--- library_name: peft license: llama3 base_model: meta-llama/Meta-Llama-3-8B-Instruct tags: - llama-factory - lora - generated_from_trainer model-index: - name: train_multirc_1745950265 results: [] --- # train_multirc_1745950265 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 multirc dataset. It achieves the following results on the evaluation set: - Loss: 0.1151 - Num Input Tokens Seen: 75778784 ## 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 | |:-------------:|:------:|:-----:|:---------------:|:-----------------:| | 0.0613 | 0.0326 | 200 | 0.2503 | 378944 | | 0.1856 | 0.0653 | 400 | 0.1878 | 758192 | | 0.1722 | 0.0979 | 600 | 0.1691 | 1141408 | | 0.2227 | 0.1305 | 800 | 0.1482 | 1518336 | | 0.001 | 0.1631 | 1000 | 0.2181 | 1901264 | | 0.2756 | 0.1958 | 1200 | 0.1717 | 2279552 | | 0.1551 | 0.2284 | 1400 | 0.1335 | 2668256 | | 0.1616 | 0.2610 | 1600 | 0.1811 | 3047328 | | 0.1418 | 0.2937 | 1800 | 0.1367 | 3429984 | | 0.2208 | 0.3263 | 2000 | 0.1312 | 3814576 | | 0.0869 | 0.3589 | 2200 | 0.1339 | 4190352 | | 0.121 | 0.3915 | 2400 | 0.1417 | 4567440 | | 0.3097 | 0.4242 | 2600 | 0.1807 | 4944384 | | 0.2244 | 0.4568 | 2800 | 0.1395 | 5325216 | | 0.3335 | 0.4894 | 3000 | 0.1628 | 5698896 | | 0.2415 | 0.5221 | 3200 | 0.1244 | 6074432 | | 0.0321 | 0.5547 | 3400 | 0.1256 | 6454208 | | 0.1509 | 0.5873 | 3600 | 0.1669 | 6831056 | | 0.1002 | 0.6200 | 3800 | 0.1296 | 7209536 | | 0.1316 | 0.6526 | 4000 | 0.1353 | 7593024 | | 0.0123 | 0.6852 | 4200 | 0.1278 | 7977072 | | 0.1803 | 0.7178 | 4400 | 0.1271 | 8353296 | | 0.1114 | 0.7505 | 4600 | 0.1273 | 8733232 | | 0.2534 | 0.7831 | 4800 | 0.1243 | 9113632 | | 0.0137 | 0.8157 | 5000 | 0.1401 | 9487952 | | 0.0952 | 0.8484 | 5200 | 0.1311 | 9861104 | | 0.1068 | 0.8810 | 5400 | 0.1278 | 10239088 | | 0.1917 | 0.9136 | 5600 | 0.1161 | 10619840 | | 0.2227 | 0.9462 | 5800 | 0.1195 | 10994720 | | 0.1419 | 0.9789 | 6000 | 0.1151 | 11376976 | | 0.0218 | 1.0114 | 6200 | 0.1538 | 11758656 | | 0.1791 | 1.0440 | 6400 | 0.1649 | 12144016 | | 0.0192 | 1.0767 | 6600 | 0.1401 | 12531776 | | 0.1681 | 1.1093 | 6800 | 0.1617 | 12905136 | | 0.0873 | 1.1419 | 7000 | 0.1498 | 13278096 | | 0.1126 | 1.1746 | 7200 | 0.1478 | 13651520 | | 0.0065 | 1.2072 | 7400 | 0.1271 | 14034784 | | 0.1551 | 1.2398 | 7600 | 0.1179 | 14415120 | | 0.083 | 1.2725 | 7800 | 0.1571 | 14794784 | | 0.0707 | 1.3051 | 8000 | 0.1341 | 15176240 | | 0.0316 | 1.3377 | 8200 | 0.1392 | 15548080 | | 0.0064 | 1.3703 | 8400 | 0.1390 | 15926832 | | 0.0327 | 1.4030 | 8600 | 