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--- |
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license: gemma |
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base_model: google/gemma-2-27b |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: collapse_gemma-2-27b_hs2_accumulate_iter5_sftsd2 |
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results: [] |
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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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# collapse_gemma-2-27b_hs2_accumulate_iter5_sftsd2 |
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This model is a fine-tuned version of [google/gemma-2-27b](https://huggingface.co/google/gemma-2-27b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9401 |
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- Num Input Tokens Seen: 21285160 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 8e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 16 |
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- seed: 2 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:------:|:----:|:---------------:|:-----------------:| |
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| No log | 0 | 0 | 1.1282 | 0 | |
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| 3.2221 | 0.0117 | 5 | 1.0926 | 251756 | |
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| 2.8365 | 0.0234 | 10 | 1.0155 | 507320 | |
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| 2.7913 | 0.0350 | 15 | 0.9995 | 754196 | |
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| 2.5411 | 0.0467 | 20 | 0.9870 | 998220 | |
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| 2.3748 | 0.0584 | 25 | 0.9889 | 1249252 | |
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| 2.5183 | 0.0701 | 30 | 0.9940 | 1494160 | |
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| 2.2618 | 0.0818 | 35 | 0.9941 | 1742232 | |
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| 2.2768 | 0.0935 | 40 | 0.9943 | 1984428 | |
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| 1.9749 | 0.1051 | 45 | 0.9904 | 2230660 | |
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| 1.8335 | 0.1168 | 50 | 0.9954 | 2480560 | |
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| 2.0343 | 0.1285 | 55 | 0.9924 | 2738660 | |
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| 1.9019 | 0.1402 | 60 | 0.9870 | 2984676 | |
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| 1.7913 | 0.1519 | 65 | 0.9850 | 3232276 | |
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| 1.7679 | 0.1635 | 70 | 0.9835 | 3481768 | |
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| 1.5726 | 0.1752 | 75 | 0.9809 | 3725896 | |
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| 1.3122 | 0.1869 | 80 | 0.9820 | 3976404 | |
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| 1.2818 | 0.1986 | 85 | 0.9803 | 4222020 | |
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| 1.2534 | 0.2103 | 90 | 0.9755 | 4467096 | |
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| 1.3957 | 0.2219 | 95 | 0.9715 | 4712856 | |
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| 1.4468 | 0.2336 | 100 | 0.9735 | 4966776 | |
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| 1.2346 | 0.2453 | 105 | 0.9688 | 5219188 | |
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| 1.375 | 0.2570 | 110 | 0.9661 | 5470400 | |
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| 1.2864 | 0.2687 | 115 | 0.9675 | 5718348 | |
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| 1.2863 | 0.2804 | 120 | 0.9653 | 5962556 | |
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| 1.2904 | 0.2920 | 125 | 0.9654 | 6212032 | |
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| 1.292 | 0.3037 | 130 | 0.9624 | 6457492 | |
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| 1.2084 | 0.3154 | 135 | 0.9630 | 6706428 | |
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| 1.2862 | 0.3271 | 140 | 0.9621 | 6958064 | |
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| 1.2497 | 0.3388 | 145 | 0.9612 | 7208000 | |
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| 1.0042 | 0.3504 | 150 | 0.9585 | 7455840 | |
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| 1.2159 | 0.3621 | 155 | 0.9577 | 7709904 | |
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| 1.2636 | 0.3738 | 160 | 0.9569 | 7958904 | |
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| 1.1413 | 0.3855 | 165 | 0.9598 | 8201696 | |
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| 1.232 | 0.3972 | 170 | 0.9544 | 8459644 | |
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| 1.2286 | 0.4088 | 175 | 0.9553 | 8707480 | |
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| 1.2674 | 0.4205 | 180 | 0.9535 | 8955328 | |
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| 1.203 | 0.4322 | 185 | 0.9543 | 9198592 | |
