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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_iter3_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-2-2b_hs2_accumulate_iter3_sftsd2 |
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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: 1.0904 |
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- Num Input Tokens Seen: 15599864 |
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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: 2 |
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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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| 1.6915 | 0.0179 | 5 | 1.3538 | 280664 | |
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| 1.5025 | 0.0358 | 10 | 1.2398 | 557488 | |
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| 1.3663 | 0.0536 | 15 | 1.1737 | 840856 | |
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| 1.1851 | 0.0715 | 20 | 1.1503 | 1124920 | |
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| 1.0716 | 0.0894 | 25 | 1.1379 | 1402408 | |
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| 0.9914 | 0.1073 | 30 | 1.1383 | 1675520 | |
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| 0.9719 | 0.1252 | 35 | 1.1480 | 1951472 | |
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| 0.9529 | 0.1430 | 40 | 1.1500 | 2225736 | |
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| 0.8376 | 0.1609 | 45 | 1.1498 | 2510856 | |
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| 0.8176 | 0.1788 | 50 | 1.1574 | 2787800 | |
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| 0.7634 | 0.1967 | 55 | 1.1589 | 3060664 | |
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| 0.8431 | 0.2146 | 60 | 1.1481 | 3341424 | |
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| 0.6527 | 0.2325 | 65 | 1.1534 | 3619016 | |
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| 0.628 | 0.2503 | 70 | 1.1462 | 3897968 | |
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| 0.6262 | 0.2682 | 75 | 1.1411 | 4178920 | |
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| 0.7141 | 0.2861 | 80 | 1.1413 | 4459624 | |
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| 0.5843 | 0.3040 | 85 | 1.1416 | 4744144 | |
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| 0.6152 | 0.3219 | 90 | 1.1354 | 5023280 | |
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| 0.5608 | 0.3397 | 95 | 1.1409 | 5305880 | |
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| 0.6328 | 0.3576 | 100 | 1.1331 | 5583648 | |
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| 0.5968 | 0.3755 | 105 | 1.1343 | 5858848 | |
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| 0.4929 | 0.3934 | 110 | 1.1303 | 6140520 | |
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| 0.5384 | 0.4113 | 115 | 1.1285 | 6418144 | |
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| 0.6241 | 0.4291 | 120 | 1.1240 | 6699248 | |
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| 0.511 | 0.4470 | 125 | 1.1238 | 6981672 | |
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| 0.5549 | 0.4649 | 130 | 1.1240 | 7259432 | |
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| 0.5711 | 0.4828 | 135 | 1.1193 | 7540672 | |
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| 0.5146 | 0.5007 | 140 | 1.1201 | 7817576 | |
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| 0.4929 | 0.5186 | 145 | 1.1161 | 8095624 | |
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| 0.6243 | 0.5364 | 150 | 1.1159 | 8372336 | |
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| 0.505 | 0.5543 | 155 | 1.1139 | 8654856 | |
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| 0.5097 | 0.5722 | 160 | 1.1130 | 8927360 | |
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| 0.4289 | 0.5901 | 165 | 1.1105 | 9206880 | |
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| 0.5167 | 0.6080 | 170 | 1.1087 | 9485672 | |
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| 0.5748 | 0.6258 | 175 | 1.1068 | 9767928 | |
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| 0.5217 | 0.6437 | 180 | 1.1057 | 10050896 | |
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| 0.5644 | 0.6616 | 185 | 1.1029 | 10330480 | |
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| 0.4453 | 0.6795 | 190 | 1.1050 | 10608400 | |
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| 0.4872 | 0.6974 | 195 | 1.1007 | 10887048 | |
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| 0.5595 | 0.7152 | 200 | 1.1024 | 11167464 | |
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| 0.556 | 0.7331 | 205 | 1.0992 | 11446280 | |
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| 0.5089 | 0.7510 | 210 | 1.1001 | 11731144 | |
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| 0.5189 | 0.7689 | 215 | 1.0985 | 12011960 | |
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| 0.4552 | 0.7868 | 220 | 1.0964 | 12292104 | |
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| 0.4871 | 0.8046 | 225 | 1.0996 | 12570976 | |
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| 0.5506 | 0.8225 | 230 | 1.0935 | 12857496 | |
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| 0.5102 | 0.8404 | 235 | 1.0960 | 13141736 | |
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| 0.4703 | 0.8583 | 240 | 1.0955 | 13420224 | |
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| 0.4595 | 0.8762 | 245 | 1.0916 | 13698216 | |
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| 0.5256 | 0.8941 | 250 | 1.0931 | 13982192 | |
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| 0.464 | 0.9119 | 255 | 1.0934 | 14260960 | |
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| 0.4848 | 0.9298 | 260 | 1.0908 | 14538976 | |
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| 0.5636 | 0.9477 | 265 | 1.0911 | 14815712 | |
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| 0.5172 | 0.9656 | 270 | 1.0909 | 15101872 | |
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| 0.4533 | 0.9835 | 275 | 1.0907 | 15373280 | |
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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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