--- license: gemma base_model: google/gemma-2-27b tags: - trl - sft - generated_from_trainer model-index: - name: collapse_gemma-2-27b_hs2_accumulate_iter6_sftsd0 results: [] --- # collapse_gemma-2-27b_hs2_accumulate_iter6_sftsd0 This model is a fine-tuned version of [google/gemma-2-27b](https://huggingface.co/google/gemma-2-27b) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.9437 - Num Input Tokens Seen: 24429136 ## 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: 8e-06 - train_batch_size: 4 - eval_batch_size: 16 - seed: 0 - gradient_accumulation_steps: 32 - total_train_batch_size: 128 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: constant_with_warmup - lr_scheduler_warmup_ratio: 0.05 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |:-------------:|:------:|:----:|:---------------:|:-----------------:| | No log | 0 | 0 | 1.1282 | 0 | | 3.2167 | 0.0105 | 5 | 1.0957 | 260288 | | 2.852 | 0.0211 | 10 | 1.0143 | 515120 | | 3.1183 | 0.0316 | 15 | 1.0029 | 771156 | | 3.0936 | 0.0421 | 20 | 0.9878 | 1024572 | | 2.7326 | 0.0527 | 25 | 0.9873 | 1286740 | | 2.8651 | 0.0632 | 30 | 0.9935 | 1544608 | | 2.4543 | 0.0738 | 35 | 0.9912 | 1797588 | | 2.3316 | 0.0843 | 40 | 0.9939 | 2059220 | | 2.2969 | 0.0948 | 45 | 0.9962 | 2316228 | | 2.209 | 0.1054 | 50 | 0.9957 | 2573616 | | 2.2011 | 0.1159 | 55 | 0.9901 | 2828304 | | 2.249 | 0.1264 | 60 | 0.9885 | 3089580 | | 1.9603 | 0.1370 | 65 | 0.9874 | 3344980 | | 1.8445 | 0.1475 | 70 | 0.9853 | 3594824 | | 2.0684 | 0.1580 | 75 | 0.9810 | 3851312 | | 2.126 | 0.1686 | 80 | 0.9800 | 4107272 | | 1.985 | 0.1791 | 85 | 0.9843 | 4370976 | | 1.8983 | 0.1896 | 90 | 0.9811 | 4618784 | | 1.9013 | 0.2002 | 95 | 0.9777 | 4879132 | | 1.698 | 0.2107 | 100 | 0.9769 | 5133180 | | 1.8366 | 0.2213 | 105 | 0.9777 | 5386652 | | 1.6669 | 0.2318 | 110 | 0.9781 | 5651192 | | 1.6158 | 0.2423 | 115 | 0.9741 | 5916924 | | 1.7143 | 0.2529 | 120 | 0.9717 | 6175092 | | 1.8355 | 0.2634 | 125 | 0.9722 | 6425136 | | 1.5842 | 0.2739 | 130 | 0.9702 | 6678384 | | 1.6173 | 0.2845 | 135 | 0.9698 | 6939592 | | 1.6637 | 0.2950 | 140 | 0.9697 | 7196320 | | 1.7279 | 0.3055 | 145 | 0.9669 | 7458004 | | 1.7614 | 0.3161 | 150 | 0.9673 | 7716756 | | 1.5623 | 0.3266 | 155 | 0.9649 | 7977856 | | 1.4405 | 0.3372 | 160 | 0.9619 | 8235564 | | 1.6714 | 0.3477 | 165 | 0.9663 | 8484732 | | 1.7076 | 0.3582 | 170 | 0.9628 | 8745024 | | 1.6164 | 0.3688 | 175 | 0.9610 | 8997416 | | 1.7585 | 0.3793 | 180 | 0.9595 | 9257192 | | 1.4447 | 0.3898 | 185 | 0.9606 | 9512832 | | 1.5863 | 0.4004 | 190 | 0.9586 | 9768872 | | 1.5235 | 0.4109 | 195 | 0.9593 | 10028040 | | 1.5822 | 0.4214 | 