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  2. adapter_model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: peft
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+ license: gemma
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+ base_model: google/gemma-3-1b-it
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+ tags:
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+ - llama-factory
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+ - generated_from_trainer
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+ model-index:
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+ - name: train_rte_1744902655
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # train_rte_1744902655
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+
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+ This model is a fine-tuned version of [google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7423
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+ - Num Input Tokens Seen: 102120968
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.3
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 123
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 16
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - training_steps: 40000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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+ |:-------------:|:--------:|:-----:|:---------------:|:-----------------:|
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+ | 0.1321 | 1.4207 | 200 | 0.1231 | 514544 |
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+ | 0.1197 | 2.8414 | 400 | 0.1195 | 1025888 |
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+ | 0.1301 | 4.2567 | 600 | 0.1233 | 1532968 |
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+ | 0.1116 | 5.6774 | 800 | 0.1228 | 2047232 |
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+ | 0.0992 | 7.0927 | 1000 | 0.1282 | 2553328 |
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+ | 0.1323 | 8.5134 | 1200 | 0.1255 | 3064584 |
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+ | 0.1105 | 9.9340 | 1400 | 0.1251 | 3578720 |
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+ | 0.1121 | 11.3494 | 1600 | 0.1282 | 4086872 |
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+ | 0.1009 | 12.7701 | 1800 | 0.1332 | 4597072 |
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+ | 0.0998 | 14.1854 | 2000 | 0.1293 | 5107408 |
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+ | 0.0902 | 15.6061 | 2200 | 0.1486 | 5618600 |
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+ | 0.1227 | 17.0214 | 2400 | 0.1342 | 6127088 |
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+ | 0.0904 | 18.4421 | 2600 | 0.1461 | 6640448 |
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+ | 0.1155 | 19.8627 | 2800 | 0.1379 | 7149392 |
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+ | 0.0939 | 21.2781 | 3000 | 0.1409 | 7655512 |
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+ | 0.0719 | 22.6988 | 3200 | 0.1356 | 8170864 |
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+ | 0.0586 | 24.1141 | 3400 | 0.1556 | 8679240 |
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+ | 0.0645 | 25.5348 | 3600 | 0.1552 | 9186256 |
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+ | 0.0803 | 26.9554 | 3800 | 0.1747 | 9701496 |
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+ | 0.0397 | 28.3708 | 4000 | 0.1871 | 10208536 |
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+ | 0.0786 | 29.7914 | 4200 | 0.1327 | 10718920 |
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+ | 0.0407 | 31.2068 | 4400 | 0.1885 | 11238024 |
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+ | 0.0572 | 32.6275 | 4600 | 0.1932 | 11745784 |
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+ | 0.0432 | 34.0428 | 4800 | 0.2151 | 12256384 |
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+ | 0.0354 | 35.4635 | 5000 | 0.2129 | 12764464 |
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+ | 0.0424 | 36.8841 | 5200 | 0.2154 | 13274464 |
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+ | 0.0094 | 38.2995 | 5400 | 0.2323 | 13783792 |
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+ | 0.014 | 39.7201 | 5600 | 0.2442 | 14300048 |
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+ | 0.0141 | 41.1355 | 5800 | 0.2620 | 14802928 |
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+ | 0.0271 | 42.5561 | 6000 | 0.1869 | 15310736 |
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+ | 0.0332 | 43.9768 | 6200 | 0.2084 | 15826504 |
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+ | 0.0103 | 45.3922 | 6400 | 0.2522 | 16328920 |
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+ | 0.0066 | 46.8128 | 6600 | 0.2455 | 16846456 |
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+ | 0.0038 | 48.2282 | 6800 | 0.2697 | 17353504 |
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+ | 0.0145 | 49.6488 | 7000 | 0.2433 | 17866072 |
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+ | 0.0235 | 51.0642 | 7200 | 0.2026 | 18373808 |
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+ | 0.0068 | 52.4848 | 7400 | 0.2659 | 18884136 |
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+ | 0.0033 | 53.9055 | 7600 | 0.2798 | 19402904 |
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+ | 0.0022 | 55.3209 | 7800 | 0.2970 | 19913320 |
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+ | 0.0007 | 56.7415 | 8000 | 0.3229 | 20425320 |
