--- library_name: peft license: llama3 base_model: meta-llama/Meta-Llama-3-8B-Instruct tags: - llama-factory - lora - generated_from_trainer datasets: - super_glue model-index: - name: train_boolq_1745950277 results: [] --- # train_boolq_1745950277 This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the boolq dataset. It achieves the following results on the evaluation set: - Loss: 0.1300 - Num Input Tokens Seen: 34078960 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 2 - eval_batch_size: 2 - seed: 123 - gradient_accumulation_steps: 2 - total_train_batch_size: 4 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - training_steps: 40000 ### Training results | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |:-------------:|:-------:|:-----:|:---------------:|:-----------------:| | 0.2949 | 0.0943 | 200 | 0.3250 | 171472 | | 0.3203 | 0.1886 | 400 | 0.2047 | 339520 | | 0.213 | 0.2829 | 600 | 0.1600 | 509632 | | 0.1715 | 0.3772 | 800 | 0.1526 | 685120 | | 0.0514 | 0.4715 | 1000 | 0.1652 | 856144 | | 0.2019 | 0.5658 | 1200 | 0.1425 | 1024448 | | 0.2173 | 0.6601 | 1400 | 0.1650 | 1192560 | | 0.0799 | 0.7544 | 1600 | 0.1300 | 1360304 | | 0.041 | 0.8487 | 1800 | 0.1564 | 1535088 | | 0.3322 | 0.9430 | 2000 | 0.1519 | 1708224 | | 0.0089 | 1.0372 | 2200 | 0.1838 | 1880336 | | 0.2081 | 1.1315 | 2400 | 0.2094 | 2048144 | | 0.38 | 1.2258 | 2600 | 0.2108 | 2220048 | | 0.1835 | 1.3201 | 2800 | 0.1721 | 2388128 | | 0.0032 | 1.4144 | 3000 | 0.2218 | 2559696 | | 0.0865 | 1.5087 | 3200 | 0.1540 | 2730224 | | 0.0565 | 1.6030 | 3400 | 0.1570 | 2897744 | | 0.1569 | 1.6973 | 3600 | 0.1477 | 3067728 | | 0.1551 | 1.7916 | 3800 | 0.1567 | 3235856 | | 0.1202 | 1.8859 | 4000 | 0.2155 | 3409536 | | 0.0059 | 1.9802 | 4200 | 0.1554 | 3581600 | | 0.0025 | 2.0745 | 4400 | 0.2246 | 3753552 | | 0.001 | 2.1688 | 4600 | 0.2449 | 3924224 | | 0.006 | 2.2631 | 4800 | 0.2078 | 4093360 | | 0.1844 | 2.3574 | 5000 | 0.2490 | 4261312 | | 0.0018 | 2.4517 | 5200 | 0.2213 | 4438224 | | 0.096 | 2.5460 | 5400 | 0.2142 | 4608992 | | 0.0021 | 2.6403 | 5600 | 0.2055 | 4780976 | | 0.0011 | 2.7346 | 5800 | 0.2560 | 4946848 | | 0.0591 | 2.8289 | 6000 | 0.2815 | 5120704 | | 0.1611 | 2.9231 | 6200 | 0.2788 | 5292816 | | 0.0008 | 3.0174 | 6400 | 0.2730 | 5463728 | | 0.0023 | 3.1117 | 6600 | 0.2917 | 5634528 | | 0.1115 | 3.2060 | 6800 | 0.2372 | 5805344 | | 0.1566 | 3.3003 | 7000 | 0.2747 | 5976160 | | 0.0014 | 3.3946 | 7200 | 0.2818 | 6147200 | | 0.0018 | 3.4889 | 7400 | 0.2642 | 6315984 | | 0.0003 | 3.5832 | 7600 | 0.3310 | 