200 | 0.9581 | 10285048 | | 1.5285 | 0.4320 | 205 | 0.9548 | 10542956 | | 1.5484 | 0.4425 | 210 | 0.9568 | 10812508 | | 1.4607 | 0.4530 | 215 | 0.9546 | 11069192 | | 1.4989 | 0.4636 | 220 | 0.9549 | 11316832 | | 1.5499 | 0.4741 | 225 | 0.9533 | 11581384 | | 1.3848 | 0.4847 | 230 | 0.9544 | 11838708 | | 1.3471 | 0.4952 | 235 | 0.9543 | 12091016 | | 1.2328 | 0.5057 | 240 | 0.9527 | 12347520 | | 1.3087 | 0.5163 | 245 | 0.9532 | 12604588 | | 1.3999 | 0.5268 | 250 | 0.9542 | 12855508 | | 1.5176 | 0.5373 | 255 | 0.9548 | 13115696 | | 1.3977 | 0.5479 | 260 | 0.9521 | 13369976 | | 1.14 | 0.5584 | 265 | 0.9528 | 13629368 | | 1.4824 | 0.5689 | 270 | 0.9539 | 13889796 | | 1.2656 | 0.5795 | 275 | 0.9525 | 14149180 | | 1.6385 | 0.5900 | 280 | 0.9504 | 14410972 | | 1.6261 | 0.6006 | 285 | 0.9521 | 14667904 | | 1.3793 | 0.6111 | 290 | 0.9497 | 14930112 | | 1.4541 | 0.6216 | 295 | 0.9507 | 15189508 | | 1.3924 | 0.6322 | 300 | 0.9490 | 15444108 | | 1.5557 | 0.6427 | 305 | 0.9510 | 15706864 | | 1.0083 | 0.6532 | 310 | 0.9509 | 15961260 | | 1.3866 | 0.6638 | 315 | 0.9494 | 16222564 | | 1.1968 | 0.6743 | 320 | 0.9510 | 16479072 | | 1.4406 | 0.6848 | 325 | 0.9499 | 16744040 | | 1.5105 | 0.6954 | 330 | 0.9499 | 17008220 | | 1.6523 | 0.7059 | 335 | 0.9473 | 17259972 | | 1.5404 | 0.7164 | 340 | 0.9504 | 17518816 | | 1.3327 | 0.7270 | 345 | 0.9472 | 17775008 | | 1.513 | 0.7375 | 350 | 0.9492 | 18032752 | | 1.2379 | 0.7481 | 355 | 0.9465 | 18285632 | | 1.3717 | 0.7586 | 360 | 0.9490 | 18539636 | | 1.3086 | 0.7691 | 365 | 0.9472 | 18799412 | | 1.3041 | 0.7797 | 370 | 0.9514 | 19059540 | | 1.3024 | 0.7902 | 375 | 0.9434 | 19316932 | | 1.5247 | 0.8007 | 380 | 0.9489 | 19569092 | | 1.2434 | 0.8113 | 385 | 0.9464 | 19826932 | | 1.2871 | 0.8218 | 390 | 0.9474 | 20085368 | | 1.2104 | 0.8323 | 395 | 0.9458 | 20341548 | | 1.4294 | 0.8429 | 400 | 0.9471 | 20601432 | | 1.7209 | 0.8534 | 405 | 0.9453 | 20862684 | | 1.4075 | 0.8640 | 410 | 0.9487 | 21111520 | | 1.2768 | 0.8745 | 415 | 0.9468 | 21367704 | | 1.3763 | 0.8850 | 420 | 0.9483 | 21630016 | | 1.7273 | 0.8956 | 425 | 0.9465 | 21885988 | | 1.1818 | 0.9061 | 430 | 0.9453 | 22144724 | | 1.3393 | 0.9166 | 435 | 0.9423 | 22401468 | | 1.2411 | 0.9272 | 440 | 0.9450 | 22657412 | | 1.6222 | 0.9377 | 445 | 0.9431 | 22912156 | | 1.3318 | 0.9482 | 450 | 0.9449 | 23172860 | | 1.4488 | 0.9588 | 455 | 0.9428 | 23440376 | | 1.2637 | 0.9693 | 460 | 0.9425 | 23699824 | | 1.1678 | 0.9798 | 465 | 0.9441 | 23960164 | | 1.6635 | 0.9904 | 470 | 0.9436 | 24220104 | ### Framework versions - Transformers 4.44.0 - Pytorch 2.4.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1