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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_iter4_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_iter4_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: 0.9397 |
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- Num Input Tokens Seen: 17213660 |
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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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| 2.8683 | 0.0141 | 5 | 1.0844 | 236836 | |
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| 2.4917 | 0.0282 | 10 | 1.0063 | 477060 | |
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| 2.4805 | 0.0423 | 15 | 0.9925 | 726020 | |
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| 2.4109 | 0.0564 | 20 | 0.9841 | 973680 | |
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| 2.296 | 0.0705 | 25 | 0.9858 | 1223540 | |
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| 2.0121 | 0.0846 | 30 | 0.9919 | 1470300 | |
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| 1.7927 | 0.0987 | 35 | 0.9894 | 1718324 | |
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| 1.8281 | 0.1128 | 40 | 0.9977 | 1962952 | |
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| 1.7373 | 0.1268 | 45 | 0.9951 | 2208104 | |
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| 1.5941 | 0.1409 | 50 | 0.9881 | 2455412 | |
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| 1.6058 | 0.1550 | 55 | 0.9857 | 2696832 | |
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| 1.0647 | 0.1691 | 60 | 0.9818 | 2941868 | |
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| 1.1676 | 0.1832 | 65 | 0.9758 | 3188060 | |
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| 1.2806 | 0.1973 | 70 | 0.9758 | 3427696 | |
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| 1.0585 | 0.2114 | 75 | 0.9734 | 3672608 | |
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| 1.0442 | 0.2255 | 80 | 0.9696 | 3910204 | |
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| 1.0145 | 0.2396 | 85 | 0.9699 | 4146872 | |
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| 1.0364 | 0.2537 | 90 | 0.9652 | 4394008 | |
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| 1.0252 | 0.2678 | 95 | 0.9647 | 4635300 | |
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| 0.969 | 0.2819 | 100 | 0.9630 | 4879116 | |
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| 0.7795 | 0.2960 | 105 | 0.9612 | 5118936 | |
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| 0.8606 | 0.3101 | 110 | 0.9571 | 5366792 | |
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| 1.0389 | 0.3242 | 115 | 0.9581 | 5612876 | |
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| 0.8369 | 0.3383 | 120 | 0.9558 | 5861964 | |
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| 0.8261 | 0.3524 | 125 | 0.9563 | 6109352 | |
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| 0.7797 | 0.3665 | 130 | 0.9521 | 6350016 | |
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| 0.91 | 0.3805 | 135 | 0.9539 | 6594400 | |
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| 0.9656 | 0.3946 | 140 | 0.9528 | 6829540 | |
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| 0.8705 | 0.4087 | 145 | 0.9517 | 7073132 | |
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| 0.9275 | 0.4228 | 150 | 0.9501 | 7317792 | |
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| 0.7878 | 0.4369 | 155 | 0.9495 | 7562692 | |
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| 0.79 | 0.4510 | 160 | 0.9493 | 7804712 | |
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| 0.9756 | 0.4651 | 165 | 0.9486 | 8045908 | |
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| 0.831 | 0.4792 | 170 | 0.9501 | 8295248 | |
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| 0.7312 | 0.4933 | 175 | 0.9482 | 8539448 | |
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| 0.8828 | 0.5074 | 180 | 0.9462 | 8782312 | |
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| 0.654 | 0.5215 | 185 | 0.9476 | 9028520 | |
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| 0.9007 | 0.5356 | 190 | 0.9451 | 9272816 | |
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| 0.7856 | 0.5497 | 195 | 0.9463 | 9519724 | |
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| 0.6986 | 0.5638 | 200 | 0.9445 | 9769440 | |
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| 0.8185 | 0.5779 | 205 | 0.9482 | 10012624 | |
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| 0.7951 | 0.5920 | 210 | 0.9453 | 10257436 | |
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| 0.7885 | 0.6061 | 215 | 0.9442 | 10497084 | |
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| 0.8135 | 0.6202 | 220 | 0.9452 | 10726612 | |
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| 0.8553 | 0.6342 | 225 | 0.9432 | 10964756 | |
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| 0.7149 | 0.6483 | 230 | 0.9454 | 11206028 | |
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| 0.796 | 0.6624 | 235 | 0.9439 | 11446772 | |
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| 0.7876 | 0.6765 | 240 | 0.9443 | 11686044 | |
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| 0.7328 | 0.6906 | 245 | 0.9433 | 11936452 | |
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| 0.8117 | 0.7047 | 250 | 0.9431 | 12174492 | |
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| 0.9161 | 0.7188 | 255 | 0.9400 | 12410412 | |
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| 0.6793 | 0.7329 | 260 | 0.9424 | 12649736 | |
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| 0.7372 | 0.7470 | 265 | 0.9430 | 12887028 | |
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| 0.6329 | 0.7611 | 270 | 0.9402 | 13126712 | |
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| 0.8913 | 0.7752 | 275 | 0.9416 | 13368188 | |
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| 0.83 | 0.7893 | 280 | 0.9409 | 13615264 | |
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| 0.6657 | 0.8034 | 285 | 0.9400 | 13855436 | |
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| 0.9027 | 0.8175 | 290 | 0.9404 | 14102064 | |
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| 0.7206 | 0.8316 | 295 | 0.9401 | 14340172 | |
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| 0.7678 | 0.8457 | 300 | 0.9399 | 14573172 | |
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| 0.8187 | 0.8598 | 305 | 0.9401 | 14816224 | |
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| 0.6861 | 0.8739 | 310 | 0.9399 | 15065152 | |
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| 0.8274 | 0.8879 | 315 | 0.9384 | 15306488 | |
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| 0.8374 | 0.9020 | 320 | 0.9391 | 15543972 | |
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| 0.7515 | 0.9161 | 325 | 0.9370 | 15780660 | |
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| 0.8439 | 0.9302 | 330 | 0.9393 | 16027512 | |
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| 0.7666 | 0.9443 | 335 | 0.9410 | 16271828 | |
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| 0.7781 | 0.9584 | 340 | 0.9404 | 16516708 | |
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| 0.77 | 0.9725 | 345 | 0.9435 | 16772604 | |
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| 0.6227 | 0.9866 | 350 | 0.9362 | 17015180 | |
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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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