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---
library_name: peft
license: gemma
base_model: google/gemma-3-1b-it
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
model-index:
- name: train_sst2_1744902618
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_sst2_1744902618
This model is a fine-tuned version of [google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it) on the sst2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0835
- Num Input Tokens Seen: 36181120
## 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: 0.3
- train_batch_size: 4
- eval_batch_size: 4
- seed: 123
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
|:-------------:|:-------:|:-----:|:---------------:|:-----------------:|
| 0.2762 | 0.0528 | 200 | 0.2764 | 180224 |
| 0.2356 | 0.1056 | 400 | 0.2239 | 361024 |
| 0.224 | 0.1584 | 600 | 0.2098 | 541408 |
| 0.202 | 0.2112 | 800 | 0.1897 | 722496 |
| 0.149 | 0.2640 | 1000 | 0.1768 | 903200 |
| 0.1626 | 0.3167 | 1200 | 0.1708 | 1084928 |
| 0.1431 | 0.3695 | 1400 | 0.1564 | 1265312 |
| 0.1372 | 0.4223 | 1600 | 0.2022 | 1447200 |
| 0.1373 | 0.4751 | 1800 | 0.1439 | 1628352 |
| 0.1464 | 0.5279 | 2000 | 0.2129 | 1809312 |
| 0.1684 | 0.5807 | 2200 | 0.1422 | 1992416 |
| 0.1122 | 0.6335 | 2400 | 0.1412 | 2171744 |
| 0.1436 | 0.6863 | 2600 | 0.1599 | 2352352 |
| 0.1558 | 0.7391 | 2800 | 0.1569 | 2532128 |
| 0.1363 | 0.7919 | 3000 | 0.1301 | 2713888 |
| 0.0991 | 0.8447 | 3200 | 0.1553 | 2894304 |
| 0.1103 | 0.8975 | 3400 | 0.1312 | 3076640 |
| 0.1415 | 0.9502 | 3600 | 0.1360 | 3257632 |
| 0.107 | 1.0029 | 3800 | 0.1303 | 3436976 |
| 0.1665 | 1.0557 | 4000 | 0.1465 | 3618672 |
| 0.178 | 1.1085 | 4200 | 0.1431 | 3800592 |
| 0.1298 | 1.1613 | 4400 | 0.1502 | 3980592 |
| 0.1262 | 1.2141 | 4600 | 0.1594 | 4161936 |
| 0.1062 | 1.2669 | 4800 | 0.1274 | 4343440 |
| 0.1005 | 1.3197 | 5000 | 0.1231 | 4526576 |
| 0.1116 | 1.3724 | 5200 | 0.1335 | 4707952 |
| 0.1202 | 1.4252 | 5400 | 0.1231 | 4887824 |
| 0.1279 | 1.4780 | 5600 | 0.1259 | 5068368 |
| 0.1274 | 1.5308 | 5800 | 0.1187 | 5250800 |
| 0.1038 | 1.5836 | 6000 | 0.1196 | 5431440 |
| 0.1364 | 1.6364 | 6200 | 0.1236 | 5611184 |
| 0.132 | 1.6892 | 6400 | 0.1157 | 5792144 |
| 0.1404 | 1.7420 | 6600 | 0.1149 | 5974000 |
| 0.1209 | 1.7948 | 6800 | 0.1158 | 6154320 |
| 0.1249 | 1.8476 | 7000 | 0.1182 | 6334608 |
| 0.0722 | 1.9004 | 7200 | 0.1163 | 6515152 |
| 0.1209 | 1.9531 | 7400 | 0.1158 | 6695472 |
| 0.1409 | 2.0058 | 7600 | 0.1144 | 6875184 |
| 0.1443 | 2.0586 | 7800 | 0.1148 | 7057584 |
| 0.1163 | 2.1114 | 8000 | 0.1174 | 7236880 |