6484512 | | 0.0006 | 3.6775 | 7800 | 0.3094 | 6653536 | | 0.166 | 3.7718 | 8000 | 0.3492 | 6823184 | | 0.0006 | 3.8661 | 8200 | 0.2910 | 6991232 | | 0.0014 | 3.9604 | 8400 | 0.2436 | 7161488 | | 0.0043 | 4.0547 | 8600 | 0.3267 | 7330416 | | 0.0002 | 4.1490 | 8800 | 0.4208 | 7502960 | | 0.0002 | 4.2433 | 9000 | 0.3043 | 7675776 | | 0.0008 | 4.3376 | 9200 | 0.3460 | 7847200 | | 0.0001 | 4.4319 | 9400 | 0.4261 | 8016080 | | 0.1008 | 4.5262 | 9600 | 0.2292 | 8189040 | | 0.0001 | 4.6205 | 9800 | 0.3800 | 8355360 | | 0.0002 | 4.7148 | 10000 | 0.3418 | 8527824 | | 0.0004 | 4.8091 | 10200 | 0.2841 | 8697376 | | 0.0012 | 4.9033 | 10400 | 0.2540 | 8867872 | | 0.0013 | 4.9976 | 10600 | 0.3265 | 9039888 | | 0.1067 | 5.0919 | 10800 | 0.4539 | 9209232 | | 0.0 | 5.1862 | 11000 | 0.5187 | 9384064 | | 0.0023 | 5.2805 | 11200 | 0.3918 | 9555168 | | 0.0 | 5.3748 | 11400 | 0.4749 | 9724832 | | 0.0001 | 5.4691 | 11600 | 0.3953 | 9894608 | | 0.1221 | 5.5634 | 11800 | 0.3914 | 10067376 | | 0.0015 | 5.6577 | 12000 | 0.6157 | 10239648 | | 0.0001 | 5.7520 | 12200 | 0.4068 | 10406400 | | 0.0001 | 5.8463 | 12400 | 0.3948 | 10578176 | | 0.0009 | 5.9406 | 12600 | 0.4626 | 10745200 | | 0.0 | 6.0349 | 12800 | 0.4054 | 10917056 | | 0.0 | 6.1292 | 13000 | 0.4441 | 11091376 | | 0.0038 | 6.2235 | 13200 | 0.3147 | 11260160 | | 0.0001 | 6.3178 | 13400 | 0.3441 | 11430512 | | 0.0 | 6.4121 | 13600 | 0.5056 | 11598992 | | 0.0 | 6.5064 | 13800 | 0.4643 | 11771312 | | 0.0 | 6.6007 | 14000 | 0.4942 | 11940256 | | 0.0 | 6.6950 | 14200 | 0.5800 | 12108896 | | 0.0 | 6.7893 | 14400 | 0.5291 | 12277824 | | 0.0 | 6.8835 | 14600 | 0.4069 | 12450224 | | 0.0004 | 6.9778 | 14800 | 0.3468 | 12618544 | | 0.4969 | 7.0721 | 15000 | 0.4180 | 12791104 | | 0.0 | 7.1664 | 15200 | 0.4630 | 12964976 | | 0.0 | 7.2607 | 15400 | 0.4689 | 13132848 | | 0.0 | 7.3550 | 15600 | 0.4131 | 13302528 | | 0.0 | 7.4493 | 15800 | 0.5349 | 13471696 | | 0.0 | 7.5436 | 16000 | 0.4500 | 13643264 | | 0.0 | 7.6379 | 16200 | 0.3913 | 13810336 | | 0.0002 | 7.7322 | 16400 | 0.4377 | 13980096 | | 0.0 | 7.8265 | 16600 | 0.5126 | 14150688 | | 0.0001 | 7.9208 | 16800 | 0.4151 | 14320928 | | 0.0 | 8.0151 | 17000 | 0.4575 | 14497120 | | 0.0001 | 8.1094 | 17200 | 0.4715 | 14667440 | | 0.0001 | 8.2037 | 17400 | 0.3730 | 14839920 | | 0.0001 | 8.2980 | 17600 | 0.4248 | 15013152 | | 0.0 | 8.3923 | 17800 | 0.5033 | 15178480 | | 0.0 | 8.4866 | 18000 | 0.5056 | 15349216 | | 0.0 | 8.5809 | 18200 | 0.5075 | 15518736 | | 0.0 | 8.6752 | 18400 | 0.4976 | 15689568 | | 0.0011 | 8.7694 | 18600 | 