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---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: gemma-2-2b_hs2_iter1_sftsd1
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. -->
# gemma-2-2b_hs2_iter1_sftsd1
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: 1.5298
- Num Input Tokens Seen: 17258584
## 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: 1
- 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_steps: 16
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| No log | 0 | 0 | 1.3956 | 0 |
| 1.7151 | 0.0160 | 5 | 1.3649 | 280984 |
| 1.5285 | 0.0320 | 10 | 1.2591 | 563568 |
| 1.4731 | 0.0480 | 15 | 1.1922 | 850472 |
| 1.3042 | 0.0640 | 20 | 1.1590 | 1126824 |
| 1.2126 | 0.0800 | 25 | 1.1400 | 1403000 |
| 1.1899 | 0.0960 | 30 | 1.1529 | 1677208 |
| 0.999 | 0.1120 | 35 | 1.1739 | 1947376 |
| 0.9221 | 0.1279 | 40 | 1.2091 | 2227616 |
| 0.9325 | 0.1439 | 45 | 1.2620 | 2499960 |
| 0.7948 | 0.1599 | 50 | 1.2823 | 2768464 |
| 0.7694 | 0.1759 | 55 | 1.3642 | 3043800 |
| 0.7514 | 0.1919 | 60 | 1.3647 | 3322280 |
| 0.65 | 0.2079 | 65 | 1.4181 | 3592344 |
| 0.6182 | 0.2239 | 70 | 1.4624 | 3874992 |
| 0.5163 | 0.2399 | 75 | 1.4747 | 4152464 |
| 0.5077 | 0.2559 | 80 | 1.4591 | 4425448 |
| 0.4374 | 0.2719 | 85 | 1.5298 | 4701152 |
| 0.3394 | 0.2879 | 90 | 1.5052 | 4979368 |
| 0.3141 | 0.3039 | 95 | 1.5624 | 5254560 |
| 0.3624 | 0.3199 | 100 | 1.5197 | 5532040 |
| 0.2848 | 0.3359 | 105 | 1.5283 | 5815048 |
| 0.3023 | 0.3519 | 110 | 1.4896 | 6090168 |
| 0.2951 | 0.3679 | 115 | 1.5557 | 6370688 |
| 0.2294 | 0.3838 | 120 | 1.5023 | 6644392 |
| 0.1664 | 0.3998 | 125 | 1.5413 | 6915576 |
| 0.1481 | 0.4158 | 130 | 1.5159 | 7189320 |
| 0.196 | 0.4318 | 135 | 1.5542 | 7463232 |
| 0.2218 | 0.4478 | 140 | 1.5711 | 7740456 |
| 0.2089 | 0.4638 | 145 | 1.4790 | 8014600 |
| 0.2167 | 0.4798 | 150 | 1.5068 | 8293824 |
| 0.2483 | 0.4958 | 155 | 1.4646 | 8564248 |
| 0.1578 | 0.5118 | 160 | 1.4834 | 8836952 |
| 0.1617 | 0.5278 | 165 | 1.4932 | 9115608 |
| 0.1366 | 0.5438 | 170 | 1.4936 | 9389168 |
| 0.1628 | 0.5598 | 175 | 1.5136 | 9669560 |
| 0.1186 | 0.5758 | 180 | 1.4843 | 9942856 |
| 0.1343 | 0.5918 | 185 | 1.5045 | 10216144 |
| 0.1022 | 0.6078 | 190 | 1.4646 | 10489128 |
| 0.0853 | 0.6238 | 195 | 1.4684 | 10769016 |
| 0.1577 | 0.6397 | 200 | 1.4865 | 11047400 |
| 0.1552 | 0.6557 | 205 | 1.4296 | 11328400 |
| 0.2221 | 0.6717 | 210 | 1.4768 | 11602552 |
| 0.1426 | 0.6877 | 215 | 1.4382 | 11881496 |
| 0.0724 | 0.7037 | 220 | 1.4639 | 12166392 |
| 0.1345 | 0.7197 | 225 | 1.4186 | 12443568 |
| 0.1385 | 0.7357 | 230 | 1.4526 | 12722400 |
| 0.0969 | 0.7517 | 235 | 1.4532 | 13005696 |
| 0.1123 | 0.7677 | 240 | 1.4317 | 13287632 |
| 0.0852 | 0.7837 | 245 | 1.4869 | 13566576 |
| 0.1228 | 0.7997 | 250 | 1.4233 | 13843336 |
| 0.0919 | 0.8157 | 255 | 1.4676 | 14123744 |
| 0.0924 | 0.8317 | 260 | 1.4920 | 14403528 |
| 0.1393 | 0.8477 | 265 | 1.4665 | 14681304 |
| 0.1063 | 0.8637 | 270 | 1.4547 | 14956896 |
| 0.1158 | 0.8796 | 275 | 1.5160 | 15230056 |
| 0.1062 | 0.8956 | 280 | 1.5117 | 15505704 |
| 0.1193 | 0.9116 | 285 | 1.4500 | 15776784 |
| 0.2646 | 0.9276 | 290 | 1.4688 | 16050272 |
| 0.166 | 0.9436 | 295 | 1.4617 | 16318920 |
| 0.1153 | 0.9596 | 300 | 1.4931 | 16598920 |
| 0.1233 | 0.9756 | 305 | 1.4729 | 16875936 |
| 0.0626 | 0.9916 | 310 | 1.4923 | 17148640 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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