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--- |
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license: apache-2.0 |
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base_model: tangledgroup/tangled-llama-33m-32k-base-v0.1 |
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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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'Replete-AI/Everything_Instruct_Multilingual', |
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'HuggingFaceH4/ultrachat_200k', |
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'HuggingFaceH4/no_robots', |
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'datatab/ultrachat_200k_serbian', |
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'datatab/ultrafeedback_binarized_serbian', |
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'datatab/alpaca-cleaned-serbian-full', |
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'datatab/orca_math_world_problem_200k_serbian', |
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'datatab/open-orca-slim-serbian', |
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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-instruct-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 **4.2B** (`4,252,334,823`) tokens from more than **6.2M** (`6,271,145`) 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. It can handle a context length of up to **32K** (`32,768`) tokens, and it was pretrained with sequences of **32K** (`32,768`) 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/rx2cm1ip) |
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[val_ppl](https://api.wandb.ai/links/mtasic85/okegm8vs) |
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[epoch](https://api.wandb.ai/links/mtasic85/t5lojxa6) |
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[learning_rate](https://api.wandb.ai/links/mtasic85/033xhutk) |
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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/contrain/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 |↑ |0.1560|± |0.0230| |
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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 |↑ |0.0920|± |0.0183| |
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| - leaderboard_bbh_hyperbaton | 1|none | 3|acc_norm |↑ |0.5320|± |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 |↑ |0.1600|± |0.0232| |
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| - leaderboard_bbh_logical_deduction_three_objects | 1|none | 3|acc_norm |↑ |0.3360|± |0.0299| |
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| - leaderboard_bbh_movie_recommendation | 1|none | 3|acc_norm |↑ |0.0640|± |0.0155| |
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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 |↑ |0.0640|± |0.0155| |
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| - leaderboard_bbh_penguins_in_a_table | 1|none | 3|acc_norm |↑ |0.2397|± |0.0355| |
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| - leaderboard_bbh_reasoning_about_colored_objects | 1|none | 3|acc_norm |↑ |0.1520|± |0.0228| |
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| - leaderboard_bbh_ruin_names | 1|none | 3|acc_norm |↑ |0.2720|± |0.0282| |
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| - leaderboard_bbh_salient_translation_error_detection | 1|none | 3|acc_norm |↑ |0.1240|± |0.0209| |
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| - leaderboard_bbh_snarks | 1|none | 3|acc_norm |↑ |0.5618|± |0.0373| |
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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 |↑ |0.2920|± |0.0288| |
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| - leaderboard_bbh_tracking_shuffled_objects_five_objects | 1|none | 3|acc_norm |↑ |0.2040|± |0.0255| |
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| - leaderboard_bbh_tracking_shuffled_objects_seven_objects| 1|none | 3|acc_norm |↑ |0.1200|± |0.0206| |
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| - leaderboard_bbh_tracking_shuffled_objects_three_objects| 1|none | 3|acc_norm |↑ |0.3160|± |0.0295| |
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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 |↑ |0.1919|± |0.0281| |
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| - leaderboard_gpqa_extended | 1|none | 0|acc_norm |↑ |0.2289|± |0.0180| |
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| - leaderboard_gpqa_main | 1|none | 0|acc_norm |↑ |0.2768|± |0.0212| |
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| - leaderboard_ifeval | 3|none | 0|inst_level_loose_acc |↑ |0.2098|± | N/A| |
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| | |none | 0|inst_level_strict_acc |↑ |0.1966|± | N/A| |
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| | |none | 0|prompt_level_loose_acc |↑ |0.1109|± |0.0135| |
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| | |none | 0|prompt_level_strict_acc|↑ |0.1072|± |0.0133| |
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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 |↑ |0.1184|± |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 |↑ |0.2578|± |0.0274| |
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| - leaderboard_musr_team_allocation | 1|none | 0|acc_norm |↑ |0.2600|± |0.0278| |
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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/contrain/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 |↑ |0.1962|± |0.0116| |
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| | |none | 0|acc_norm |↑ |0.2483|± |0.0126| |
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|gsm8k | 3|flexible-extract| 5|exact_match|↑ |0.0008|± |0.0008| |
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| | |strict-match | 5|exact_match|↑ |0.0000|± |0.0000| |
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|hellaswag | 1|none | 0|acc |↑ |0.2594|± |0.0044| |
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| | |none | 0|acc_norm |↑ |0.2564|± |0.0044| |
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|mmlu | 2|none | |acc |↑ |0.2575|± |0.0037| |
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| - humanities | 2|none | |acc |↑ |0.2410|± |0.0062| |
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| - formal_logic | 1|none | 0|acc |↑ |0.3016|± |0.0410| |
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| - high_school_european_history | 1|none | 0|acc |↑ |0.1879|± |0.0305| |
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| - high_school_us_history | 1|none | 0|acc |↑ |0.2794|± |0.0315| |
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| - high_school_world_history | 1|none | 0|acc |↑ |0.2363|± |0.0277| |
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| - international_law | 1|none | 0|acc |↑ |0.1240|± |0.0301| |
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| - jurisprudence | 1|none | 0|acc |↑ |0.2315|± |0.0408| |
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| - logical_fallacies | 1|none | 0|acc |↑ |0.2270|± |0.0329| |