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| 1.1438 | 0.4439 | 190 | 0.9509 | 9453684 | |
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| 1.3743 | 0.4556 | 195 | 0.9539 | 9703056 | |
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| 1.4924 | 0.4673 | 200 | 0.9497 | 9951200 | |
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| 1.2615 | 0.4789 | 205 | 0.9529 | 10190064 | |
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| 1.1522 | 0.4906 | 210 | 0.9509 | 10442280 | |
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| 1.1088 | 0.5023 | 215 | 0.9542 | 10691252 | |
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| 1.1145 | 0.5140 | 220 | 0.9497 | 10932600 | |
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| 1.1479 | 0.5257 | 225 | 0.9498 | 11177348 | |
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| 1.1476 | 0.5373 | 230 | 0.9497 | 11426060 | |
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| 1.3338 | 0.5490 | 235 | 0.9495 | 11679624 | |
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| 1.1771 | 0.5607 | 240 | 0.9504 | 11928780 | |
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| 0.9654 | 0.5724 | 245 | 0.9466 | 12180408 | |
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| 1.1334 | 0.5841 | 250 | 0.9489 | 12427700 | |
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| 1.1846 | 0.5958 | 255 | 0.9483 | 12685832 | |
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| 1.2411 | 0.6074 | 260 | 0.9477 | 12932524 | |
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| 1.2086 | 0.6191 | 265 | 0.9479 | 13179472 | |
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| 1.1832 | 0.6308 | 270 | 0.9467 | 13433160 | |
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| 1.1775 | 0.6425 | 275 | 0.9466 | 13682108 | |
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| 1.2339 | 0.6542 | 280 | 0.9456 | 13931324 | |
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| 1.2441 | 0.6658 | 285 | 0.9469 | 14185032 | |
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| 1.0774 | 0.6775 | 290 | 0.9439 | 14433164 | |
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| 1.1275 | 0.6892 | 295 | 0.9443 | 14674964 | |
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| 1.0283 | 0.7009 | 300 | 0.9427 | 14922084 | |
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| 1.0613 | 0.7126 | 305 | 0.9453 | 15175408 | |
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| 0.8593 | 0.7242 | 310 | 0.9424 | 15427908 | |
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| 1.1358 | 0.7359 | 315 | 0.9448 | 15675160 | |
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| 1.1232 | 0.7476 | 320 | 0.9434 | 15927548 | |
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| 1.1183 | 0.7593 | 325 | 0.9437 | 16174772 | |
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| 1.1012 | 0.7710 | 330 | 0.9442 | 16433432 | |
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| 1.1579 | 0.7827 | 335 | 0.9423 | 16680244 | |
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| 0.8979 | 0.7943 | 340 | 0.9453 | 16924192 | |
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| 1.1912 | 0.8060 | 345 | 0.9409 | 17168560 | |
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| 1.0824 | 0.8177 | 350 | 0.9446 | 17422176 | |
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| 1.1499 | 0.8294 | 355 | 0.9414 | 17672716 | |
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| 0.8825 | 0.8411 | 360 | 0.9413 | 17908784 | |
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| 1.0893 | 0.8527 | 365 | 0.9433 | 18156560 | |
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| 0.9911 | 0.8644 | 370 | 0.9458 | 18401204 | |
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| 1.0546 | 0.8761 | 375 | 0.9444 | 18658068 | |
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| 1.0192 | 0.8878 | 380 | 0.9412 | 18899828 | |
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| 0.9538 | 0.8995 | 385 | 0.9448 | 19146148 | |
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| 1.2351 | 0.9111 | 390 | 0.9429 | 19398392 | |
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| 1.1466 | 0.9228 | 395 | 0.9434 | 19649472 | |
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| 0.886 | 0.9345 | 400 | 0.9437 | 19896600 | |
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| 0.95 | 0.9462 | 405 | 0.9446 | 20149368 | |
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| 1.0627 | 0.9579 | 410 | 0.9423 | 20397044 | |
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| 1.0381 | 0.9696 | 415 | 0.9434 | 20643720 | |
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| 1.035 | 0.9812 | 420 | 0.9432 | 20895920 | |
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| 0.8919 | 0.9929 | 425 | 0.9423 | 21138916 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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