| 0.0961 | 2.1642 | 8200 | 0.1296 | 7418160 |
| 0.1211 | 2.2170 | 8400 | 0.1127 | 7598544 |
| 0.0878 | 2.2698 | 8600 | 0.1183 | 7777744 |
| 0.1417 | 2.3226 | 8800 | 0.1131 | 7957552 |
| 0.0817 | 2.3753 | 9000 | 0.1093 | 8138448 |
| 0.0916 | 2.4281 | 9200 | 0.1110 | 8321584 |
| 0.092 | 2.4809 | 9400 | 0.1101 | 8502288 |
| 0.0983 | 2.5337 | 9600 | 0.1103 | 8684240 |
| 0.0718 | 2.5865 | 9800 | 0.1090 | 8866128 |
| 0.1192 | 2.6393 | 10000 | 0.1216 | 9045584 |
| 0.1236 | 2.6921 | 10200 | 0.1096 | 9225744 |
| 0.134 | 2.7449 | 10400 | 0.1126 | 9409616 |
| 0.1187 | 2.7977 | 10600 | 0.1050 | 9590384 |
| 0.0766 | 2.8505 | 10800 | 0.1155 | 9772624 |
| 0.0848 | 2.9033 | 11000 | 0.1032 | 9953712 |
| 0.1019 | 2.9561 | 11200 | 0.1102 | 10132784 |
| 0.115 | 3.0087 | 11400 | 0.1022 | 10312800 |
| 0.1159 | 3.0615 | 11600 | 0.1158 | 10492768 |
| 0.1052 | 3.1143 | 11800 | 0.1048 | 10673088 |
| 0.0716 | 3.1671 | 12000 | 0.1080 | 10854592 |
| 0.0559 | 3.2199 | 12200 | 0.1174 | 11035424 |
| 0.0517 | 3.2727 | 12400 | 0.1050 | 11217728 |
| 0.1134 | 3.3255 | 12600 | 0.1029 | 11400032 |
| 0.1257 | 3.3782 | 12800 | 0.1116 | 11580736 |
| 0.0788 | 3.4310 | 13000 | 0.1078 | 11761344 |
| 0.0954 | 3.4838 | 13200 | 0.1008 | 11940800 |
| 0.0898 | 3.5366 | 13400 | 0.1065 | 12121216 |
| 0.0888 | 3.5894 | 13600 | 0.1123 | 12302080 |
| 0.0668 | 3.6422 | 13800 | 0.1123 | 12482400 |
| 0.1347 | 3.6950 | 14000 | 0.1007 | 12664768 |
| 0.1077 | 3.7478 | 14200 | 0.0982 | 12845696 |
| 0.1079 | 3.8006 | 14400 | 0.0974 | 13026720 |
| 0.0745 | 3.8534 | 14600 | 0.0975 | 13207904 |
| 0.0452 | 3.9062 | 14800 | 0.0968 | 13389408 |
| 0.0793 | 3.9590 | 15000 | 0.0985 | 13569120 |
| 0.0547 | 4.0116 | 15200 | 0.0954 | 13749232 |
| 0.0511 | 4.0644 | 15400 | 0.1017 | 13929232 |
| 0.0941 | 4.1172 | 15600 | 0.0977 | 14111056 |
| 0.0524 | 4.1700 | 15800 | 0.0961 | 14290896 |
| 0.0615 | 4.2228 | 16000 | 0.1098 | 14470384 |
| 0.0992 | 4.2756 | 16200 | 0.0995 | 14650736 |
| 0.1054 | 4.3284 | 16400 | 0.0926 | 14834416 |
| 0.0435 | 4.3812 | 16600 | 0.0995 | 15014800 |
| 0.0581 | 4.4339 | 16800 | 0.0973 | 15194064 |
| 0.0435 | 4.4867 | 17000 | 0.0960 | 15376368 |
| 0.0862 | 4.5395 | 17200 | 0.0944 | 15556464 |
| 0.0601 | 4.5923 | 17400 | 0.0999 | 15738448 |
| 0.0972 | 4.6451 | 17600 | 0.0918 | 15919856 |
| 0.1025 | 4.6979 | 17800 | 0.0972 | 16100016 |
| 0.1033 | 4.7507 | 18000 | 0.0927 | 16282288 |
| 0.0942 | 4.8035 | 18200 | 0.0894 | 16461520 |
| 0.0679 | 4.8563 | 18400 | 0.0895 | 16642640 |
| 0.0635 | 4.9091 | 18600 | 0.0911 | 16825040 |
| 0.0637 | 4.9619 | 18800 | 0.0913 | 17006160 |
