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---
library_name: peft
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.3
tags:
- llama-factory
- ia3
- generated_from_trainer
model-index:
- name: train_multirc_1745950267
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# train_multirc_1745950267
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the multirc dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1457
- Num Input Tokens Seen: 83543088
## 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 |
|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
| 0.0558 | 0.0326 | 200 | 0.4775 | 418192 |
| 0.0154 | 0.0653 | 400 | 0.3317 | 836224 |
| 0.4028 | 0.0979 | 600 | 0.2511 | 1258320 |
| 0.3202 | 0.1305 | 800 | 0.2235 | 1673984 |
| 0.0732 | 0.1631 | 1000 | 0.2080 | 2097344 |
| 0.2171 | 0.1958 | 1200 | 0.1999 | 2515056 |
| 0.2525 | 0.2284 | 1400 | 0.1943 | 2943280 |
| 0.1277 | 0.2610 | 1600 | 0.1899 | 3360448 |
| 0.2023 | 0.2937 | 1800 | 0.1893 | 3782768 |
| 0.2733 | 0.3263 | 2000 | 0.1875 | 4205680 |
| 0.1995 | 0.3589 | 2200 | 0.1857 | 4620944 |
| 0.1312 | 0.3915 | 2400 | 0.1806 | 5037232 |
| 0.3288 | 0.4242 | 2600 | 0.1805 | 5452736 |
| 0.2526 | 0.4568 | 2800 | 0.1780 | 5872752 |
| 0.1762 | 0.4894 | 3000 | 0.1762 | 6285232 |
| 0.2628 | 0.5221 | 3200 | 0.1769 | 6699264 |
| 0.1193 | 0.5547 | 3400 | 0.1741 | 7118336 |
| 0.0968 | 0.5873 | 3600 | 0.1734 | 7533408 |
| 0.197 | 0.6200 | 3800 | 0.1715 | 7950560 |
| 0.1932 | 0.6526 | 4000 | 0.1725 | 8372672 |
| 0.0675 | 0.6852 | 4200 | 0.1701 | 8796048 |
| 0.2092 | 0.7178 | 4400 | 0.1704 | 9210416 |
| 0.1398 | 0.7505 | 4600 | 0.1695 | 9628832 |
| 0.1963 | 0.7831 | 4800 | 0.1680 | 10048144 |
| 0.0792 | 0.8157 | 5000 | 0.1707 | 10460144 |
| 0.1101 | 0.8484 | 5200 | 0.1684 | 10871296 |
| 0.2328 | 0.8810 | 5400 | 0.1661 | 11287600 |
| 0.1701 | 0.9136 | 5600 | 0.1652 | 11707328 |
| 0.3038 | 0.9462 | 5800 | 0.1644 | 12120624 |
| 0.1343 | 0.9789 | 6000 | 0.1669 | 12542416 |
| 0.1047 | 1.0114 | 6200 | 0.1671 | 12963008 |
| 0.3091 | 1.0440 | 6400 | 0.1649 | 13388336 |
| 0.1802 | 1.0767 | 6600 | 0.1639 | 13816224 |
| 0.2312 | 1.1093 | 6800 | 0.1636 | 14228240 |
| 0.1227 | 1.1419 | 7000 | 0.1636 | 14637984 |
| 0.2078 | 1.1746 | 7200 | 0.1643 | 15049216 |
| 0.0908 | 1.2072 | 7400 | 0.1641 | 15471984 |
| 0.2253 | 1.2398 | 7600 | 0.1611 | 15891152 |
| 0.1724 | 1.2725 | 7800 | 0.1612 | 16309376 |
| 0.0729 | 1.3051 | 8000 | 0.1654 | 16729632 |
| 0.1377 | 1.3377 | 8200 | 0.1617 | 17139952 |
| 0.0959 | 1.3703 | 8400 | 0.1617 | 17557136 |
