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---
library_name: peft
license: gemma
base_model: google/gemma-3-1b-it
tags:
- llama-factory
- lora
- generated_from_trainer
datasets:
- super_glue
model-index:
- name: train_cb_1745950310
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_cb_1745950310
This model is a fine-tuned version of [google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it) on the cb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2460
- Num Input Tokens Seen: 22718312
## 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 |
|:-------------:|:--------:|:-----:|:---------------:|:-----------------:|
| 0.1231 | 3.5133 | 200 | 0.2983 | 114504 |
| 0.0 | 7.0177 | 400 | 0.2772 | 228504 |
| 0.0 | 10.5310 | 600 | 0.2460 | 341136 |
| 0.0 | 14.0354 | 800 | 0.3245 | 455488 |
| 0.0 | 17.5487 | 1000 | 0.3226 | 569504 |
| 0.0 | 21.0531 | 1200 | 0.3285 | 682024 |
| 0.0 | 24.5664 | 1400 | 0.3362 | 796328 |
| 0.0 | 28.0708 | 1600 | 0.3420 | 909320 |
| 0.0 | 31.5841 | 1800 | 0.3482 | 1023696 |
| 0.0 | 35.0885 | 2000 | 0.3368 | 1137280 |
| 0.0 | 38.6018 | 2200 | 0.3498 | 1251592 |
| 0.0 | 42.1062 | 2400 | 0.3494 | 1364312 |
| 0.0 | 45.6195 | 2600 | 0.3590 | 1478704 |
| 0.0 | 49.1239 | 2800 | 0.3601 | 1591424 |
| 0.0 | 52.6372 | 3000 | 0.3583 | 1705000 |
| 0.0 | 56.1416 | 3200 | 0.3588 | 1818688 |
| 0.0 | 59.6549 | 3400 | 0.3548 | 1932248 |
| 0.0 | 63.1593 | 3600 | 0.3601 | 2045464 |
| 0.0 | 66.6726 | 3800 | 0.3658 | 2159128 |
| 0.0 | 70.1770 | 4000 | 0.3729 | 2272792 |
| 0.0 | 73.6903 | 4200 | 0.3782 | 2387344 |
| 0.0 | 77.1947 | 4400 | 0.3814 | 2500160 |
| 0.0 | 80.7080 | 4600 | 0.3626 | 2614032 |
| 0.0 | 84.2124 | 4800 | 0.3679 | 2728488 |
| 0.0 | 87.7257 | 5000 | 0.3792 | 2842656 |
| 0.0 | 91.2301 | 5200 | 0.3791 | 2956824 |
| 0.0 | 94.7434 | 5400 | 0.4004 | 3069840 |
| 0.0 | 98.2478 | 5600 | 0.3897 | 3183600 |
| 0.0 | 101.7611 | 5800 | 0.3824 | 3297896 |
| 0.0 | 105.2655 | 6000 | 0.3835 | 3411544 |
| 0.0 | 108.7788 | 6200 | 0.3907 | 3525472 |
| 0.0 | 112.2832 | 6400 | 0.4030 | 3638584 |
| 0.0 | 115.7965 | 6600 | 0.4009 | 3752608 |
| 0.0 | 119.3009 | 6800 | 0.4006 | 3865376 |
| 0.0 | 122.8142 | 7000 | 0.4033 | 3979464 |
| 0.0 | 126.3186 | 7200 | 0.4094 | 4093296 |
| 0.0 | 129.8319 | 7400 | 0.4080 | 4207120 |
| 0.0 | 133.3363 | 7600 | 0.4074 | 4320568 |
| 0.0 | 136.8496 | 7800 | 0.4120 | 4434056 |
| 0.0 | 140.3540 | 8000 | 0.4256 | 4547840 |
| 0.0 | 143.8673 | 8200 | 0.4117 | 4662192 |
| 0.0 | 147.3717 | 8400 | 0.4215 | 4774160 |