| 0.066 | 5.0145 | 19000 | 0.0909 | 17188336 |
| 0.0575 | 5.0673 | 19200 | 0.0934 | 17369104 |
| 0.0478 | 5.1201 | 19400 | 0.0901 | 17549968 |
| 0.0693 | 5.1729 | 19600 | 0.0919 | 17730032 |
| 0.1146 | 5.2257 | 19800 | 0.0902 | 17910128 |
| 0.0553 | 5.2785 | 20000 | 0.0890 | 18091056 |
| 0.0548 | 5.3313 | 20200 | 0.0906 | 18271440 |
| 0.1047 | 5.3841 | 20400 | 0.0868 | 18450832 |
| 0.0931 | 5.4368 | 20600 | 0.0866 | 18632304 |
| 0.0593 | 5.4896 | 20800 | 0.0887 | 18813264 |
| 0.0695 | 5.5424 | 21000 | 0.0907 | 18994928 |
| 0.0715 | 5.5952 | 21200 | 0.0906 | 19174960 |
| 0.0352 | 5.6480 | 21400 | 0.0894 | 19356976 |
| 0.0478 | 5.7008 | 21600 | 0.0897 | 19538672 |
| 0.0496 | 5.7536 | 21800 | 0.0846 | 19719600 |
| 0.0872 | 5.8064 | 22000 | 0.0862 | 19900592 |
| 0.0757 | 5.8592 | 22200 | 0.0880 | 20080976 |
| 0.0351 | 5.9120 | 22400 | 0.0839 | 20262096 |
| 0.0361 | 5.9648 | 22600 | 0.0880 | 20442992 |
| 0.0276 | 6.0174 | 22800 | 0.0912 | 20624000 |
| 0.0642 | 6.0702 | 23000 | 0.0901 | 20805728 |
| 0.0368 | 6.1230 | 23200 | 0.0905 | 20986976 |
| 0.0453 | 6.1758 | 23400 | 0.0891 | 21167808 |
| 0.0535 | 6.2286 | 23600 | 0.0918 | 21349184 |
| 0.0355 | 6.2814 | 23800 | 0.0945 | 21529376 |
| 0.018 | 6.3342 | 24000 | 0.0920 | 21710304 |
| 0.0335 | 6.3870 | 24200 | 0.0906 | 21889920 |
| 0.0718 | 6.4398 | 24400 | 0.0887 | 22070176 |
| 0.0411 | 6.4925 | 24600 | 0.0860 | 22249984 |
| 0.0506 | 6.5453 | 24800 | 0.0908 | 22432352 |
| 0.0504 | 6.5981 | 25000 | 0.0893 | 22612672 |
| 0.0514 | 6.6509 | 25200 | 0.0894 | 22793920 |
| 0.1031 | 6.7037 | 25400 | 0.0864 | 22974976 |
| 0.0644 | 6.7565 | 25600 | 0.0873 | 23155872 |
| 0.0625 | 6.8093 | 25800 | 0.0860 | 23338048 |
| 0.0601 | 6.8621 | 26000 | 0.0853 | 23518912 |
| 0.0691 | 6.9149 | 26200 | 0.0835 | 23700448 |
| 0.0419 | 6.9677 | 26400 | 0.0841 | 23880704 |
| 0.0413 | 7.0203 | 26600 | 0.0900 | 24061744 |
| 0.0474 | 7.0731 | 26800 | 0.0972 | 24240720 |
| 0.0218 | 7.1259 | 27000 | 0.0954 | 24423344 |
| 0.0721 | 7.1787 | 27200 | 0.0926 | 24603344 |
| 0.0302 | 7.2315 | 27400 | 0.0966 | 24784688 |
| 0.0196 | 7.2843 | 27600 | 0.0925 | 24965104 |
| 0.0322 | 7.3371 | 27800 | 0.0931 | 25146416 |
| 0.0148 | 7.3899 | 28000 | 0.0937 | 25327344 |
| 0.0333 | 7.4427 | 28200 | 0.0908 | 25507504 |
| 0.0388 | 7.4954 | 28400 | 0.0940 | 25688464 |
| 0.0489 | 7.5482 | 28600 | 0.0934 | 25870064 |
| 0.0296 | 7.6010 | 28800 | 0.0934 | 26051856 |
| 0.0221 | 7.6538 | 29000 | 0.0914 | 26232080 |
| 0.037 | 7.7066 | 29200 | 0.0880 | 26415344 |
| 0.0199 | 7.7594 | 29400 | 0.0934 | 26597616 |
| 0.0197 | 7.8122 | 29600 | 0.0916 | 26779344 |