0.3954 | 15859632 | | 0.0 | 8.8637 | 18800 | 0.4307 | 16025920 | | 0.0001 | 8.9580 | 19000 | 0.3383 | 16196560 | | 0.0 | 9.0523 | 19200 | 0.5251 | 16368144 | | 0.0 | 9.1466 | 19400 | 0.6275 | 16539952 | | 0.0 | 9.2409 | 19600 | 0.6473 | 16710384 | | 0.0 | 9.3352 | 19800 | 0.4718 | 16878624 | | 0.0 | 9.4295 | 20000 | 0.5149 | 17046992 | | 0.0 | 9.5238 | 20200 | 0.5534 | 17218176 | | 0.0 | 9.6181 | 20400 | 0.6049 | 17390384 | | 0.0 | 9.7124 | 20600 | 0.6236 | 17560512 | | 0.0 | 9.8067 | 20800 | 0.4179 | 17726048 | | 0.0 | 9.9010 | 21000 | 0.4773 | 17897376 | | 0.0001 | 9.9953 | 21200 | 0.4315 | 18068096 | | 0.0 | 10.0896 | 21400 | 0.4717 | 18244704 | | 0.0 | 10.1839 | 21600 | 0.4507 | 18420464 | | 0.0 | 10.2782 | 21800 | 0.5002 | 18588480 | | 0.0 | 10.3725 | 22000 | 0.4912 | 18758992 | | 0.0 | 10.4668 | 22200 | 0.5160 | 18930688 | | 0.0 | 10.5611 | 22400 | 0.5553 | 19096400 | | 0.0 | 10.6554 | 22600 | 0.4440 | 19263456 | | 0.0 | 10.7496 | 22800 | 0.5174 | 19430576 | | 0.0001 | 10.8439 | 23000 | 0.4635 | 19599200 | | 0.0 | 10.9382 | 23200 | 0.4561 | 19770608 | | 0.0 | 11.0325 | 23400 | 0.5011 | 19942144 | | 0.0 | 11.1268 | 23600 | 0.5298 | 20112704 | | 0.0 | 11.2211 | 23800 | 0.5707 | 20282048 | | 0.0 | 11.3154 | 24000 | 0.5005 | 20456384 | | 0.0 | 11.4097 | 24200 | 0.4854 | 20624672 | | 0.0 | 11.5040 | 24400 | 0.5311 | 20796640 | | 0.0 | 11.5983 | 24600 | 0.5520 | 20964288 | | 0.0 | 11.6926 | 24800 | 0.6044 | 21132896 | | 0.0 | 11.7869 | 25000 | 0.5289 | 21304080 | | 0.0 | 11.8812 | 25200 | 0.5572 | 21471264 | | 0.0 | 11.9755 | 25400 | 0.5636 | 21642432 | | 0.0 | 12.0698 | 25600 | 0.5867 | 21811200 | | 0.0 | 12.1641 | 25800 | 0.5944 | 21983552 | | 0.0 | 12.2584 | 26000 | 0.5938 | 22155824 | | 0.0 | 12.3527 | 26200 | 0.6187 | 22329984 | | 0.0 | 12.4470 | 26400 | 0.4904 | 22499472 | | 0.0 | 12.5413 | 26600 | 0.5263 | 22669904 | | 0.0 | 12.6355 | 26800 | 0.5404 | 22837440 | | 0.0 | 12.7298 | 27000 | 0.5808 | 23008384 | | 0.0 | 12.8241 | 27200 | 0.5923 | 23177264 | | 0.0001 | 12.9184 | 27400 | 0.6002 | 23344128 | | 0.0 | 13.0127 | 27600 | 0.6057 | 23512272 | | 0.0 | 13.1070 | 27800 | 0.6309 | 23680080 | | 0.0 | 13.2013 | 28000 | 0.6362 | 23850944 | | 0.0 | 13.2956 | 28200 | 0.6412 | 24022624 | | 0.0 | 13.3899 | 28400 | 0.6448 | 24192144 | | 0.0 | 13.4842 | 28600 | 0.6528 | 24364768 | | 0.0 | 13.5785 | 28800 | 0.5868 | 24538352 | | 0.0 | 13.6728 | 29000 | 0.5990 | 24710416 | | 0.0 | 13.7671 | 29200 | 0.6152 | 24881936 | | 0.0 | 13.8614 | 29400 | 0.6230 | 25050656 | | 0.0 | 13.9557 | 29600 | 