| 0.2615 | 1.4030 | 8600 | 0.1614 | 17974864 |
| 0.0771 | 1.4356 | 8800 | 0.1597 | 18394320 |
| 0.2248 | 1.4682 | 9000 | 0.1604 | 18820208 |
| 0.0703 | 1.5009 | 9200 | 0.1585 | 19244192 |
| 0.2661 | 1.5335 | 9400 | 0.1603 | 19654192 |
| 0.1087 | 1.5661 | 9600 | 0.1738 | 20077520 |
| 0.2123 | 1.5987 | 9800 | 0.1638 | 20493344 |
| 0.1871 | 1.6314 | 10000 | 0.1566 | 20912896 |
| 0.1397 | 1.6640 | 10200 | 0.1566 | 21328976 |
| 0.1838 | 1.6966 | 10400 | 0.1564 | 21752192 |
| 0.2872 | 1.7293 | 10600 | 0.1562 | 22164912 |
| 0.1437 | 1.7619 | 10800 | 0.1552 | 22585216 |
| 0.1602 | 1.7945 | 11000 | 0.1577 | 23005600 |
| 0.1608 | 1.8271 | 11200 | 0.1566 | 23413712 |
| 0.1853 | 1.8598 | 11400 | 0.1552 | 23827536 |
| 0.2382 | 1.8924 | 11600 | 0.1547 | 24242256 |
| 0.1231 | 1.9250 | 11800 | 0.1562 | 24655408 |
| 0.1593 | 1.9577 | 12000 | 0.1571 | 25074096 |
| 0.1271 | 1.9903 | 12200 | 0.1541 | 25489056 |
| 0.1217 | 2.0228 | 12400 | 0.1539 | 25898496 |
| 0.3224 | 2.0555 | 12600 | 0.1561 | 26319696 |
| 0.1962 | 2.0881 | 12800 | 0.1537 | 26744896 |
| 0.1808 | 2.1207 | 13000 | 0.1565 | 27166064 |
| 0.0588 | 2.1534 | 13200 | 0.1540 | 27581264 |
| 0.1715 | 2.1860 | 13400 | 0.1535 | 27988880 |
| 0.0755 | 2.2186 | 13600 | 0.1599 | 28397472 |
| 0.2075 | 2.2512 | 13800 | 0.1544 | 28812800 |
| 0.1375 | 2.2839 | 14000 | 0.1569 | 29222656 |
| 0.0948 | 2.3165 | 14200 | 0.1556 | 29642224 |
| 0.2228 | 2.3491 | 14400 | 0.1553 | 30064704 |
| 0.206 | 2.3818 | 14600 | 0.1523 | 30481488 |
| 0.2614 | 2.4144 | 14800 | 0.1516 | 30900976 |
| 0.2144 | 2.4470 | 15000 | 0.1518 | 31321184 |
| 0.2015 | 2.4796 | 15200 | 0.1562 | 31730928 |
| 0.1263 | 2.5123 | 15400 | 0.1518 | 32146304 |
| 0.078 | 2.5449 | 15600 | 0.1538 | 32566096 |
| 0.1387 | 2.5775 | 15800 | 0.1526 | 32981664 |
| 0.0368 | 2.6102 | 16000 | 0.1515 | 33403328 |
| 0.1639 | 2.6428 | 16200 | 0.1536 | 33827808 |
| 0.1564 | 2.6754 | 16400 | 0.1503 | 34245456 |
| 0.0795 | 2.7081 | 16600 | 0.1516 | 34673616 |
| 0.0468 | 2.7407 | 16800 | 0.1520 | 35089872 |
| 0.1403 | 2.7733 | 17000 | 0.1517 | 35508944 |
| 0.1616 | 2.8059 | 17200 | 0.1561 | 35922144 |
| 0.2753 | 2.8386 | 17400 | 0.1502 | 36345856 |
| 0.0902 | 2.8712 | 17600 | 0.1507 | 36770688 |
| 0.1488 | 2.9038 | 17800 | 0.1514 | 37194864 |
| 0.0953 | 2.9365 | 18000 | 0.1510 | 37615344 |
| 0.077 | 2.9691 | 18200 | 0.1531 | 38030400 |
| 0.0876 | 3.0016 | 18400 | 0.1509 | 38435312 |
| 0.2077 | 3.0343 | 18600 | 0.1503 | 38869040 |
| 0.0981 | 3.0669 | 18800 | 0.1489 | 39294832 |
| 0.2002 | 3.0995 | 19000 | 0.1496 | 39706928 |
| 0.0804 | 3.1321 | 19200 | 0.1485 | 40121472 |