0.1469 | 16305344 | | 0.0886 | 1.4356 | 8800 | 0.1384 | 16686528 | | 0.1824 | 1.4682 | 9000 | 0.1457 | 17073648 | | 0.0089 | 1.5009 | 9200 | 0.1383 | 17457952 | | 0.2741 | 1.5335 | 9400 | 0.1507 | 17831104 | | 0.0438 | 1.5661 | 9600 | 0.1594 | 18215168 | | 0.0896 | 1.5987 | 9800 | 0.1432 | 18592816 | | 0.1483 | 1.6314 | 10000 | 0.1272 | 18972864 | | 0.0149 | 1.6640 | 10200 | 0.1292 | 19350160 | | 0.0384 | 1.6966 | 10400 | 0.1280 | 19735024 | | 0.1823 | 1.7293 | 10600 | 0.1238 | 20108768 | | 0.0987 | 1.7619 | 10800 | 0.1481 | 20489424 | | 0.0503 | 1.7945 | 11000 | 0.1444 | 20870832 | | 0.1438 | 1.8271 | 11200 | 0.1395 | 21240960 | | 0.0223 | 1.8598 | 11400 | 0.1240 | 21615744 | | 0.2403 | 1.8924 | 11600 | 0.1288 | 21991984 | | 0.011 | 1.9250 | 11800 | 0.1375 | 22366624 | | 0.0304 | 1.9577 | 12000 | 0.1436 | 22746000 | | 0.1027 | 1.9903 | 12200 | 0.1368 | 23122688 | | 0.008 | 2.0228 | 12400 | 0.1493 | 23494112 | | 0.0101 | 2.0555 | 12600 | 0.1741 | 23876160 | | 0.0025 | 2.0881 | 12800 | 0.1607 | 24261904 | | 0.0052 | 2.1207 | 13000 | 0.1821 | 24643776 | | 0.0703 | 2.1534 | 13200 | 0.1745 | 25020496 | | 0.002 | 2.1860 | 13400 | 0.2266 | 25391072 | | 0.0007 | 2.2186 | 13600 | 0.2077 | 25762416 | | 0.0515 | 2.2512 | 13800 | 0.1770 | 26139456 | | 0.0002 | 2.2839 | 14000 | 0.2102 | 26511344 | | 0.0335 | 2.3165 | 14200 | 0.2190 | 26891616 | | 0.2543 | 2.3491 | 14400 | 0.2210 | 27274960 | | 0.0197 | 2.3818 | 14600 | 0.1804 | 27652224 | | 0.096 | 2.4144 | 14800 | 0.1741 | 28033168 | | 0.1006 | 2.4470 | 15000 | 0.1748 | 28414784 | | 0.1264 | 2.4796 | 15200 | 0.1666 | 28787168 | | 0.0005 | 2.5123 | 15400 | 0.2133 | 29164512 | | 0.1132 | 2.5449 | 15600 | 0.2094 | 29545056 | | 0.0895 | 2.5775 | 15800 | 0.1872 | 29922176 | | 0.0004 | 2.6102 | 16000 | 0.2028 | 30304336 | | 0.0109 | 2.6428 | 16200 | 0.1964 | 30688608 | | 0.0933 | 2.6754 | 16400 | 0.1895 | 31067744 | | 0.0668 | 2.7081 | 16600 | 0.1783 | 31455328 | | 0.0024 | 2.7407 | 16800 | 0.1771 | 31833136 | | 0.078 | 2.7733 | 17000 | 0.1932 | 32213296 | | 0.0019 | 2.8059 | 17200 | 0.2108 | 32588128 | | 0.24 | 2.8386 | 17400 | 0.1512 | 32971552 | | 0.003 | 2.8712 | 17600 | 0.1733 | 33356064 | | 0.1105 | 2.9038 | 17800 | 0.1935 | 33739984 | | 0.0027 | 2.9365 | 18000 | 0.1673 | 34121824 | | 0.008 | 2.9691 | 18200 | 0.1870 | 34498368 | | 0.0335 | 3.0016 | 18400 | 0.1887 | 34866272 | | 0.0016 | 3.0343 | 18600 | 0.2062 | 35258768 | | 0.1094 | 3.0669 | 18800 | 0.2380 | 35644416 | | 0.0025 | 3.0995 | 19000 | 0.2508 | 36017808 | | 0.2564 | 3.1321 | 19200 | 0.2515 | 36393536 | | 0.0005 | 3.1648 | 19400 | 0.2621 | 36770432 | | 0.1377 | 3.1974 | 19600 | 0.2748 | 37152448 | | 0.0005 | 3.2300 | 19800 | 0.2862 | 37532496 | | 0.0426 | 3.2627 | 20000 | 0.3194 | 37910480 | | 0.0355 | 3.2953 | 20200 | 0.2726 | 38286080 | | 0.0002 | 3.3279 | 20400 | 0.2818 | 38664512 | | 0.0005 | 3.3606 | 20600 | 0.2895 | 39053472 | | 0.1314 | 3.3932 | 20800 | 0.2901 | 39432032 | | 0.0022 | 3.4258 | 21000 | 0.2823 | 39812704 | | 0.0002 | 3.4584 | 21200 | 0.2889 | 40191088 | | 0.0028 | 3.4911 | 21400 | 0.2483 | 40567216 | | 0.0004 | 3.5237 | 21600 | 0.2792 | 40947696 | | 0.0002 | 3.5563 | 21800 | 0.2509 | 41330624 | | 0.0009 | 3.5890 | 22000 | 0.2885 | 41708800 | | 0.0001 | 3.6216 | 22200 | 0.2949 | 42087824 | | 0.0002 | 3.6542 | 22400 | 0.2762 | 42461936 | | 0.0004 | 3.6868 | 22600 | 0.2839 | 42843696 | | 0.2685 | 3.7195 | 22800 | 0.2594 | 43221120 | | 0.0944 | 3.7521 | 23000 | 0.2491 | 43597776 | | 0.0006 | 3.7847 | 23200 | 0.3087 | 43979312 | | 0.3018 | 3.8174 | 23400 | 0.2826 | 44354480 | | 0.0946 | 3.8500 | 23600 | 0.2675 | 44727696 | | 0.0005 | 3.8826 | 23800 | 0.2448 | 45108608 | | 0.0048 | 3.9152 | 24000 | 0.2526 | 45482928 | | 0.0897 | 3.9479 | 24200 | 0.2370 | 45861584 | | 0.0677 | 3.9805 | 24400 | 0.2758 | 46243072 | | 0.0004 | 4.0131 | 24600 | 0.3141 | 46619680 | | 0.0 | 4.0457 | 24800 | 0.3310 | 47007360 | | 0.0016 | 4.0783 | 25000 | 0.3400 | 47391600 | | 0.1159 | 4.1109 | 25200 | 0.3607 | 47768320 | | 0.0 | 4.1436 | 25400 | 0.3962 | 48143424 | | 0.0 | 4.1762 | 25600 | 0.3957 | 48524368 | | 0.0001 | 4.2088 | 25800 | 0.3657 | 48899856 | | 0.0001 | 4.2415 | 26000 | 0.3431 | 49280208 | | 0.0 | 4.2741 | 26200 | 0.3348 | 49658080 | | 0.1813 | 4.3067 | 26400 | 0.3752 | 50034848 | | 0.0 | 4.3393 | 26600 | 0.3694 | 50413376 | | 0.0478 | 4.3720 | 26800 | 0.3373 | 50793248 | | 0.0021 | 4.4046 | 27000 | 0.3488 | 51170976 | | 0.0002 | 4.4372 | 27200 | 0.3317 | 51559504 | | 0.0001 | 4.4699 | 27400 | 0.3014 | 51928704 | | 0.0561 | 4.5025 | 27600 | 0.3671 | 52297776 | | 0.0 | 4.5351 | 27800 | 0.3960 | 52669472 | | 0.0002 | 4.5677 | 28000 | 0.3787 | 53045856 | | 0.0002 | 4.6004 | 28200 | 0.3886 | 53429232 | | 0.0018 | 4.6330 | 28400 | 0.4075 | 53810560 | | 0.0001 | 4.6656 | 28600 | 0.3656 | 54191536 | | 0.1284 | 4.6983 | 28800 | 0.3269 | 54572176 | | 0.0002 | 4.7309 | 29000 | 0.3831 | 54952896 | | 0.0006 | 4.7635 | 29200 | 0.4159 | 55327776 | | 0.0 | 4.7961 | 29400 | 0.4174 | 55708896 | | 0.0 | 4.8288 | 29600 | 0.4384 | 