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| - moral_disputes | 1|none | 0|acc |↑ |0.2139|± |0.0221| |
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| - moral_scenarios | 1|none | 0|acc |↑ |0.2715|± |0.0149| |
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| - philosophy | 1|none | 0|acc |↑ |0.2572|± |0.0248| |
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| - prehistory | 1|none | 0|acc |↑ |0.2500|± |0.0241| |
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| - professional_law | 1|none | 0|acc |↑ |0.2334|± |0.0108| |
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| - world_religions | 1|none | 0|acc |↑ |0.2281|± |0.0322| |
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| - other | 2|none | |acc |↑ |0.2379|± |0.0076| |
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| - business_ethics | 1|none | 0|acc |↑ |0.2800|± |0.0451| |
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| - clinical_knowledge | 1|none | 0|acc |↑ |0.2943|± |0.0280| |
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| - college_medicine | 1|none | 0|acc |↑ |0.2832|± |0.0344| |
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| - global_facts | 1|none | 0|acc |↑ |0.1900|± |0.0394| |
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| - human_aging | 1|none | 0|acc |↑ |0.1794|± |0.0257| |
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| - management | 1|none | 0|acc |↑ |0.3398|± |0.0469| |
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| - marketing | 1|none | 0|acc |↑ |0.1838|± |0.0254| |
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| - medical_genetics | 1|none | 0|acc |↑ |0.1900|± |0.0394| |
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| - miscellaneous | 1|none | 0|acc |↑ |0.2171|± |0.0147| |
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| - nutrition | 1|none | 0|acc |↑ |0.2549|± |0.0250| |
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| - professional_accounting | 1|none | 0|acc |↑ |0.2447|± |0.0256| |
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| - professional_medicine | 1|none | 0|acc |↑ |0.3162|± |0.0282| |
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| - virology | 1|none | 0|acc |↑ |0.1506|± |0.0278| |
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| - social sciences | 2|none | |acc |↑ |0.2899|± |0.0082| |
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| - econometrics | 1|none | 0|acc |↑ |0.2807|± |0.0423| |
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| - high_school_geography | 1|none | 0|acc |↑ |0.3030|± |0.0327| |
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| - high_school_government_and_politics| 1|none | 0|acc |↑ |0.3109|± |0.0334| |
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| - high_school_macroeconomics | 1|none | 0|acc |↑ |0.3103|± |0.0235| |
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| - high_school_microeconomics | 1|none | 0|acc |↑ |0.2563|± |0.0284| |
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| - high_school_psychology | 1|none | 0|acc |↑ |0.3193|± |0.0200| |
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| - human_sexuality | 1|none | 0|acc |↑ |0.2824|± |0.0395| |
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| - professional_psychology | 1|none | 0|acc |↑ |0.2451|± |0.0174| |
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| - public_relations | 1|none | 0|acc |↑ |0.2818|± |0.0431| |
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| - security_studies | 1|none | 0|acc |↑ |0.3592|± |0.0307| |
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| - sociology | 1|none | 0|acc |↑ |0.2488|± |0.0306| |
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| - us_foreign_policy | 1|none | 0|acc |↑ |0.2800|± |0.0451| |
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| - stem | 2|none | |acc |↑ |0.2699|± |0.0079| |
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| - abstract_algebra | 1|none | 0|acc |↑ |0.1900|± |0.0394| |
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| - anatomy | 1|none | 0|acc |↑ |0.2444|± |0.0371| |
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| - astronomy | 1|none | 0|acc |↑ |0.2961|± |0.0372| |
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| - college_biology | 1|none | 0|acc |↑ |0.2431|± |0.0359| |
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| - college_chemistry | 1|none | 0|acc |↑ |0.3500|± |0.0479| |
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| - college_computer_science | 1|none | 0|acc |↑ |0.2700|± |0.0446| |
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| - college_mathematics | 1|none | 0|acc |↑ |0.2400|± |0.0429| |
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| - college_physics | 1|none | 0|acc |↑ |0.3627|± |0.0478| |
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| - computer_security | 1|none | 0|acc |↑ |0.1900|± |0.0394| |
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| - conceptual_physics | 1|none | 0|acc |↑ |0.2766|± |0.0292| |
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| - electrical_engineering | 1|none | 0|acc |↑ |0.2621|± |0.0366| |
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| - elementary_mathematics | 1|none | 0|acc |↑ |0.2725|± |0.0229| |
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| - high_school_biology | 1|none | 0|acc |↑ |0.3065|± |0.0262| |
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| - high_school_chemistry | 1|none | 0|acc |↑ |0.2562|± |0.0307| |
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| - high_school_computer_science | 1|none | 0|acc |↑ |0.2200|± |0.0416| |
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| - high_school_mathematics | 1|none | 0|acc |↑ |0.2630|± |0.0268| |
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| - high_school_physics | 1|none | 0|acc |↑ |0.2649|± |0.0360| |
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| - high_school_statistics | 1|none | 0|acc |↑ |0.3380|± |0.0323| |
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| - machine_learning | 1|none | 0|acc |↑ |0.1607|± |0.0349| |
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|truthfulqa_mc2 | 2|none | 0|acc |↑ |0.4992|± |0.0163| |
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|winogrande | 1|none | 0|acc |↑ |0.5075|± |0.0141| |
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| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr| |
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|------------------|------:|------|------|------|---|-----:|---|-----:| |
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|mmlu | 2|none | |acc |↑ |0.2575|± |0.0037| |
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| - humanities | 2|none | |acc |↑ |0.2410|± |0.0062| |
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| - other | 2|none | |acc |↑ |0.2379|± |0.0076| |
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| - social sciences| 2|none | |acc |↑ |0.2899|± |0.0082| |
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| - stem | 2|none | |acc |↑ |0.2699|± |0.0079| |
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