| 0.1886 | 3.1648 | 19400 | 0.1496 | 40537792 |
| 0.0639 | 3.1974 | 19600 | 0.1486 | 40958928 |
| 0.0807 | 3.2300 | 19800 | 0.1529 | 41378128 |
| 0.2395 | 3.2627 | 20000 | 0.1487 | 41794480 |
| 0.3287 | 3.2953 | 20200 | 0.1490 | 42208144 |
| 0.1315 | 3.3279 | 20400 | 0.1494 | 42625520 |
| 0.0903 | 3.3606 | 20600 | 0.1482 | 43054848 |
| 0.1272 | 3.3932 | 20800 | 0.1481 | 43472928 |
| 0.1451 | 3.4258 | 21000 | 0.1485 | 43892704 |
| 0.1077 | 3.4584 | 21200 | 0.1489 | 44309408 |
| 0.1034 | 3.4911 | 21400 | 0.1487 | 44724144 |
| 0.1073 | 3.5237 | 21600 | 0.1538 | 45143632 |
| 0.0487 | 3.5563 | 21800 | 0.1489 | 45567152 |
| 0.1089 | 3.5890 | 22000 | 0.1490 | 45983168 |
| 0.0441 | 3.6216 | 22200 | 0.1491 | 46401184 |
| 0.1729 | 3.6542 | 22400 | 0.1559 | 46813008 |
| 0.1677 | 3.6868 | 22600 | 0.1505 | 47233968 |
| 0.0671 | 3.7195 | 22800 | 0.1483 | 47650016 |
| 0.1531 | 3.7521 | 23000 | 0.1491 | 48064160 |
| 0.1185 | 3.7847 | 23200 | 0.1481 | 48484384 |
| 0.1924 | 3.8174 | 23400 | 0.1474 | 48897744 |
| 0.2113 | 3.8500 | 23600 | 0.1483 | 49308304 |
| 0.2101 | 3.8826 | 23800 | 0.1531 | 49728368 |
| 0.2145 | 3.9152 | 24000 | 0.1508 | 50140272 |
| 0.1506 | 3.9479 | 24200 | 0.1490 | 50557680 |
| 0.1616 | 3.9805 | 24400 | 0.1479 | 50978512 |
| 0.1815 | 4.0131 | 24600 | 0.1485 | 51394160 |
| 0.1009 | 4.0457 | 24800 | 0.1460 | 51821712 |
| 0.1093 | 4.0783 | 25000 | 0.1472 | 52244608 |
| 0.0902 | 4.1109 | 25200 | 0.1470 | 52659888 |
| 0.1097 | 4.1436 | 25400 | 0.1489 | 53073648 |
| 0.1237 | 4.1762 | 25600 | 0.1473 | 53493696 |
| 0.1174 | 4.2088 | 25800 | 0.1462 | 53907648 |
| 0.1013 | 4.2415 | 26000 | 0.1479 | 54327568 |
| 0.1924 | 4.2741 | 26200 | 0.1495 | 54743840 |
| 0.1208 | 4.3067 | 26400 | 0.1486 | 55158912 |
| 0.1074 | 4.3393 | 26600 | 0.1482 | 55575232 |
| 0.0959 | 4.3720 | 26800 | 0.1479 | 55994160 |
| 0.1721 | 4.4046 | 27000 | 0.1470 | 56410736 |
| 0.1117 | 4.4372 | 27200 | 0.1476 | 56838864 |
| 0.0809 | 4.4699 | 27400 | 0.1465 | 57245776 |
| 0.0728 | 4.5025 | 27600 | 0.1474 | 57651824 |
| 0.0711 | 4.5351 | 27800 | 0.1478 | 58060672 |
| 0.2079 | 4.5677 | 28000 | 0.1478 | 58475488 |
| 0.1568 | 4.6004 | 28200 | 0.1478 | 58898896 |
| 0.1535 | 4.6330 | 28400 | 0.1488 | 59318976 |
| 0.1921 | 4.6656 | 28600 | 0.1474 | 59739680 |
| 0.1951 | 4.6983 | 28800 | 0.1460 | 60159984 |
| 0.0631 | 4.7309 | 29000 | 0.1472 | 60579344 |
| 0.1807 | 4.7635 | 29200 | 0.1479 | 60992736 |
| 0.026 | 4.7961 | 29400 | 0.1469 | 61414080 |
| 0.1001 | 4.8288 | 29600 | 0.1468 | 61829776 |
| 0.0944 | 4.8614 | 29800 | 0.1471 | 62250704 |