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+ | 0.0001 | 58.1569 | 8200 | 0.3296 | 20932224 |
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+ | 0.0001 | 59.5775 | 8400 | 0.3392 | 21443632 |
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+ | 0.0001 | 60.9982 | 8600 | 0.3464 | 21958520 |
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+ | 0.0 | 62.4135 | 8800 | 0.3486 | 22465568 |
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+ | 0.0 | 63.8342 | 9000 | 0.3514 | 22978872 |
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+ | 0.0 | 65.2496 | 9200 | 0.3586 | 23489416 |
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+ | 0.0 | 66.6702 | 9400 | 0.3598 | 23998568 |
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+ | 0.0 | 68.0856 | 9600 | 0.3653 | 24508040 |
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+ | 0.0 | 69.5062 | 9800 | 0.3683 | 25021816 |
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+ | 0.0 | 70.9269 | 10000 | 0.3703 | 25536008 |
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+ | 0.0 | 72.3422 | 10200 | 0.3763 | 26049360 |
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+ | 0.0 | 73.7629 | 10400 | 0.3810 | 26563296 |
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+ | 0.0 | 75.1783 | 10600 | 0.3837 | 27069112 |
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+ | 0.0 | 76.5989 | 10800 | 0.3860 | 27583320 |
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+ | 0.0 | 78.0143 | 11000 | 0.3908 | 28092696 |
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+ | 0.0 | 79.4349 | 11200 | 0.3977 | 28604784 |
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+ | 0.0 | 80.8556 | 11400 | 0.3998 | 29118496 |
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+ | 0.0 | 82.2709 | 11600 | 0.4084 | 29628968 |
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+ | 0.0 | 83.6916 | 11800 | 0.4119 | 30142648 |
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+ | 0.0 | 85.1070 | 12000 | 0.4161 | 30650416 |
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+ | 0.0 | 86.5276 | 12200 | 0.4217 | 31164200 |
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+ | 0.0 | 87.9483 | 12400 | 0.4289 | 31680176 |
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+ | 0.0 | 89.3636 | 12600 | 0.4302 | 32191784 |
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+ | 0.0 | 90.7843 | 12800 | 0.4330 | 32704016 |
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+ | 0.0 | 92.1996 | 13000 | 0.4356 | 33211832 |
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+ | 0.0 | 93.6203 | 13200 | 0.4414 | 33725272 |
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+ | 0.0 | 95.0357 | 13400 | 0.4492 | 34239520 |
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+ | 0.0 | 96.4563 | 13600 | 0.4588 | 34749688 |
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+ | 0.0 | 97.8770 | 13800 | 0.4593 | 35255888 |
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+ | 0.0 | 99.2923 | 14000 | 0.4637 | 35764264 |
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+ | 0.0 | 100.7130 | 14200 | 0.4699 | 36272560 |
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+ | 0.0 | 102.1283 | 14400 | 0.4740 | 36779392 |
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+ | 0.0 | 103.5490 | 14600 | 0.4847 | 37288688 |
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+ | 0.0 | 104.9697 | 14800 | 0.4860 | 37798808 |
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+ | 0.0 | 106.3850 | 15000 | 0.4899 | 38306176 |
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+ | 0.0 | 107.8057 | 15200 | 0.5001 | 38818056 |
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+ | 0.0 | 109.2210 | 15400 | 0.5031 | 39327152 |
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+ | 0.0 | 110.6417 | 15600 | 0.5096 | 39834472 |
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+ | 0.0 | 112.0570 | 15800 | 0.5221 | 40347168 |
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+ | 0.0 | 113.4777 | 16000 | 0.5182 | 40861968 |
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+ | 0.0 | 114.8984 | 16200 | 0.5316 | 41373408 |
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+ | 0.0 | 116.3137 | 16400 | 0.5421 | 41884568 |
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+ | 0.0 | 117.7344 | 16600 | 0.5512 | 42393232 |
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+ | 0.0 | 119.1497 | 16800 | 0.5634 | 42901968 |
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+ | 0.0 | 120.5704 | 17000 | 0.5670 | 43418880 |
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+ | 0.0 | 121.9911 | 17200 | 0.5790 | 43930128 |
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+ | 0.0 | 123.4064 | 17400 | 0.5871 | 44439224 |
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+ | 0.0 | 124.8271 | 17600 | 0.5932 | 44949200 |
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+ | 0.0 | 126.2424 | 17800 | 0.6018 | 45456488 |
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+ | 0.0 | 127.6631 | 18000 | 0.6063 | 45966968 |
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+ | 0.0 | 129.0784 | 18200 | 0.6114 | 46478752 |
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+ | 0.0 | 130.4991 | 18400 | 0.6220 | 46990144 |
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+ | 0.0 | 131.9198 | 18600 | 0.6228 | 47496384 |
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+ | 0.0 | 133.3351 | 18800 | 0.6262 | 48002064 |
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+ | 0.0 | 134.7558 | 19000 | 0.6324 | 48514080 |