56085712 | | 0.0007 | 4.8614 | 29800 | 0.3953 | 56467376 | | 0.0 | 4.8940 | 30000 | 0.4200 | 56841328 | | 0.0001 | 4.9267 | 30200 | 0.3685 | 57227184 | | 0.0098 | 4.9593 | 30400 | 0.3776 | 57605632 | | 0.0003 | 4.9919 | 30600 | 0.3688 | 57987472 | | 0.0003 | 5.0245 | 30800 | 0.3970 | 58367056 | | 0.0001 | 5.0571 | 31000 | 0.3891 | 58746720 | | 0.0 | 5.0897 | 31200 | 0.4249 | 59124272 | | 0.0 | 5.1224 | 31400 | 0.4417 | 59504688 | | 0.0 | 5.1550 | 31600 | 0.4560 | 59875840 | | 0.0 | 5.1876 | 31800 | 0.4220 | 60247360 | | 0.0 | 5.2202 | 32000 | 0.4524 | 60622464 | | 0.0 | 5.2529 | 32200 | 0.4530 | 61006768 | | 0.0 | 5.2855 | 32400 | 0.4560 | 61386992 | | 0.0852 | 5.3181 | 32600 | 0.4682 | 61770000 | | 0.0 | 5.3508 | 32800 | 0.4613 | 62154640 | | 0.0 | 5.3834 | 33000 | 0.4687 | 62541664 | | 0.0 | 5.4160 | 33200 | 0.4673 | 62912976 | | 0.0004 | 5.4486 | 33400 | 0.4833 | 63289520 | | 0.0001 | 5.4813 | 33600 | 0.5028 | 63668416 | | 0.0 | 5.5139 | 33800 | 0.5196 | 64043792 | | 0.0 | 5.5465 | 34000 | 0.4946 | 64433840 | | 0.0 | 5.5792 | 34200 | 0.4728 | 64808624 | | 0.0 | 5.6118 | 34400 | 0.4699 | 65182704 | | 0.0 | 5.6444 | 34600 | 0.5052 | 65562192 | | 0.0 | 5.6771 | 34800 | 0.5188 | 65940816 | | 0.0 | 5.7097 | 35000 | 0.5143 | 66326768 | | 0.0 | 5.7423 | 35200 | 0.5124 | 66705744 | | 0.0 | 5.7749 | 35400 | 0.5134 | 67084928 | | 0.0 | 5.8076 | 35600 | 0.5225 | 67462064 | | 0.0 | 5.8402 | 35800 | 0.5205 | 67846112 | | 0.0 | 5.8728 | 36000 | 0.5039 | 68221552 | | 0.0 | 5.9055 | 36200 | 0.5070 | 68606416 | | 0.0 | 5.9381 | 36400 | 0.4980 | 68980176 | | 0.0 | 5.9707 | 36600 | 0.4966 | 69349984 | | 0.0 | 6.0033 | 36800 | 0.4959 | 69729984 | | 0.0 | 6.0359 | 37000 | 0.4991 | 70107936 | | 0.0 | 6.0685 | 37200 | 0.5019 | 70487856 | | 0.0001 | 6.1012 | 37400 | 0.5081 | 70865792 | | 0.0 | 6.1338 | 37600 | 0.5063 | 71244784 | | 0.0 | 6.1664 | 37800 | 0.5065 | 71630704 | | 0.0 | 6.1990 | 38000 | 0.5086 | 72002688 | | 0.0001 | 6.2317 | 38200 | 0.5054 | 72385776 | | 0.0 | 6.2643 | 38400 | 0.5044 | 72773152 | | 0.0 | 6.2969 | 38600 | 0.5042 | 73149584 | | 0.0 | 6.3296 | 38800 | 0.5054 | 73519536 | | 0.0002 | 6.3622 | 39000 | 0.5057 | 73902896 | | 0.0 | 6.3948 | 39200 | 0.5068 | 74278960 | | 0.0 | 6.4274 | 39400 | 0.5051 | 74655728 | | 0.0 | 6.4601 | 39600 | 0.5073 | 75025808 | | 0.0 | 6.4927 | 39800 | 0.5073 | 75402576 | | 0.0 | 6.5253 | 40000 | 0.5051 | 75778784 | ### Framework versions - PEFT 0.15.2.dev0 - Transformers 4.51.3 - Pytorch 2.6.0+cu124 - Datasets 3.5.0 - Tokenizers 0.21.1