| 0.0 | 150.8850 | 8600 | 0.4241 | 4887640 |
| 0.0 | 154.3894 | 8800 | 0.4225 | 5002864 |
| 0.0 | 157.9027 | 9000 | 0.4309 | 5116216 |
| 0.0 | 161.4071 | 9200 | 0.4269 | 5229496 |
| 0.0 | 164.9204 | 9400 | 0.4272 | 5343528 |
| 0.0 | 168.4248 | 9600 | 0.4281 | 5455520 |
| 0.0 | 171.9381 | 9800 | 0.4237 | 5571144 |
| 0.0 | 175.4425 | 10000 | 0.4401 | 5684752 |
| 0.0 | 178.9558 | 10200 | 0.4291 | 5799088 |
| 0.0 | 182.4602 | 10400 | 0.4354 | 5911888 |
| 0.0 | 185.9735 | 10600 | 0.4433 | 6025544 |
| 0.0 | 189.4779 | 10800 | 0.4493 | 6139264 |
| 0.0 | 192.9912 | 11000 | 0.4488 | 6252832 |
| 0.0 | 196.4956 | 11200 | 0.4484 | 6366440 |
| 0.0 | 200.0 | 11400 | 0.4492 | 6478776 |
| 0.0 | 203.5133 | 11600 | 0.4521 | 6592280 |
| 0.0 | 207.0177 | 11800 | 0.4557 | 6704968 |
| 0.0 | 210.5310 | 12000 | 0.4463 | 6819568 |
| 0.0 | 214.0354 | 12200 | 0.4519 | 6933264 |
| 0.0 | 217.5487 | 12400 | 0.4537 | 7045688 |
| 0.0 | 221.0531 | 12600 | 0.4610 | 7159888 |
| 0.0 | 224.5664 | 12800 | 0.4564 | 7274296 |
| 0.0 | 228.0708 | 13000 | 0.4594 | 7387544 |
| 0.0 | 231.5841 | 13200 | 0.4661 | 7500200 |
| 0.0 | 235.0885 | 13400 | 0.4695 | 7614696 |
| 0.0 | 238.6018 | 13600 | 0.4755 | 7727608 |
| 0.0 | 242.1062 | 13800 | 0.4837 | 7840696 |
| 0.0 | 245.6195 | 14000 | 0.4702 | 7954632 |
| 0.0 | 249.1239 | 14200 | 0.4909 | 8068648 |
| 0.0 | 252.6372 | 14400 | 0.4822 | 8181840 |
| 0.0 | 256.1416 | 14600 | 0.4791 | 8294896 |
| 0.0 | 259.6549 | 14800 | 0.4915 | 8408512 |
| 0.0 | 263.1593 | 15000 | 0.4854 | 8522664 |
| 0.0 | 266.6726 | 15200 | 0.5012 | 8636032 |
| 0.0 | 270.1770 | 15400 | 0.5022 | 8748624 |
| 0.0 | 273.6903 | 15600 | 0.5095 | 8863248 |
| 0.0 | 277.1947 | 15800 | 0.5141 | 8976424 |
| 0.0 | 280.7080 | 16000 | 0.5122 | 9088984 |
| 0.0 | 284.2124 | 16200 | 0.5215 | 9204128 |
| 0.0 | 287.7257 | 16400 | 0.5182 | 9317208 |
| 0.0 | 291.2301 | 16600 | 0.5424 | 9431208 |
| 0.0 | 294.7434 | 16800 | 0.5420 | 9544328 |
| 0.0 | 298.2478 | 17000 | 0.5455 | 9657432 |
| 0.0 | 301.7611 | 17200 | 0.5556 | 9770824 |
| 0.0 | 305.2655 | 17400 | 0.5646 | 9884648 |
| 0.0 | 308.7788 | 17600 | 0.5576 | 9997288 |
| 0.0 | 312.2832 | 17800 | 0.5532 | 10111472 |
| 0.0 | 315.7965 | 18000 | 0.5568 | 10223648 |
| 0.0 | 319.3009 | 18200 | 0.5883 | 10336864 |
| 0.0 | 322.8142 | 18400 | 0.5703 | 10450688 |
| 0.0 | 326.3186 | 18600 | 0.5664 | 10563128 |
| 0.0 | 329.8319 | 18800 | 0.5949 | 10677928 |
| 0.0 | 333.3363 | 19000 | 0.5918 | 10790896 |
| 0.0 | 336.8496 | 19200 | 0.5862 | 10904600 |