| 0.0293 | 7.8650 | 29800 | 0.0936 | 26960208 |
| 0.012 | 7.9178 | 30000 | 0.0933 | 27142320 |
| 0.0393 | 7.9706 | 30200 | 0.0930 | 27322864 |
| 0.0263 | 8.0232 | 30400 | 0.0981 | 27502208 |
| 0.0355 | 8.0760 | 30600 | 0.1016 | 27683072 |
| 0.0093 | 8.1288 | 30800 | 0.1000 | 27864736 |
| 0.0177 | 8.1816 | 31000 | 0.1028 | 28044640 |
| 0.0156 | 8.2344 | 31200 | 0.1045 | 28226016 |
| 0.0373 | 8.2872 | 31400 | 0.1024 | 28406464 |
| 0.0261 | 8.3400 | 31600 | 0.1033 | 28587264 |
| 0.0439 | 8.3928 | 31800 | 0.1067 | 28767840 |
| 0.0105 | 8.4456 | 32000 | 0.1014 | 28948576 |
| 0.0402 | 8.4984 | 32200 | 0.1027 | 29130656 |
| 0.0163 | 8.5511 | 32400 | 0.1047 | 29312288 |
| 0.0351 | 8.6039 | 32600 | 0.1015 | 29492416 |
| 0.0599 | 8.6567 | 32800 | 0.1023 | 29672864 |
| 0.0217 | 8.7095 | 33000 | 0.0995 | 29854336 |
| 0.0126 | 8.7623 | 33200 | 0.1003 | 30036448 |
| 0.0088 | 8.8151 | 33400 | 0.0993 | 30216896 |
| 0.0306 | 8.8679 | 33600 | 0.1010 | 30396960 |
| 0.0189 | 8.9207 | 33800 | 0.1013 | 30576960 |
| 0.0232 | 8.9735 | 34000 | 0.1004 | 30759200 |
| 0.0119 | 9.0261 | 34200 | 0.1030 | 30938880 |
| 0.013 | 9.0789 | 34400 | 0.1044 | 31120480 |
| 0.0235 | 9.1317 | 34600 | 0.1055 | 31301056 |
| 0.0111 | 9.1845 | 34800 | 0.1084 | 31481824 |
| 0.0262 | 9.2373 | 35000 | 0.1098 | 31661536 |
| 0.0061 | 9.2901 | 35200 | 0.1102 | 31842016 |
| 0.0098 | 9.3429 | 35400 | 0.1106 | 32021408 |
| 0.0155 | 9.3957 | 35600 | 0.1111 | 32202368 |
| 0.0077 | 9.4485 | 35800 | 0.1096 | 32381184 |
| 0.008 | 9.5013 | 36000 | 0.1101 | 32562688 |
| 0.0194 | 9.5540 | 36200 | 0.1113 | 32743456 |
| 0.0371 | 9.6068 | 36400 | 0.1116 | 32926592 |
| 0.0185 | 9.6596 | 36600 | 0.1117 | 33105696 |
| 0.0174 | 9.7124 | 36800 | 0.1115 | 33286560 |
| 0.0269 | 9.7652 | 37000 | 0.1112 | 33468000 |
| 0.0089 | 9.8180 | 37200 | 0.1113 | 33650176 |
| 0.0098 | 9.8708 | 37400 | 0.1114 | 33831008 |
| 0.0086 | 9.9236 | 37600 | 0.1113 | 34012992 |
| 0.0102 | 9.9764 | 37800 | 0.1114 | 34195168 |
| 0.0149 | 10.0290 | 38000 | 0.1117 | 34373792 |
| 0.014 | 10.0818 | 38200 | 0.1113 | 34553856 |
| 0.0127 | 10.1346 | 38400 | 0.1121 | 34734976 |
| 0.0143 | 10.1874 | 38600 | 0.1117 | 34915936 |
| 0.0073 | 10.2402 | 38800 | 0.1116 | 35096960 |
| 0.0124 | 10.2930 | 39000 | 0.1121 | 35276448 |
| 0.0143 | 10.3458 | 39200 | 0.1120 | 35457088 |
| 0.0212 | 10.3986 | 39400 | 0.1123 | 35637600 |
| 0.0083 | 10.4514 | 39600 | 0.1119 | 35817824 |
| 0.0159 | 10.5042 | 39800 | 0.1114 | 35999840 |
| 0.0205 | 10.5569 | 40000 | 0.1121 | 36181120 |
### Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1 |