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--- |
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license: gemma |
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base_model: google/gemma-2-2b |
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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-2-2b_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-2-2b_hs2_accumulate_iter4_sftsd0 |
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This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0923 |
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- Num Input Tokens Seen: 20911096 |
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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: 8 |
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- eval_batch_size: 16 |
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- seed: 0 |
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- gradient_accumulation_steps: 16 |
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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 | 1.3909 | 0 | |
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| 1.5435 | 0.0135 | 5 | 1.3745 | 285560 | |
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| 1.4637 | 0.0270 | 10 | 1.2842 | 569672 | |
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| 1.3123 | 0.0405 | 15 | 1.2085 | 847696 | |
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| 1.2615 | 0.0540 | 20 | 1.1682 | 1136376 | |
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| 1.0816 | 0.0675 | 25 | 1.1606 | 1424000 | |
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| 0.965 | 0.0810 | 30 | 1.1604 | 1707696 | |
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| 0.8694 | 0.0945 | 35 | 1.1667 | 1989768 | |
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| 0.7971 | 0.1080 | 40 | 1.1810 | 2275264 | |
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| 0.76 | 0.1215 | 45 | 1.1947 | 2558504 | |
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| 0.6078 | 0.1350 | 50 | 1.1804 | 2840936 | |
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| 0.6925 | 0.1484 | 55 | 1.1709 | 3123416 | |
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| 0.542 | 0.1619 | 60 | 1.1698 | 3400336 | |
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| 0.5919 | 0.1754 | 65 | 1.1590 | 3677280 | |
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| 0.5911 | 0.1889 | 70 | 1.1663 | 3960968 | |
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| 0.5761 | 0.2024 | 75 | 1.1571 | 4236960 | |
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| 0.5491 | 0.2159 | 80 | 1.1588 | 4521336 | |
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| 0.4891 | 0.2294 | 85 | 1.1530 | 4802232 | |
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| 0.4634 | 0.2429 | 90 | 1.1474 | 5083368 | |
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| 0.4253 | 0.2564 | 95 | 1.1480 | 5368512 | |
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| 0.5415 | 0.2699 | 100 | 1.1389 | 5652976 | |
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| 0.4538 | 0.2834 | 105 | 1.1422 | 5935704 | |
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| 0.4739 | 0.2969 | 110 | 1.1375 | 6220840 | |
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| 0.5449 | 0.3104 | 115 | 1.1372 | 6501656 | |
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| 0.5307 | 0.3239 | 120 | 1.1331 | 6790056 | |
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| 0.4381 | 0.3374 | 125 | 1.1316 | 7075592 | |
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| 0.5068 | 0.3509 | 130 | 1.1243 | 7356824 | |
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| 0.373 | 0.3644 | 135 | 1.1298 | 7641384 | |
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| 0.4322 | 0.3779 | 140 | 1.1246 | 7923528 | |
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| 0.3658 | 0.3914 | 145 | 1.1268 | 8200376 | |
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| 0.4601 | 0.4049 | 150 | 1.1220 | 8486080 | |
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| 0.415 | 0.4184 | 155 | 1.1249 | 8769112 | |
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| 0.4452 | 0.4318 | 160 | 1.1194 | 9051632 | |
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| 0.5344 | 0.4453 | 165 | 1.1201 | 9330416 | |
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| 0.2906 | 0.4588 | 170 | 1.1192 | 9612936 | |
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| 0.4358 | 0.4723 | 175 | 1.1149 | 9893880 | |
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| 0.354 | 0.4858 | 180 | 1.1164 | 10178232 | |
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| 0.3467 | 0.4993 | 185 | 1.1129 | 10465696 | |
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| 0.4397 | 0.5128 | 190 | 1.1143 | 10744624 | |
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| 0.4027 | 0.5263 | 195 | 1.1127 | 11024912 | |
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| 0.5438 | 0.5398 | 200 | 1.1101 | 11311552 | |
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| 0.3847 | 0.5533 | 205 | 1.1106 | 11595104 | |
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| 0.4611 | 0.5668 | 210 | 1.1080 | 11877432 | |
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| 0.5404 | 0.5803 | 215 | 1.1099 | 12161768 | |
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| 0.4367 | 0.5938 | 220 | 1.1110 | 12444336 | |
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| 0.3969 | 0.6073 | 225 | 1.1060 | 12723640 | |
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| 0.4421 | 0.6208 | 230 | 1.1064 | 13012280 | |
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| 0.3727 | 0.6343 | 235 | 1.1065 | 13299312 | |
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| 0.3602 | 0.6478 | 240 | 1.1060 | 13583528 | |
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| 0.4531 | 0.6613 | 245 | 1.1068 | 13867168 | |
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| 0.399 | 0.6748 | 250 | 1.1033 | 14146944 | |
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| 0.4072 | 0.6883 | 255 | 1.1027 | 14427864 | |
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| 0.4039 | 0.7018 | 260 | 1.1032 | 14717592 | |
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| 0.5127 | 0.7152 | 265 | 1.1015 | 14999968 | |
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| 0.2753 | 0.7287 | 270 | 1.1017 | 15281672 | |
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| 0.4518 | 0.7422 | 275 | 1.1021 | 15556800 | |
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| 0.5064 | 0.7557 | 280 | 1.1010 | 15835432 | |
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| 0.3544 | 0.7692 | 285 | 1.1000 | 16114160 | |
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| 0.3527 | 0.7827 | 290 | 1.0987 | 16394640 | |
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| 0.3349 | 0.7962 | 295 | 1.0996 | 16673872 | |
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| 0.3976 | 0.8097 | 300 | 1.0978 | 16956880 | |
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| 0.4281 | 0.8232 | 305 | 1.0964 | 17241504 | |
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| 0.3262 | 0.8367 | 310 | 1.0974 | 17525672 | |
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| 0.3472 | 0.8502 | 315 | 1.0957 | 17810632 | |
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| 0.3196 | 0.8637 | 320 | 1.0963 | 18094576 | |
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| 0.4214 | 0.8772 | 325 | 1.0945 | 18375800 | |
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| 0.3303 | 0.8907 | 330 | 1.0943 | 18657920 | |
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| 0.4292 | 0.9042 | 335 | 1.0994 | 18933720 | |
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| 0.2995 | 0.9177 | 340 | 1.0943 | 19215688 | |
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| 0.3703 | 0.9312 | 345 | 1.0937 | 19498024 | |
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| 0.3855 | 0.9447 | 350 | 1.0940 | 19774016 | |
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| 0.4176 | 0.9582 | 355 | 1.0926 | 20060200 | |
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| 0.3698 | 0.9717 | 360 | 1.0914 | 20343704 | |
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| 0.3759 | 0.9852 | 365 | 1.0908 | 20627104 | |
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| 0.3329 | 0.9987 | 370 | 1.0923 | 20911096 | |
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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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