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---
library_name: peft
license: gemma
base_model: google/gemma-3-1b-it
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: train_multirc_1745950261
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_1745950261
This model is a fine-tuned version of [google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it) on the multirc dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1211
- Num Input Tokens Seen: 76963024
## 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 |
|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
| 0.08 | 0.0326 | 200 | 0.2234 | 385088 |
| 0.1261 | 0.0653 | 400 | 0.1989 | 770352 |
| 0.1522 | 0.0979 | 600 | 0.1723 | 1160480 |
| 0.1221 | 0.1305 | 800 | 0.1739 | 1543296 |
| 0.1766 | 0.1631 | 1000 | 0.1777 | 1931808 |
| 0.163 | 0.1958 | 1200 | 0.1671 | 2315744 |
| 0.1673 | 0.2284 | 1400 | 0.1596 | 2710208 |
| 0.1716 | 0.2610 | 1600 | 0.1688 | 3095216 |
| 0.1506 | 0.2937 | 1800 | 0.1690 | 3483504 |
| 0.2079 | 0.3263 | 2000 | 0.1562 | 3872976 |
| 0.1947 | 0.3589 | 2200 | 0.1469 | 4254272 |
| 0.1659 | 0.3915 | 2400 | 0.1536 | 4637376 |
| 0.2789 | 0.4242 | 2600 | 0.1615 | 5019664 |
| 0.3232 | 0.4568 | 2800 | 0.1565 | 5406912 |
| 0.2185 | 0.4894 | 3000 | 0.1482 | 5786080 |
| 0.2453 | 0.5221 | 3200 | 0.1551 | 6167600 |
| 0.1106 | 0.5547 | 3400 | 0.1408 | 6553904 |
| 0.0803 | 0.5873 | 3600 | 0.1552 | 6936656 |
| 0.1782 | 0.6200 | 3800 | 0.1527 | 7321136 |
| 0.1269 | 0.6526 | 4000 | 0.1362 | 7709856 |
| 0.0605 | 0.6852 | 4200 | 0.1374 | 8100560 |
| 0.1342 | 0.7178 | 4400 | 0.1396 | 8482208 |
| 0.1543 | 0.7505 | 4600 | 0.1348 | 8868016 |
| 0.1647 | 0.7831 | 4800 | 0.1546 | 9254560 |
| 0.0188 | 0.8157 | 5000 | 0.1499 | 9634544 |
| 0.1237 | 0.8484 | 5200 | 0.1352 | 10013984 |
| 0.1465 | 0.8810 | 5400 | 0.1589 | 10397792 |
| 0.1414 | 0.9136 | 5600 | 0.1299 | 10784512 |
| 0.1428 | 0.9462 | 5800 | 0.1285 | 11165168 |
| 0.1544 | 0.9789 | 6000 | 0.1308 | 11553056 |
| 0.0942 | 1.0114 | 6200 | 0.1494 | 11940352 |
| 0.1933 | 1.0440 | 6400 | 0.1410 | 12331920 |
| 0.0982 | 1.0767 | 6600 | 0.1456 | 12726352 |
| 0.2651 | 1.1093 | 6800 | 0.1489 | 13105200 |
| 0.106 | 1.1419 | 7000 | 0.1428 | 13483648 |
| 0.0809 | 1.1746 | 7200 | 0.1451 | 13862816 |
| 0.0991 | 1.2072 | 7400 | 0.1381 | 14252288 |
| 0.0932 | 1.2398 | 7600 | 0.1447 | 14638816 |
| 0.1439 | 1.2725 | 7800 | 0.1407 | 15024560 |
| 0.0544 | 1.3051 | 8000 | 0.1474 | 15412000 |
| 0.1348 | 1.3377 | 8200 | 0.1367 | 15789456 |
| 0.0182 | 1.3703 | 8400 | 0.1446 | 16173616 |