| 0.0687 | 4.8940 | 30000 | 0.1466 | 62662656 |
| 0.0909 | 4.9267 | 30200 | 0.1477 | 63088352 |
| 0.0764 | 4.9593 | 30400 | 0.1487 | 63504960 |
| 0.1641 | 4.9919 | 30600 | 0.1474 | 63926432 |
| 0.1069 | 5.0245 | 30800 | 0.1476 | 64346032 |
| 0.176 | 5.0571 | 31000 | 0.1487 | 64764608 |
| 0.0301 | 5.0897 | 31200 | 0.1478 | 65180560 |
| 0.1166 | 5.1224 | 31400 | 0.1469 | 65600032 |
| 0.1037 | 5.1550 | 31600 | 0.1462 | 66007440 |
| 0.1412 | 5.1876 | 31800 | 0.1457 | 66416480 |
| 0.031 | 5.2202 | 32000 | 0.1459 | 66829712 |
| 0.0404 | 5.2529 | 32200 | 0.1461 | 67253936 |
| 0.0507 | 5.2855 | 32400 | 0.1465 | 67674048 |
| 0.3584 | 5.3181 | 32600 | 0.1466 | 68096656 |
| 0.2221 | 5.3508 | 32800 | 0.1464 | 68521600 |
| 0.0866 | 5.3834 | 33000 | 0.1466 | 68948064 |
| 0.1135 | 5.4160 | 33200 | 0.1460 | 69357008 |
| 0.1949 | 5.4486 | 33400 | 0.1467 | 69771824 |
| 0.2881 | 5.4813 | 33600 | 0.1468 | 70189824 |
| 0.0552 | 5.5139 | 33800 | 0.1461 | 70602704 |
| 0.0779 | 5.5465 | 34000 | 0.1462 | 71032768 |
| 0.1102 | 5.5792 | 34200 | 0.1462 | 71445488 |
| 0.1266 | 5.6118 | 34400 | 0.1460 | 71858096 |
| 0.0974 | 5.6444 | 34600 | 0.1460 | 72276272 |
| 0.1081 | 5.6771 | 34800 | 0.1461 | 72694032 |
| 0.0957 | 5.7097 | 35000 | 0.1464 | 73119856 |
| 0.2074 | 5.7423 | 35200 | 0.1467 | 73537984 |
| 0.0699 | 5.7749 | 35400 | 0.1466 | 73955216 |
| 0.0497 | 5.8076 | 35600 | 0.1468 | 74371040 |
| 0.2006 | 5.8402 | 35800 | 0.1469 | 74795680 |
| 0.0924 | 5.8728 | 36000 | 0.1465 | 75209824 |
| 0.0843 | 5.9055 | 36200 | 0.1469 | 75634096 |
| 0.1123 | 5.9381 | 36400 | 0.1468 | 76046144 |
| 0.0966 | 5.9707 | 36600 | 0.1469 | 76453936 |
| 0.1041 | 6.0033 | 36800 | 0.1468 | 76873152 |
| 0.1849 | 6.0359 | 37000 | 0.1468 | 77290000 |
| 0.1847 | 6.0685 | 37200 | 0.1469 | 77708416 |
| 0.0637 | 6.1012 | 37400 | 0.1468 | 78124432 |
| 0.0487 | 6.1338 | 37600 | 0.1470 | 78542400 |
| 0.2334 | 6.1664 | 37800 | 0.1461 | 78968368 |
| 0.0237 | 6.1990 | 38000 | 0.1467 | 79378528 |
| 0.3068 | 6.2317 | 38200 | 0.1467 | 79802112 |
| 0.1874 | 6.2643 | 38400 | 0.1470 | 80229344 |
| 0.081 | 6.2969 | 38600 | 0.1465 | 80643632 |
| 0.1335 | 6.3296 | 38800 | 0.1469 | 81051936 |
| 0.2042 | 6.3622 | 39000 | 0.1467 | 81475504 |
| 0.2154 | 6.3948 | 39200 | 0.1466 | 81889856 |
| 0.161 | 6.4274 | 39400 | 0.1471 | 82305408 |
| 0.1174 | 6.4601 | 39600 | 0.1471 | 82712800 |
| 0.0907 | 6.4927 | 39800 | 0.1471 | 83128704 |
| 0.0905 | 6.5253 | 40000 | 0.1471 | 83543088 |
### Framework versions
- PEFT 0.15.2.dev0
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1 |