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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_sftsd0 |
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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_sftsd0 |
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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: 0.9428 |
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- Num Input Tokens Seen: 17441212 |
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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: 0 |
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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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| 2.7026 | 0.0142 | 5 | 1.0845 | 250572 | |
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| 2.7951 | 0.0285 | 10 | 1.0059 | 495468 | |
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| 2.4024 | 0.0427 | 15 | 0.9903 | 740552 | |
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| 2.3813 | 0.0570 | 20 | 0.9834 | 983128 | |
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| 2.0909 | 0.0712 | 25 | 0.9822 | 1231348 | |
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| 2.0832 | 0.0855 | 30 | 0.9854 | 1485220 | |
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| 2.2061 | 0.0997 | 35 | 0.9889 | 1739976 | |
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| 1.8943 | 0.1140 | 40 | 0.9868 | 1994708 | |
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| 1.8237 | 0.1282 | 45 | 0.9788 | 2248268 | |
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| 1.6061 | 0.1425 | 50 | 0.9833 | 2491904 | |
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| 1.645 | 0.1567 | 55 | 0.9800 | 2745000 | |
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| 1.5498 | 0.1710 | 60 | 0.9792 | 2988148 | |
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| 1.2707 | 0.1852 | 65 | 0.9792 | 3237400 | |
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| 1.2508 | 0.1995 | 70 | 0.9746 | 3494232 | |
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| 1.2433 | 0.2137 | 75 | 0.9708 | 3747944 | |
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| 1.1545 | 0.2280 | 80 | 0.9691 | 3990240 | |
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| 1.3564 | 0.2422 | 85 | 0.9691 | 4234336 | |
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| 1.1692 | 0.2565 | 90 | 0.9681 | 4481372 | |
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| 1.1797 | 0.2707 | 95 | 0.9646 | 4733204 | |
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| 1.1292 | 0.2850 | 100 | 0.9630 | 4979876 | |
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| 1.034 | 0.2992 | 105 | 0.9641 | 5219284 | |
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| 1.0656 | 0.3135 | 110 | 0.9605 | 5467328 | |
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| 1.0678 | 0.3277 | 115 | 0.9588 | 5723652 | |
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| 1.0246 | 0.3420 | 120 | 0.9581 | 5975880 | |
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| 1.1025 | 0.3562 | 125 | 0.9580 | 6219980 | |
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| 1.0895 | 0.3705 | 130 | 0.9559 | 6475528 | |
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| 0.9828 | 0.3847 | 135 | 0.9546 | 6724216 | |
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| 0.9003 | 0.3990 | 140 | 0.9516 | 6971248 | |
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| 0.9099 | 0.4132 | 145 | 0.9538 | 7219644 | |
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| 0.9169 | 0.4275 | 150 | 0.9503 | 7471332 | |
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| 0.9124 | 0.4417 | 155 | 0.9517 | 7725516 | |
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| 0.9038 | 0.4560 | 160 | 0.9509 | 7974732 | |
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| 0.9577 | 0.4702 | 165 | 0.9490 | 8222880 | |
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| 1.0668 | 0.4845 | 170 | 0.9486 | 8463156 | |
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| 1.0556 | 0.4987 | 175 | 0.9484 | 8711816 | |
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| 0.958 | 0.5130 | 180 | 0.9446 | 8964120 | |
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| 0.7769 | 0.5272 | 185 | 0.9472 | 9212680 | |
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| 0.7975 | 0.5415 | 190 | 0.9450 | 9459576 | |
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| 0.8965 | 0.5557 | 195 | 0.9442 | 9711232 | |
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| 0.9835 | 0.5700 | 200 | 0.9461 | 9962788 | |
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| 0.9513 | 0.5842 | 205 | 0.9421 | 10215452 | |
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| 0.9281 | 0.5985 | 210 | 0.9448 | 10468768 | |
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| 0.819 | 0.6127 | 215 | 0.9426 | 10711836 | |
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| 0.8368 | 0.6269 | 220 | 0.9454 | 10963464 | |
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| 0.8332 | 0.6412 | 225 | 0.9419 | 11211872 | |
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| 1.1059 | 0.6554 | 230 | 0.9416 | 11468040 | |
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| 0.7919 | 0.6697 | 235 | 0.9409 | 11711864 | |
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| 0.7565 | 0.6839 | 240 | 0.9414 | 11960556 | |
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| 0.6964 | 0.6982 | 245 | 0.9424 | 12207416 | |
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| 0.92 | 0.7124 | 250 | 0.9419 | 12449244 | |
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| 0.7462 | 0.7267 | 255 | 0.9402 | 12696604 | |
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| 1.0246 | 0.7409 | 260 | 0.9435 | 12946160 | |
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| 0.7697 | 0.7552 | 265 | 0.9396 | 13199664 | |
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| 0.6771 | 0.7694 | 270 | 0.9407 | 13444784 | |
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| 0.7791 | 0.7837 | 275 | 0.9394 | 13700124 | |
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| 0.9775 | 0.7979 | 280 | 0.9422 | 13953992 | |
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| 0.9798 | 0.8122 | 285 | 0.9381 | 14204856 | |
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| 0.8106 | 0.8264 | 290 | 0.9395 | 14451212 | |
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| 0.8597 | 0.8407 | 295 | 0.9400 | 14702444 | |
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| 0.9122 | 0.8549 | 300 | 0.9450 | 14954496 | |
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| 0.8738 | 0.8692 | 305 | 0.9410 | 15199504 | |
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| 0.8448 | 0.8834 | 310 | 0.9375 | 15449288 | |
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| 0.7054 | 0.8977 | 315 | 0.9385 | 15692504 | |
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| 0.9606 | 0.9119 | 320 | 0.9380 | 15942552 | |
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| 1.0059 | 0.9262 | 325 | 0.9357 | 16189660 | |
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| 0.703 | 0.9404 | 330 | 0.9405 | 16441124 | |
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| 0.9094 | 0.9547 | 335 | 0.9358 | 16688128 | |
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| 0.8983 | 0.9689 | 340 | 0.9388 | 16938972 | |
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| 0.86 | 0.9832 | 345 | 0.9368 | 17187008 | |
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| 0.8023 | 0.9974 | 350 | 0.9428 | 17441212 | |
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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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