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---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulate_iter3_sftsd2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# collapse_gemma-2-2b_hs2_accumulate_iter3_sftsd2
This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0904
- Num Input Tokens Seen: 15599864
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 8e-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| No log | 0 | 0 | 1.3909 | 0 |
| 1.6915 | 0.0179 | 5 | 1.3538 | 280664 |
| 1.5025 | 0.0358 | 10 | 1.2398 | 557488 |
| 1.3663 | 0.0536 | 15 | 1.1737 | 840856 |
| 1.1851 | 0.0715 | 20 | 1.1503 | 1124920 |
| 1.0716 | 0.0894 | 25 | 1.1379 | 1402408 |
| 0.9914 | 0.1073 | 30 | 1.1383 | 1675520 |
| 0.9719 | 0.1252 | 35 | 1.1480 | 1951472 |
| 0.9529 | 0.1430 | 40 | 1.1500 | 2225736 |
| 0.8376 | 0.1609 | 45 | 1.1498 | 2510856 |
| 0.8176 | 0.1788 | 50 | 1.1574 | 2787800 |
| 0.7634 | 0.1967 | 55 | 1.1589 | 3060664 |
| 0.8431 | 0.2146 | 60 | 1.1481 | 3341424 |
| 0.6527 | 0.2325 | 65 | 1.1534 | 3619016 |
| 0.628 | 0.2503 | 70 | 1.1462 | 3897968 |
| 0.6262 | 0.2682 | 75 | 1.1411 | 4178920 |
| 0.7141 | 0.2861 | 80 | 1.1413 | 4459624 |
| 0.5843 | 0.3040 | 85 | 1.1416 | 4744144 |
| 0.6152 | 0.3219 | 90 | 1.1354 | 5023280 |
| 0.5608 | 0.3397 | 95 | 1.1409 | 5305880 |
| 0.6328 | 0.3576 | 100 | 1.1331 | 5583648 |
| 0.5968 | 0.3755 | 105 | 1.1343 | 5858848 |
| 0.4929 | 0.3934 | 110 | 1.1303 | 6140520 |
| 0.5384 | 0.4113 | 115 | 1.1285 | 6418144 |
| 0.6241 | 0.4291 | 120 | 1.1240 | 6699248 |
| 0.511 | 0.4470 | 125 | 1.1238 | 6981672 |
| 0.5549 | 0.4649 | 130 | 1.1240 | 7259432 |
| 0.5711 | 0.4828 | 135 | 1.1193 | 7540672 |
| 0.5146 | 0.5007 | 140 | 1.1201 | 7817576 |
| 0.4929 | 0.5186 | 145 | 1.1161 | 8095624 |
| 0.6243 | 0.5364 | 150 | 1.1159 | 8372336 |
| 0.505 | 0.5543 | 155 | 1.1139 | 8654856 |
| 0.5097 | 0.5722 | 160 | 1.1130 | 8927360 |
| 0.4289 | 0.5901 | 165 | 1.1105 | 9206880 |
| 0.5167 | 0.6080 | 170 | 1.1087 | 9485672 |
| 0.5748 | 0.6258 | 175 | 1.1068 | 9767928 |
| 0.5217 | 0.6437 | 180 | 1.1057 | 10050896 |
| 0.5644 | 0.6616 | 185 | 1.1029 | 10330480 |
| 0.4453 | 0.6795 | 190 | 1.1050 | 10608400 |
| 0.4872 | 0.6974 | 195 | 1.1007 | 10887048 |
| 0.5595 | 0.7152 | 200 | 1.1024 | 11167464 |
| 0.556 | 0.7331 | 205 | 1.0992 | 11446280 |
| 0.5089 | 0.7510 | 210 | 1.1001 | 11731144 |
| 0.5189 | 0.7689 | 215 | 1.0985 | 12011960 |
| 0.4552 | 0.7868 | 220 | 1.0964 | 12292104 |
| 0.4871 | 0.8046 | 225 | 1.0996 | 12570976 |
| 0.5506 | 0.8225 | 230 | 1.0935 | 12857496 |
| 0.5102 | 0.8404 | 235 | 1.0960 | 13141736 |
| 0.4703 | 0.8583 | 240 | 1.0955 | 13420224 |
| 0.4595 | 0.8762 | 245 | 1.0916 | 13698216 |
| 0.5256 | 0.8941 | 250 | 1.0931 | 13982192 |
| 0.464 | 0.9119 | 255 | 1.0934 | 14260960 |
| 0.4848 | 0.9298 | 260 | 1.0908 | 14538976 |
| 0.5636 | 0.9477 | 265 | 1.0911 | 14815712 |
| 0.5172 | 0.9656 | 270 | 1.0909 | 15101872 |
| 0.4533 | 0.9835 | 275 | 1.0907 | 15373280 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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