| 0.0 | 340.3540 | 19400 | 0.5627 | 11018112 |
| 0.0 | 343.8673 | 19600 | 0.6012 | 11131712 |
| 0.0 | 347.3717 | 19800 | 0.5383 | 11245728 |
| 0.0 | 350.8850 | 20000 | 0.5387 | 11358800 |
| 0.0 | 354.3894 | 20200 | 0.5425 | 11471832 |
| 0.0 | 357.9027 | 20400 | 0.5417 | 11586368 |
| 0.0 | 361.4071 | 20600 | 0.5680 | 11700176 |
| 0.0 | 364.9204 | 20800 | 0.5215 | 11814304 |
| 0.0 | 368.4248 | 21000 | 0.5595 | 11927464 |
| 0.0 | 371.9381 | 21200 | 0.5175 | 12041416 |
| 0.0 | 375.4425 | 21400 | 0.5527 | 12153176 |
| 0.0 | 378.9558 | 21600 | 0.5344 | 12267984 |
| 0.0 | 382.4602 | 21800 | 0.5042 | 12381424 |
| 0.0 | 385.9735 | 22000 | 0.5430 | 12494280 |
| 0.0 | 389.4779 | 22200 | 0.5208 | 12608008 |
| 0.0 | 392.9912 | 22400 | 0.5807 | 12721456 |
| 0.0 | 396.4956 | 22600 | 0.5171 | 12835240 |
| 0.0 | 400.0 | 22800 | 0.5288 | 12948416 |
| 0.0 | 403.5133 | 23000 | 0.5604 | 13061472 |
| 0.0 | 407.0177 | 23200 | 0.5698 | 13175888 |
| 0.0 | 410.5310 | 23400 | 0.5086 | 13289752 |
| 0.0 | 414.0354 | 23600 | 0.4858 | 13403848 |
| 0.0 | 417.5487 | 23800 | 0.5353 | 13518496 |
| 0.0 | 421.0531 | 24000 | 0.4958 | 13631704 |
| 0.0 | 424.5664 | 24200 | 0.4936 | 13745200 |
| 0.0 | 428.0708 | 24400 | 0.5261 | 13859752 |
| 0.0 | 431.5841 | 24600 | 0.5022 | 13972648 |
| 0.0 | 435.0885 | 24800 | 0.5777 | 14086360 |
| 0.0 | 438.6018 | 25000 | 0.5152 | 14201656 |
| 0.0 | 442.1062 | 25200 | 0.5149 | 14314736 |
| 0.0 | 445.6195 | 25400 | 0.5318 | 14428104 |
| 0.0 | 449.1239 | 25600 | 0.4894 | 14541136 |
| 0.0 | 452.6372 | 25800 | 0.5164 | 14655696 |
| 0.0 | 456.1416 | 26000 | 0.5153 | 14768168 |
| 0.0 | 459.6549 | 26200 | 0.5005 | 14882048 |
| 0.0 | 463.1593 | 26400 | 0.5168 | 14996008 |
| 0.139 | 466.6726 | 26600 | 0.8271 | 15109352 |
| 0.0 | 470.1770 | 26800 | 0.9104 | 15223592 |
| 0.0 | 473.6903 | 27000 | 0.9009 | 15338072 |
| 0.0 | 477.1947 | 27200 | 0.9213 | 15451312 |
| 0.0 | 480.7080 | 27400 | 0.9220 | 15565784 |
| 0.0 | 484.2124 | 27600 | 0.9057 | 15679720 |
| 0.0 | 487.7257 | 27800 | 0.9155 | 15792680 |
| 0.0 | 491.2301 | 28000 | 0.9253 | 15906624 |
| 0.0 | 494.7434 | 28200 | 0.9103 | 16019936 |
| 0.0 | 498.2478 | 28400 | 0.9245 | 16133784 |
| 0.0 | 501.7611 | 28600 | 0.8963 | 16248200 |
| 0.0 | 505.2655 | 28800 | 0.9024 | 16361560 |
| 0.0 | 508.7788 | 29000 | 0.9256 | 16475624 |
| 0.0 | 512.2832 | 29200 | 0.9239 | 16588984 |
| 0.0 | 515.7965 | 29400 | 0.9102 | 16702496 |
| 0.0 | 519.3009 | 29600 | 0.9128 | 16816272 |
| 0.0 | 522.8142 | 29800 | 0.9139 | 16929072 |