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+ | 0.0 | 136.1711 | 19200 | 0.6425 | 49020824 |
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+ | 0.0 | 137.5918 | 19400 | 0.6399 | 49536472 |
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+ | 0.0 | 139.0071 | 19600 | 0.6509 | 50047616 |
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+ | 0.0 | 140.4278 | 19800 | 0.6482 | 50560928 |
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+ | 0.0 | 141.8485 | 20000 | 0.6538 | 51077560 |
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+ | 0.0 | 143.2638 | 20200 | 0.6571 | 51589728 |
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+ | 0.0 | 144.6845 | 20400 | 0.6552 | 52091960 |
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+ | 0.0 | 146.0998 | 20600 | 0.6578 | 52599968 |
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+ | 0.0 | 147.5205 | 20800 | 0.6641 | 53105080 |
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+ | 0.0 | 148.9412 | 21000 | 0.6706 | 53615088 |
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+ | 0.0 | 150.3565 | 21200 | 0.6691 | 54126520 |
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+ | 0.0 | 151.7772 | 21400 | 0.6694 | 54637568 |
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+ | 0.0 | 153.1925 | 21600 | 0.6776 | 55145992 |
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+ | 0.0 | 154.6132 | 21800 | 0.6807 | 55658768 |
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+ | 0.0 | 156.0285 | 22000 | 0.6860 | 56165752 |
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+ | 0.0 | 157.4492 | 22200 | 0.6850 | 56680344 |
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+ | 0.0 | 158.8699 | 22400 | 0.6974 | 57190184 |
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+ | 0.0 | 160.2852 | 22600 | 0.6964 | 57701264 |
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+ | 0.0 | 161.7059 | 22800 | 0.6949 | 58206800 |
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+ | 0.0 | 163.1212 | 23000 | 0.6987 | 58714616 |
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+ | 0.0 | 164.5419 | 23200 | 0.7047 | 59223288 |
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+ | 0.0 | 165.9626 | 23400 | 0.6966 | 59731816 |
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+ | 0.0 | 167.3779 | 23600 | 0.7038 | 60238984 |
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+ | 0.0 | 168.7986 | 23800 | 0.7018 | 60751824 |
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+ | 0.0 | 170.2139 | 24000 | 0.7071 | 61264200 |
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+ | 0.0 | 171.6346 | 24200 | 0.7152 | 61774128 |
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+ | 0.0 | 173.0499 | 24400 | 0.7094 | 62287528 |
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+ | 0.0 | 174.4706 | 24600 | 0.7154 | 62802568 |
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+ | 0.0 | 175.8913 | 24800 | 0.7197 | 63313384 |
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+ | 0.0 | 177.3066 | 25000 | 0.7192 | 63824360 |
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+ | 0.0 | 178.7273 | 25200 | 0.7186 | 64334200 |
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+ | 0.0 | 180.1426 | 25400 | 0.7183 | 64843720 |
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+ | 0.0 | 181.5633 | 25600 | 0.7273 | 65355856 |
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+ | 0.0 | 182.9840 | 25800 | 0.7218 | 65867080 |
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+ | 0.0 | 184.3993 | 26000 | 0.7336 | 66376432 |
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+ | 0.0 | 185.8200 | 26200 | 0.7276 | 66891552 |
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+ | 0.0 | 187.2353 | 26400 | 0.7350 | 67395432 |
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+ | 0.0 | 188.6560 | 26600 | 0.7361 | 67911272 |
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+ | 0.0 | 190.0713 | 26800 | 0.7267 | 68421624 |
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+ | 0.0 | 191.4920 | 27000 | 0.7250 | 68928904 |
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+ | 0.0 | 192.9127 | 27200 | 0.7296 | 69438872 |
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+ | 0.0 | 194.3280 | 27400 | 0.7293 | 69956344 |
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+ | 0.0 | 195.7487 | 27600 | 0.7352 | 70469232 |
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+ | 0.0 | 197.1640 | 27800 | 0.7307 | 70980552 |
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+ | 0.0 | 198.5847 | 28000 | 0.7366 | 71494368 |
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+ | 0.0 | 200.0 | 28200 | 0.7284 | 71999768 |
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+ | 0.0 | 201.4207 | 28400 | 0.7383 | 72508480 |
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+ | 0.0 | 202.8414 | 28600 | 0.7312 | 73019472 |
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+ | 0.0 | 204.2567 | 28800 | 0.7297 | 73527632 |
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+ | 0.0 | 205.6774 | 29000 | 0.7340 | 74041024 |
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+ | 0.0 | 207.0927 | 29200 | 0.7349 | 74544840 |
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+ | 0.0 | 208.5134 | 29400 | 0.7338 | 75056168 |
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+ | 0.0 | 209.9340 | 29600 | 0.7326 | 75568152 |
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+ | 0.0 | 211.3494 | 29800 | 0.7315 | 76079080 |
