0174|
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| - public_relations | 1|none | 0|acc |↑ |0.2182|± |0.0396|
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84 |
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| - security_studies | 1|none | 0|acc |↑ |0.1755|± |0.0244|
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| - sociology | 1|none | 0|acc |↑ |0.2438|± |0.0304|
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| - us_foreign_policy | 1|none | 0|acc |↑ |0.2700|± |0.0446|
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| - stem | 2|none | |acc |↑ |0.2058|± |0.0072|
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| - abstract_algebra | 1|none | 0|acc |↑ |0.1700|± |0.0378|
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89 |
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| - anatomy | 1|none | 0|acc |↑ |0.1778|± |0.0330|
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| - astronomy | 1|none | 0|acc |↑ |0.1776|± |0.0311|
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| - college_biology | 1|none | 0|acc |↑ |0.2569|± |0.0365|
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92 |
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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 |↑ |0.1806|± |0.0219|
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| - high_school_chemistry | 1|none | 0|acc |↑ |0.1478|± |0.0250|
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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 |↑ |0.1788|± |0.0313|
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| - high_school_statistics | 1|none | 0|acc |↑ |0.1620|± |0.0251|
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| - machine_learning | 1|none | 0|acc |↑ |0.2768|± |0.0425|
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|truthfulqa_mc2 | 2|none | 0|acc |↑ |0.4975|± |0.0165|
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|winogrande | 1|none | 0|acc |↑ |0.5146|± |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 |↑ |0.2376|± |0.0062|
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| - other | 2|none | |acc |↑ |0.2481|± |0.0077|
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| - social sciences| 2|none | |acc |↑ |0.2155|± |0.0074|
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| - stem | 2|none | |acc |↑ |0.2058|± |0.0072|
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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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<iframe src="https://wandb.ai/mtasic85/pretrain-/runs/lr5thq6l?nw=nwusermtasic85" style="border:none;height:1024px;width:100%">
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<iframe src="https://wandb.ai/mtasic85/pretrain-/runs/lr5thq6l?nw=nwusermtasic85" style="border:none;height:1024px;width:100%">
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<iframe src="https://wandb.ai/mtasic85/pretrain-/runs/lr5thq6l?nw=nwusermtasic85" style="border:none;height:1024px;width:100%">
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<iframe src="https://wandb.ai/mtasic85/pretrain-/runs/lr5thq6l?nw=nwusermtasic85" style="border:none;height:1024px;width:100%">
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## lm-evaluation-harness
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| Tasks |Version| Filter |n-shot| Metric | |Value | |Stderr|
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38 |
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|---------------------------------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
|
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+
|arc_challenge | 1|none | 0|acc |↑ |0.2065|± |0.0118|
|
40 |
+
| | |none | 0|acc_norm |↑ |0.2338|± |0.0124|
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+
|gsm8k | 3|flexible-extract| 5|exact_match|↑ |0.0144|± |0.0033|
|
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| | |strict-match | 5|exact_match|↑ |0.0000|± |0.0000|
|
43 |
+
|hellaswag | 1|none | 0|acc |↑ |0.2614|± |0.0044|
|
44 |
+
| | |none | 0|acc_norm |↑ |0.2604|± |0.0044|
|
45 |
+
|mmlu | 2|none | |acc |↑ |0.2280|± |0.0035|
|
46 |
+
| - humanities | 2|none | |acc |↑ |0.2376|± |0.0062|
|
47 |
+
| - formal_logic | 1|none | 0|acc |↑ |0.2698|± |0.0397|
|
48 |
+
| - high_school_european_history | 1|none | 0|acc |↑ |0.2000|± |0.0312|
|
49 |
+
| - high_school_us_history | 1|none | 0|acc |↑ |0.2500|± |0.0304|
|
50 |
+
| - high_school_world_history | 1|none | 0|acc |↑ |0.2785|± |0.0292|