| 0.0708 | 1.4030 | 8600 | 0.1318 | 16558464 |
| 0.0205 | 1.4356 | 8800 | 0.1464 | 16945488 |
| 0.1505 | 1.4682 | 9000 | 0.1335 | 17338800 |
| 0.1536 | 1.5009 | 9200 | 0.1346 | 17729104 |
| 0.1391 | 1.5335 | 9400 | 0.1540 | 18107328 |
| 0.044 | 1.5661 | 9600 | 0.1414 | 18497776 |
| 0.1508 | 1.5987 | 9800 | 0.1487 | 18881008 |
| 0.1213 | 1.6314 | 10000 | 0.1376 | 19266960 |
| 0.1004 | 1.6640 | 10200 | 0.1352 | 19650480 |
| 0.2218 | 1.6966 | 10400 | 0.1263 | 20041120 |
| 0.1434 | 1.7293 | 10600 | 0.1211 | 20421120 |
| 0.0432 | 1.7619 | 10800 | 0.1398 | 20808496 |
| 0.2285 | 1.7945 | 11000 | 0.1459 | 21195024 |
| 0.1986 | 1.8271 | 11200 | 0.1308 | 21570368 |
| 0.172 | 1.8598 | 11400 | 0.1249 | 21950896 |
| 0.1569 | 1.8924 | 11600 | 0.1369 | 22333376 |
| 0.0447 | 1.9250 | 11800 | 0.1266 | 22714512 |
| 0.081 | 1.9577 | 12000 | 0.1330 | 23099888 |
| 0.0422 | 1.9903 | 12200 | 0.1476 | 23482400 |
| 0.0054 | 2.0228 | 12400 | 0.1638 | 23860160 |
| 0.1379 | 2.0555 | 12600 | 0.2061 | 24249008 |
| 0.1184 | 2.0881 | 12800 | 0.1539 | 24639552 |
| 0.0284 | 2.1207 | 13000 | 0.1641 | 25026880 |
| 0.0089 | 2.1534 | 13200 | 0.1504 | 25410448 |
| 0.0075 | 2.1860 | 13400 | 0.1620 | 25785744 |
| 0.0404 | 2.2186 | 13600 | 0.1707 | 26163104 |
| 0.0478 | 2.2512 | 13800 | 0.1779 | 26546240 |
| 0.0021 | 2.2839 | 14000 | 0.1686 | 26923408 |
| 0.0934 | 2.3165 | 14200 | 0.1713 | 27309344 |
| 0.1286 | 2.3491 | 14400 | 0.1713 | 27698752 |
| 0.0139 | 2.3818 | 14600 | 0.1627 | 28082208 |
| 0.163 | 2.4144 | 14800 | 0.1569 | 28468576 |
| 0.0111 | 2.4470 | 15000 | 0.1583 | 28856272 |
| 0.1074 | 2.4796 | 15200 | 0.1569 | 29234704 |
| 0.0931 | 2.5123 | 15400 | 0.1757 | 29617728 |
| 0.1366 | 2.5449 | 15600 | 0.1763 | 30004032 |
| 0.0933 | 2.5775 | 15800 | 0.1607 | 30386752 |
| 0.0025 | 2.6102 | 16000 | 0.2009 | 30774224 |
| 0.071 | 2.6428 | 16200 | 0.1653 | 31164304 |
| 0.1059 | 2.6754 | 16400 | 0.1721 | 31548832 |
| 0.0747 | 2.7081 | 16600 | 0.1902 | 31943568 |
| 0.0031 | 2.7407 | 16800 | 0.1783 | 32327088 |
| 0.0657 | 2.7733 | 17000 | 0.1592 | 32713728 |
| 0.0995 | 2.8059 | 17200 | 0.2045 | 33093744 |
| 0.2777 | 2.8386 | 17400 | 0.1505 | 33484336 |
| 0.0597 | 2.8712 | 17600 | 0.1721 | 33875072 |
| 0.1232 | 2.9038 | 17800 | 0.1584 | 34264832 |
| 0.2073 | 2.9365 | 18000 | 0.1847 | 34652800 |
| 0.0482 | 2.9691 | 18200 | 0.1612 | 35036144 |
| 0.0212 | 3.0016 | 18400 | 0.1658 | 35410304 |
| 0.0058 | 3.0343 | 18600 | 0.2092 | 35808688 |
| 0.048 | 3.0669 | 18800 | 0.1843 | 36200720 |
| 0.1001 | 3.0995 | 19000 | 0.2211 | 36580112 |