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+ | 0.0 | 212.7701 | 30000 | 0.7351 | 76588464 |
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+ | 0.0 | 214.1854 | 30200 | 0.7281 | 77091184 |
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+ | 0.0 | 215.6061 | 30400 | 0.7327 | 77604592 |
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+ | 0.0 | 217.0214 | 30600 | 0.7384 | 78117872 |
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+ | 0.0 | 218.4421 | 30800 | 0.7419 | 78636456 |
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+ | 0.0 | 219.8627 | 31000 | 0.7453 | 79145648 |
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+ | 0.0 | 221.2781 | 31200 | 0.7284 | 79656680 |
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+ | 0.0 | 222.6988 | 31400 | 0.7349 | 80170976 |
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+ | 0.0 | 224.1141 | 31600 | 0.7390 | 80680568 |
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+ | 0.0 | 225.5348 | 31800 | 0.7478 | 81190016 |
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+ | 0.0 | 226.9554 | 32000 | 0.7319 | 81700080 |
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+ | 0.0 | 228.3708 | 32200 | 0.7360 | 82211496 |
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+ | 0.0 | 229.7914 | 32400 | 0.7368 | 82723360 |
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+ | 0.0 | 231.2068 | 32600 | 0.7448 | 83233760 |
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+ | 0.0 | 232.6275 | 32800 | 0.7450 | 83744152 |
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+ | 0.0 | 234.0428 | 33000 | 0.7488 | 84252696 |
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+ | 0.0 | 235.4635 | 33200 | 0.7445 | 84766920 |
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+ | 0.0 | 236.8841 | 33400 | 0.7465 | 85270792 |
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+ | 0.0 | 238.2995 | 33600 | 0.7358 | 85785816 |
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+ | 0.0 | 239.7201 | 33800 | 0.7376 | 86297192 |
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+ | 0.0 | 241.1355 | 34000 | 0.7384 | 86800112 |
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+ | 0.0 | 242.5561 | 34200 | 0.7356 | 87308856 |
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+ | 0.0 | 243.9768 | 34400 | 0.7371 | 87823904 |
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+ | 0.0 | 245.3922 | 34600 | 0.7321 | 88328184 |
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+ | 0.0 | 246.8128 | 34800 | 0.7373 | 88842368 |
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+ | 0.0 | 248.2282 | 35000 | 0.7502 | 89352024 |
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+ | 0.0 | 249.6488 | 35200 | 0.7458 | 89859880 |
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+ | 0.0 | 251.0642 | 35400 | 0.7294 | 90371864 |
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+ | 0.0 | 252.4848 | 35600 | 0.7376 | 90889904 |
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+ | 0.0 | 253.9055 | 35800 | 0.7463 | 91398024 |
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+ | 0.0 | 255.3209 | 36000 | 0.7443 | 91909952 |
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+ | 0.0 | 256.7415 | 36200 | 0.7363 | 92415808 |
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+ | 0.0 | 258.1569 | 36400 | 0.7447 | 92924744 |
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+ | 0.0 | 259.5775 | 36600 | 0.7379 | 93438136 |
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+ | 0.0 | 260.9982 | 36800 | 0.7337 | 93945688 |
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+ | 0.0 | 262.4135 | 37000 | 0.7392 | 94456488 |
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+ | 0.0 | 263.8342 | 37200 | 0.7355 | 94967816 |
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+ | 0.0 | 265.2496 | 37400 | 0.7408 | 95480152 |
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+ | 0.0 | 266.6702 | 37600 | 0.7326 | 95992952 |
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+ | 0.0 | 268.0856 | 37800 | 0.7443 | 96503784 |
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+ | 0.0 | 269.5062 | 38000 | 0.7358 | 97017704 |
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+ | 0.0 | 270.9269 | 38200 | 0.7360 | 97525848 |
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+ | 0.0 | 272.3422 | 38400 | 0.7276 | 98034592 |
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+ | 0.0 | 273.7629 | 38600 | 0.7340 | 98546400 |
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+ | 0.0 | 275.1783 | 38800 | 0.7424 | 99055216 |
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+ | 0.0 | 276.5989 | 39000 | 0.7350 | 99570208 |
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+ | 0.0 | 278.0143 | 39200 | 0.7424 | 100077240 |
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+ | 0.0 | 279.4349 | 39400 | 0.7336 | 100585296 |
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+ | 0.0 | 280.8556 | 39600 | 0.7351 | 101096120 |
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+ | 0.0 | 282.2709 | 39800 | 0.7435 | 101609904 |
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+ | 0.0 | 283.6916 | 40000 | 0.7423 | 102120968 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.15.1
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+ - Transformers 4.51.3
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.5.0
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+ - Tokenizers 0.21.1
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