|
51 |
+
| - international_law | 1|none | 0|acc |↑ |0.2149|± |0.0375|
|
52 |
+
| - jurisprudence | 1|none | 0|acc |↑ |0.2407|± |0.0413|
|
53 |
+
| - logical_fallacies | 1|none | 0|acc |↑ |0.2270|± |0.0329|
|
54 |
+
| - moral_disputes | 1|none | 0|acc |↑ |0.2341|± |0.0228|
|
55 |
+
| - moral_scenarios | 1|none | 0|acc |↑ |0.2380|± |0.0142|
|
56 |
+
| - philosophy | 1|none | 0|acc |↑ |0.1833|± |0.0220|
|
57 |
+
| - prehistory | 1|none | 0|acc |↑ |0.2160|± |0.0229|
|
58 |
+
| - professional_law | 1|none | 0|acc |↑ |0.2399|± |0.0109|
|
59 |
+
| - world_religions | 1|none | 0|acc |↑ |0.3275|± |0.0360|
|
60 |
+
| - other | 2|none | |acc |↑ |0.2481|± |0.0077|
|
61 |
+
| - business_ethics | 1|none | 0|acc |↑ |0.3100|± |0.0465|
|
62 |
+
| - clinical_knowledge | 1|none | 0|acc |↑ |0.2264|± |0.0258|
|
63 |
+
| - college_medicine | 1|none | 0|acc |↑ |0.2486|± |0.0330|
|
64 |
+
| - global_facts | 1|none | 0|acc |↑ |0.1700|± |0.0378|
|
65 |
+
| - human_aging | 1|none | 0|acc |↑ |0.3229|± |0.0314|
|
66 |
+
| - management | 1|none | 0|acc |↑ |0.1845|± |0.0384|
|
67 |
+
| - marketing | 1|none | 0|acc |↑ |0.3034|± |0.0301|
|
68 |
+
| - medical_genetics | 1|none | 0|acc |↑ |0.3100|± |0.0465|
|
69 |
+
| - miscellaneous | 1|none | 0|acc |↑ |0.2401|± |0.0153|
|
70 |
+
| - nutrition | 1|none | 0|acc |↑ |0.2418|± |0.0245|
|
71 |
+
| - professional_accounting | 1|none | 0|acc |↑ |0.2411|± |0.0255|
|
72 |
+
| - professional_medicine | 1|none | 0|acc |↑ |0.1838|± |0.0235|
|
73 |
+
| - virology | 1|none | 0|acc |↑ |0.2831|± |0.0351|
|
74 |
+
| - social sciences | 2|none | |acc |↑ |0.2155|± |0.0074|
|
75 |
+
| - econometrics | 1|none | 0|acc |↑ |0.2281|± |0.0395|
|
76 |
+
| - high_school_geography | 1|none | 0|acc |↑ |0.1768|± |0.0272|
|
77 |
+
| - high_school_government_and_politics| 1|none | 0|acc |↑ |0.1969|± |0.0287|
|
78 |
+
| - high_school_macroeconomics | 1|none | 0|acc |↑ |0.2103|± |0.0207|
|
79 |
+
| - high_school_microeconomics | 1|none | 0|acc |↑ |0.2143|± |0.0267|
|
80 |
+
| - high_school_psychology | 1|none | 0|acc |↑ |0.1872|± |0.0167|
|
81 |
+
| - human_sexuality | 1|none | 0|acc |↑ |0.2672|± |0.0388|
|
82 |
+
| - professional_psychology | 1|none | 0|acc |↑ |0.2467|± |0.0174|
|
83 |
+
| - public_relations | 1|none | 0|acc |↑ |0.2182|± |0.0396|
|
84 |
+
| - security_studies | 1|none | 0|acc |↑ |0.1755|± |0.0244|
|
85 |
+
| - sociology | 1|none | 0|acc |↑ |0.2438|± |0.0304|
|
86 |
+
| - us_foreign_policy | 1|none | 0|acc |↑ |0.2700|± |0.0446|
|
87 |
+
| - stem | 2|none | |acc |↑ |0.2058|± |0.0072|
|
88 |
+
| - abstract_algebra | 1|none | 0|acc |↑ |0.1700|± |0.0378|
|
89 |
+
| - anatomy | 1|none | 0|acc |↑ |0.1778|± |0.0330|
|
90 |
+
| - astronomy | 1|none | 0|acc |↑ |0.1776|± |0.0311|
|
91 |
+
| - college_biology | 1|none | 0|acc |↑ |0.2569|± |0.0365|
|
92 |
+
| - college_chemistry | 1|none | 0|acc |↑ |0.1900|± |0.0394|
|
93 |
+
| - college_computer_science | 1|none | 0|acc |↑ |0.2600|± |0.0441|
|
94 |
+
| - college_mathematics | 1|none | 0|acc |↑ |0.2100|± |0.0409|
|
95 |
+
| - college_physics | 1|none | 0|acc |↑ |0.2059|± |0.0402|
|
96 |
+
| - computer_security | 1|none | 0|acc |↑ |0.2400|± |0.0429|
|
97 |
+
| - conceptual_physics | 1|none | 0|acc |↑ |0.2681|± |0.0290|
|
98 |
+
| - electrical_engineering | 1|none | 0|acc |↑ |0.2345|± |0.0353|
|
99 |
+
| - elementary_mathematics | 1|none | 0|acc |↑ |0.2011|± |0.0206|
|
100 |
+
| - high_school_biology | 1|none | 0|acc |↑ |0.1806|± |0.0219|
|
101 |
+
| - high_school_chemistry | 1|none | 0|acc |↑ |0.1478|± |0.0250|
|
102 |
+
| - high_school_computer_science | 1|none | 0|acc |↑ |0.2400|± |0.0429|
|
103 |
+
| - high_school_mathematics | 1|none | 0|acc |↑ |0.2111|± |0.0249|
|
104 |
+
| - high_school_physics | 1|none | 0|acc |↑ |0.1788|± |0.0313|
|
105 |
+
| - high_school_statistics | 1|none | 0|acc |↑ |0.1620|± |0.0251|
|
106 |
+
| - machine_learning | 1|none | 0|acc |↑ |0.2768|± |0.0425|
|
107 |
+
|truthfulqa_mc2 | 2|none | 0|acc |↑ |0.4975|± |0.0165|
|
108 |
+
|winogrande | 1|none | 0|acc |↑ |0.5146|± |0.0140|
|
109 |
+
|
110 |
+
| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
|
111 |
+
|------------------|------:|------|------|------|---|-----:|---|-----:|
|
112 |
+
|mmlu | 2|none | |acc |↑ |0.2280|± |0.0035|
|
113 |
+
| - humanities | 2|none | |acc |↑ |0.2376|± |0.0062|
|
114 |
+
| - other | 2|none | |acc |↑ |0.2481|± |0.0077|
|
115 |
+
| - social sciences| 2|none | |acc |↑ |0.2155|± |0.0074|
|
116 |
+
| - stem | 2|none | |acc |↑ |0.2058|± |0.0072|
|
|