| 0.1011 | 3.1321 | 19200 | 0.2259 | 36961872 |
| 0.0699 | 3.1648 | 19400 | 0.2151 | 37345136 |
| 0.0018 | 3.1974 | 19600 | 0.2247 | 37732992 |
| 0.0134 | 3.2300 | 19800 | 0.2321 | 38118784 |
| 0.0028 | 3.2627 | 20000 | 0.2168 | 38503392 |
| 0.2017 | 3.2953 | 20200 | 0.2045 | 38885696 |
| 0.0441 | 3.3279 | 20400 | 0.2047 | 39270320 |
| 0.0007 | 3.3606 | 20600 | 0.2137 | 39665472 |
| 0.0745 | 3.3932 | 20800 | 0.2169 | 40049680 |
| 0.0049 | 3.4258 | 21000 | 0.2401 | 40436560 |
| 0.0513 | 3.4584 | 21200 | 0.2144 | 40820704 |
| 0.0909 | 3.4911 | 21400 | 0.2306 | 41202080 |
| 0.0033 | 3.5237 | 21600 | 0.2202 | 41588560 |
| 0.0445 | 3.5563 | 21800 | 0.2221 | 41977888 |
| 0.0054 | 3.5890 | 22000 | 0.2167 | 42361392 |
| 0.0047 | 3.6216 | 22200 | 0.2271 | 42746416 |
| 0.0009 | 3.6542 | 22400 | 0.2559 | 43126400 |
| 0.1059 | 3.6868 | 22600 | 0.2280 | 43513248 |
| 0.1354 | 3.7195 | 22800 | 0.2297 | 43896720 |
| 0.1154 | 3.7521 | 23000 | 0.2093 | 44278640 |
| 0.0173 | 3.7847 | 23200 | 0.2116 | 44666464 |
| 0.0032 | 3.8174 | 23400 | 0.2078 | 45047360 |
| 0.0808 | 3.8500 | 23600 | 0.2206 | 45426496 |
| 0.1363 | 3.8826 | 23800 | 0.2621 | 45813536 |
| 0.1103 | 3.9152 | 24000 | 0.2262 | 46192656 |
| 0.0641 | 3.9479 | 24200 | 0.2039 | 46576928 |
| 0.1402 | 3.9805 | 24400 | 0.2130 | 46965120 |
| 0.0794 | 4.0131 | 24600 | 0.2452 | 47347920 |
| 0.0025 | 4.0457 | 24800 | 0.2809 | 47741360 |
| 0.0002 | 4.0783 | 25000 | 0.3015 | 48131120 |
| 0.0777 | 4.1109 | 25200 | 0.3439 | 48513200 |
| 0.0003 | 4.1436 | 25400 | 0.3472 | 48894496 |
| 0.059 | 4.1762 | 25600 | 0.3460 | 49280736 |
| 0.0571 | 4.2088 | 25800 | 0.3478 | 49662304 |
| 0.0 | 4.2415 | 26000 | 0.3317 | 50049312 |
| 0.0008 | 4.2741 | 26200 | 0.2933 | 50433008 |
| 0.0881 | 4.3067 | 26400 | 0.2598 | 50815824 |
| 0.0003 | 4.3393 | 26600 | 0.3101 | 51200224 |
| 0.0034 | 4.3720 | 26800 | 0.2957 | 51585680 |
| 0.0809 | 4.4046 | 27000 | 0.2965 | 51969184 |
| 0.0639 | 4.4372 | 27200 | 0.3127 | 52363216 |
| 0.0635 | 4.4699 | 27400 | 0.3071 | 52737552 |
| 0.0045 | 4.5025 | 27600 | 0.3099 | 53112128 |
| 0.053 | 4.5351 | 27800 | 0.2939 | 53489200 |
| 0.011 | 4.5677 | 28000 | 0.2899 | 53870832 |
| 0.1026 | 4.6004 | 28200 | 0.2872 | 54260848 |
| 0.1132 | 4.6330 | 28400 | 0.3090 | 54647840 |
| 0.0013 | 4.6656 | 28600 | 0.2591 | 55035376 |
| 0.0017 | 4.6983 | 28800 | 0.2717 | 55421296 |
| 0.0021 | 4.7309 | 29000 | 0.3105 | 55807776 |
| 0.0026 | 4.7635 | 29200 | 0.3254 | 56188960 |
| 0.0 | 4.7961 | 29400 | 0.3105 | 56576864 |
| 0.0004 | 4.8288 | 29600 | 0.2931 | 56959888 |
| 0.002 | 4.8614 | 29800 | 0.3230 | 57347776 |
