---
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