0.6278 | 25222752 | | 0.0 | 14.0500 | 29800 | 0.6313 | 25389344 | | 0.0 | 14.1443 | 30000 | 0.6579 | 25563712 | | 0.0 | 14.2386 | 30200 | 0.6643 | 25738992 | | 0.0 | 14.3329 | 30400 | 0.6687 | 25909744 | | 0.0 | 14.4272 | 30600 | 0.6975 | 26079120 | | 0.0 | 14.5215 | 30800 | 0.7041 | 26245936 | | 0.0 | 14.6157 | 31000 | 0.7109 | 26416944 | | 0.0 | 14.7100 | 31200 | 0.7532 | 26586032 | | 0.0 | 14.8043 | 31400 | 0.7551 | 26756496 | | 0.0 | 14.8986 | 31600 | 0.7506 | 26924320 | | 0.0 | 14.9929 | 31800 | 0.7554 | 27096688 | | 0.0 | 15.0872 | 32000 | 0.7591 | 27264640 | | 0.0 | 15.1815 | 32200 | 0.7616 | 27440592 | | 0.0 | 15.2758 | 32400 | 0.7617 | 27613248 | | 0.0 | 15.3701 | 32600 | 0.7620 | 27781552 | | 0.0 | 15.4644 | 32800 | 0.7669 | 27956496 | | 0.0 | 15.5587 | 33000 | 0.7672 | 28125456 | | 0.0 | 15.6530 | 33200 | 0.7705 | 28295136 | | 0.0 | 15.7473 | 33400 | 0.7677 | 28462640 | | 0.0 | 15.8416 | 33600 | 0.7741 | 28631360 | | 0.0 | 15.9359 | 33800 | 0.7735 | 28799488 | | 0.0 | 16.0302 | 34000 | 0.7718 | 28964832 | | 0.0 | 16.1245 | 34200 | 0.7772 | 29137792 | | 0.0 | 16.2188 | 34400 | 0.7773 | 29306192 | | 0.0 | 16.3131 | 34600 | 0.7795 | 29481760 | | 0.0 | 16.4074 | 34800 | 0.7860 | 29654256 | | 0.0 | 16.5017 | 35000 | 0.7843 | 29821840 | | 0.0 | 16.5959 | 35200 | 0.7870 | 29992016 | | 0.0 | 16.6902 | 35400 | 0.7885 | 30157952 | | 0.0 | 16.7845 | 35600 | 0.7890 | 30329792 | | 0.0 | 16.8788 | 35800 | 0.7849 | 30500240 | | 0.0 | 16.9731 | 36000 | 0.7907 | 30668944 | | 0.0 | 17.0674 | 36200 | 0.7922 | 30840688 | | 0.0 | 17.1617 | 36400 | 0.7952 | 31012176 | | 0.0 | 17.2560 | 36600 | 0.7901 | 31184160 | | 0.0 | 17.3503 | 36800 | 0.7919 | 31359648 | | 0.0 | 17.4446 | 37000 | 0.7899 | 31529872 | | 0.0 | 17.5389 | 37200 | 0.7934 | 31699104 | | 0.0 | 17.6332 | 37400 | 0.7909 | 31870016 | | 0.0 | 17.7275 | 37600 | 0.7962 | 32036672 | | 0.0 | 17.8218 | 37800 | 0.7975 | 32206048 | | 0.0 | 17.9161 | 38000 | 0.7980 | 32377104 | | 0.0 | 18.0104 | 38200 | 0.7977 | 32548208 | | 0.0 | 18.1047 | 38400 | 0.8014 | 32716560 | | 0.0 | 18.1990 | 38600 | 0.7976 | 32885504 | | 0.0 | 18.2933 | 38800 | 0.7980 | 33056256 | | 0.0 | 18.3876 | 39000 | 0.7969 | 33225648 | | 0.0 | 18.4818 | 39200 | 0.8011 | 33393952 | | 0.0 | 18.5761 | 39400 | 0.8007 | 33564304 | | 0.0 | 18.6704 | 39600 | 0.8016 | 33735024 | | 0.0 | 18.7647 | 39800 | 0.8004 | 33907088 | | 0.0 | 18.8590 | 40000 | 0.7987 | 34078960 | ### Framework versions - PEFT 0.15.2.dev0 - Transformers 4.51.3 - Pytorch 2.6.0+cu124 - Datasets 3.5.0 - Tokenizers 0.21.1