| 0.0001 | 4.8940 | 30000 | 0.3146 | 57727072 |
| 0.0019 | 4.9267 | 30200 | 0.2772 | 58119904 |
| 0.0009 | 4.9593 | 30400 | 0.2872 | 58503776 |
| 0.0006 | 4.9919 | 30600 | 0.2908 | 58892528 |
| 0.0736 | 5.0245 | 30800 | 0.2989 | 59278112 |
| 0.0017 | 5.0571 | 31000 | 0.3235 | 59663264 |
| 0.0006 | 5.0897 | 31200 | 0.3357 | 60047056 |
| 0.0002 | 5.1224 | 31400 | 0.3460 | 60433680 |
| 0.0001 | 5.1550 | 31600 | 0.3557 | 60809376 |
| 0.0002 | 5.1876 | 31800 | 0.3558 | 61186608 |
| 0.0001 | 5.2202 | 32000 | 0.3640 | 61567504 |
| 0.0008 | 5.2529 | 32200 | 0.3641 | 61958976 |
| 0.0005 | 5.2855 | 32400 | 0.3603 | 62346176 |
| 0.0829 | 5.3181 | 32600 | 0.3541 | 62734064 |
| 0.0001 | 5.3508 | 32800 | 0.3812 | 63124752 |
| 0.0588 | 5.3834 | 33000 | 0.4010 | 63517792 |
| 0.0015 | 5.4160 | 33200 | 0.4077 | 63894896 |
| 0.0001 | 5.4486 | 33400 | 0.4231 | 64277584 |
| 0.0001 | 5.4813 | 33600 | 0.4216 | 64661856 |
| 0.0 | 5.5139 | 33800 | 0.4218 | 65043136 |
| 0.0 | 5.5465 | 34000 | 0.4287 | 65439360 |
| 0.0002 | 5.5792 | 34200 | 0.4232 | 65819600 |
| 0.0002 | 5.6118 | 34400 | 0.4321 | 66199376 |
| 0.0015 | 5.6444 | 34600 | 0.4343 | 66583936 |
| 0.0 | 5.6771 | 34800 | 0.4237 | 66968960 |
| 0.0001 | 5.7097 | 35000 | 0.4073 | 67361344 |
| 0.0024 | 5.7423 | 35200 | 0.4150 | 67746288 |
| 0.0138 | 5.7749 | 35400 | 0.4070 | 68131952 |
| 0.0 | 5.8076 | 35600 | 0.4128 | 68514656 |
| 0.0003 | 5.8402 | 35800 | 0.4170 | 68904544 |
| 0.0001 | 5.8728 | 36000 | 0.4164 | 69286320 |
| 0.1023 | 5.9055 | 36200 | 0.4186 | 69676640 |
| 0.0001 | 5.9381 | 36400 | 0.4263 | 70057024 |
| 0.0 | 5.9707 | 36600 | 0.4205 | 70432848 |
| 0.0001 | 6.0033 | 36800 | 0.4215 | 70819440 |
| 0.0001 | 6.0359 | 37000 | 0.4249 | 71203008 |
| 0.1001 | 6.0685 | 37200 | 0.4255 | 71588672 |
| 0.0 | 6.1012 | 37400 | 0.4247 | 71972608 |
| 0.0 | 6.1338 | 37600 | 0.4275 | 72358032 |
| 0.0205 | 6.1664 | 37800 | 0.4306 | 72749840 |
| 0.0 | 6.1990 | 38000 | 0.4313 | 73128448 |
| 0.0489 | 6.2317 | 38200 | 0.4279 | 73518048 |
| 0.0027 | 6.2643 | 38400 | 0.4313 | 73911328 |
| 0.0022 | 6.2969 | 38600 | 0.4321 | 74293168 |
| 0.0001 | 6.3296 | 38800 | 0.4322 | 74668864 |
| 0.0815 | 6.3622 | 39000 | 0.4304 | 75058640 |
| 0.0 | 6.3948 | 39200 | 0.4323 | 75440784 |
| 0.0003 | 6.4274 | 39400 | 0.4313 | 75822528 |
| 0.0001 | 6.4601 | 39600 | 0.4323 | 76198368 |
| 0.0001 | 6.4927 | 39800 | 0.4305 | 76581104 |
| 0.0001 | 6.5253 | 40000 | 0.4291 | 76963024 |
### Framework versions
- PEFT 0.15.2.dev0
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1 |