| 0.0 | 526.3186 | 30000 | 0.9153 | 17043120 |
| 0.0 | 529.8319 | 30200 | 0.9343 | 17156344 |
| 0.0 | 533.3363 | 30400 | 0.9051 | 17268656 |
| 0.0 | 536.8496 | 30600 | 0.9375 | 17383696 |
| 0.0 | 540.3540 | 30800 | 0.9452 | 17495648 |
| 0.0 | 543.8673 | 31000 | 0.9113 | 17609616 |
| 0.0 | 547.3717 | 31200 | 0.9103 | 17723600 |
| 0.0 | 550.8850 | 31400 | 0.8986 | 17836576 |
| 0.0 | 554.3894 | 31600 | 0.8948 | 17949928 |
| 0.0 | 557.9027 | 31800 | 0.9036 | 18064576 |
| 0.0 | 561.4071 | 32000 | 0.9059 | 18177096 |
| 0.0 | 564.9204 | 32200 | 0.9259 | 18290608 |
| 0.0 | 568.4248 | 32400 | 0.9182 | 18404648 |
| 0.0 | 571.9381 | 32600 | 0.9214 | 18517216 |
| 0.0 | 575.4425 | 32800 | 0.9142 | 18631296 |
| 0.0 | 578.9558 | 33000 | 0.9106 | 18745416 |
| 0.0 | 582.4602 | 33200 | 0.9187 | 18857896 |
| 0.0 | 585.9735 | 33400 | 0.9218 | 18971344 |
| 0.0 | 589.4779 | 33600 | 0.9236 | 19085248 |
| 0.0 | 592.9912 | 33800 | 0.9061 | 19199136 |
| 0.0 | 596.4956 | 34000 | 0.8945 | 19311344 |
| 0.0 | 600.0 | 34200 | 0.8979 | 19425472 |
| 0.0 | 603.5133 | 34400 | 0.9250 | 19539112 |
| 0.0 | 607.0177 | 34600 | 0.9027 | 19652392 |
| 0.0 | 610.5310 | 34800 | 0.9087 | 19766904 |
| 0.0 | 614.0354 | 35000 | 0.8934 | 19879808 |
| 0.0 | 617.5487 | 35200 | 0.9040 | 19993952 |
| 0.0 | 621.0531 | 35400 | 0.9110 | 20107560 |
| 0.0 | 624.5664 | 35600 | 0.8989 | 20220888 |
| 0.0 | 628.0708 | 35800 | 0.9270 | 20333904 |
| 0.0 | 631.5841 | 36000 | 0.8909 | 20446736 |
| 0.0 | 635.0885 | 36200 | 0.9129 | 20560472 |
| 0.0 | 638.6018 | 36400 | 0.8988 | 20673984 |
| 0.0 | 642.1062 | 36600 | 0.8977 | 20786240 |
| 0.0 | 645.6195 | 36800 | 0.8956 | 20899128 |
| 0.0 | 649.1239 | 37000 | 0.9297 | 21011928 |
| 0.0 | 652.6372 | 37200 | 0.8970 | 21126880 |
| 0.0 | 656.1416 | 37400 | 0.9159 | 21239760 |
| 0.0 | 659.6549 | 37600 | 0.9120 | 21353776 |
| 0.0 | 663.1593 | 37800 | 0.8969 | 21467368 |
| 0.0 | 666.6726 | 38000 | 0.8925 | 21581512 |
| 0.0 | 670.1770 | 38200 | 0.8996 | 21694376 |
| 0.0 | 673.6903 | 38400 | 0.8811 | 21808568 |
| 0.0 | 677.1947 | 38600 | 0.9198 | 21922424 |
| 0.0 | 680.7080 | 38800 | 0.9037 | 22036600 |
| 0.0 | 684.2124 | 39000 | 0.8997 | 22150992 |
| 0.0 | 687.7257 | 39200 | 0.9019 | 22263616 |
| 0.0 | 691.2301 | 39400 | 0.8945 | 22377936 |
| 0.0 | 694.7434 | 39600 | 0.9180 | 22490328 |
| 0.0 | 698.2478 | 39800 | 0.9090 | 22604096 |
| 0.0 | 701.7611 | 40000 | 0.9120 | 22718312 |
### Framework versions
- PEFT 0.15.2.dev0
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1 |