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datasets: |
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- EleutherAI/the_pile_deduplicated |
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language: |
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- en |
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--- |
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# broken bc of updates to transformers library, let me reimplement and train |
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GLORT2 (GLORT2 Low Rank Transformer Transformer) is a transformer model where every single linear layer is another smaller transformer model. I combined qkv into one operation which means one transformer instead of 3 to save on parameters, I played w using a transformer on the embeddings but it wasnt .. great, it's 768 dim 10 layers w/ 384 dim 1 layer as the replacements for linear layers (besides embed and lm head) |
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also sorry I just realized theres some residual from where I copied the model code from in my own projects that includes some "expanded lm head size" stuff just ignore that if you're looking at the config and code this isn't a serious project so I don't care too much that it's there |
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| model | 512-token strided perplexity on a pile test set | tokens | |
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| --- | --- | --- | |
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| cerebras 111m | 21.550655364990234 | 2.2b | |
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| cerebras 256m | 15.203496932983398 | 5.1b | |
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| cerebras 590m | 12.098200798034668 | 11.something b | |
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| deduped pythia 70m (95.6M) | 22.393400192260742 | 300b | |
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| deduped pythia 160m (213M) | 13.933751106262207 | 300b | |
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| deduped pythia 410m (506M) | 9.61842155456543 | 300b | |
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| llama w same settings as cerebras 111m (119m) | 13.882301330566406 | 2.2b | |
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| llama plus w same settings as cerebras 111m and llama 70b embeddings (369m) | 13.565109252929688 | 2.2b | |
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| **GLORT2 (205m)** | 13.051741600036621 | 2.2b | |
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| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr| |
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|-------------|------:|------|-----:|--------|-----:|---|-----:| |
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|arc_challenge| 1|none | 25|acc |0.1706|± |0.0110| |
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| | |none | 25|acc_norm|0.2099|± |0.0119| |
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|truthfulqa_mc2| 2|none | 0|acc |0.4599|± |0.0154| |
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|winogrande| 1|none | 5|acc |0.5083|± |0.0141| |
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|hellaswag| 1|none | 10|acc |0.2728|± |0.0044| |
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| | |none | 10|acc_norm|0.2815|± |0.0045| |
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|gsm8k| 2|get-answer| 5|exact_match| 0|± | 0| |
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### mmlu |
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mean is 0.26394385964912276 i think |
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| Tasks |Version|Filter|n-shot|Metric|Value | |Stderr| |
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|-----------------------------------|------:|------|-----:|------|-----:|---|-----:| |
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|world_religions | 0|none | 5|acc |0.1988|± |0.0306| |
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|virology | 0|none | 5|acc |0.1928|± |0.0307| |
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|us_foreign_policy | 0|none | 5|acc |0.2600|± |0.0441| |
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|sociology | 0|none | 5|acc |0.2438|± |0.0304| |
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|security_studies | 0|none | 5|acc |0.4000|± |0.0314| |
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|public_relations | 0|none | 5|acc |0.2273|± |0.0401| |
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|professional_psychology | 0|none | 5|acc |0.2484|± |0.0175| |
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|professional_medicine | 0|none | 5|acc |0.4485|± |0.0302| |
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|professional_law | 0|none | 5|acc |0.2445|± |0.0110| |
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|professional_accounting | 0|none | 5|acc |0.2482|± |0.0258| |
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|prehistory | 0|none | 5|acc |0.2562|± |0.0243| |
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|philosophy | 0|none | 5|acc |0.2186|± |0.0235| |
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|nutrition | 0|none | 5|acc |0.2941|± |0.0261| |
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|moral_scenarios | 0|none | 5|acc |0.2503|± |0.0145| |
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|moral_disputes | 0|none | 5|acc |0.1965|± |0.0214| |
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|miscellaneous | 0|none | 5|acc |0.2554|± |0.0156| |
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|medical_genetics | 0|none | 5|acc |0.3000|± |0.0461| |
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|marketing | 0|none | 5|acc |0.1966|± |0.0260| |
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|management | 0|none | 5|acc |0.1942|± |0.0392| |
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|machine_learning | 0|none | 5|acc |0.2321|± |0.0401| |
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|logical_fallacies | 0|none | 5|acc |0.2331|± |0.0332| |
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|jurisprudence | 0|none | 5|acc |0.2407|± |0.0413| |
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|international_law | 0|none | 5|acc |0.3719|± |0.0441| |
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|human_sexuality | 0|none | 5|acc |0.2137|± |0.0360| |
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|human_aging | 0|none | 5|acc |0.2646|± |0.0296| |
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|high_school_world_history | 0|none | 5|acc |0.2489|± |0.0281| |
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|high_school_us_history | 0|none | 5|acc |0.2304|± |0.0296| |
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|high_school_statistics | 0|none | 5|acc |0.4722|± |0.0340| |
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|high_school_psychology | 0|none | 5|acc |0.3083|± |0.0198| |
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|high_school_physics | 0|none | 5|acc |0.3046|± |0.0376| |
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|high_school_microeconomics | 0|none | 5|acc |0.3361|± |0.0307| |
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|high_school_mathematics | 0|none | 5|acc |0.2630|± |0.0268| |
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|high_school_macroeconomics | 0|none | 5|acc |0.3231|± |0.0237| |
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|high_school_government_and_politics| 0|none | 5|acc |0.3523|± |0.0345| |
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|high_school_geography | 0|none | 5|acc |0.3384|± |0.0337| |
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|high_school_european_history | 0|none | 5|acc |0.2909|± |0.0355| |
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|high_school_computer_science | 0|none | 5|acc |0.2600|± |0.0441| |
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|high_school_chemistry | 0|none | 5|acc |0.2709|± |0.0313| |
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|high_school_biology | 0|none | 5|acc |0.3161|± |0.0265| |
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|global_facts | 0|none | 5|acc |0.1800|± |0.0386| |
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|formal_logic | 0|none | 5|acc |0.1667|± |0.0333| |
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|elementary_mathematics | 0|none | 5|acc |0.2540|± |0.0224| |
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|electrical_engineering | 0|none | 5|acc |0.3103|± |0.0386| |
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|econometrics | 0|none | 5|acc |0.2895|± |0.0427| |
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|conceptual_physics | 0|none | 5|acc |0.2553|± |0.0285| |
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|computer_security | 0|none | 5|acc |0.1900|± |0.0394| |
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|college_physics | 0|none | 5|acc |0.3431|± |0.0472| |
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|college_medicine | 0|none | 5|acc |0.2312|± |0.0321| |
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|college_mathematics | 0|none | 5|acc |0.1800|± |0.0386| |
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|college_computer_science | 0|none | 5|acc |0.3000|± |0.0461| |
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|college_chemistry | 0|none | 5|acc |0.2900|± |0.0456| |
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|college_biology | 0|none | 5|acc |0.2083|± |0.0340| |
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|clinical_knowledge | 0|none | 5|acc |0.2038|± |0.0248| |
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|business_ethics | 0|none | 5|acc |0.2100|± |0.0409| |
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|astronomy | 0|none | 5|acc |0.1908|± |0.0320| |
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|anatomy | 0|none | 5|acc |0.2963|± |0.0394| |
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|abstract_algebra | 0|none | 5|acc |0.2000|± |0.0402| |
