---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: gemma-2-2b_hs2_iter1_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. -->

# gemma-2-2b_hs2_iter1_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: 1.1002
- Num Input Tokens Seen: 14387280

## 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    | 1.3956          | 0                 |
| 1.577         | 0.0197 | 5    | 1.3562          | 276808            |
| 1.4016        | 0.0393 | 10   | 1.2393          | 559240            |
| 1.3349        | 0.0590 | 15   | 1.1712          | 839888            |
| 1.1987        | 0.0787 | 20   | 1.1441          | 1127136           |
| 1.1874        | 0.0984 | 25   | 1.1206          | 1413720           |
| 1.1064        | 0.1180 | 30   | 1.1225          | 1699736           |
| 1.0992        | 0.1377 | 35   | 1.1192          | 1984048           |
| 1.088         | 0.1574 | 40   | 1.1313          | 2268240           |
| 1.0345        | 0.1770 | 45   | 1.1271          | 2551264           |
| 0.9586        | 0.1967 | 50   | 1.1418          | 2825616           |
| 0.8898        | 0.2164 | 55   | 1.1422          | 3103504           |
| 0.8212        | 0.2360 | 60   | 1.1598          | 3386816           |
| 0.895         | 0.2557 | 65   | 1.1488          | 3670168           |
| 0.8268        | 0.2754 | 70   | 1.1537          | 3955840           |
| 0.7428        | 0.2951 | 75   | 1.1512          | 4235752           |
| 0.9565        | 0.3147 | 80   | 1.1497          | 4519608           |
| 0.7561        | 0.3344 | 85   | 1.1456          | 4805928           |
| 0.7523        | 0.3541 | 90   | 1.1405          | 5094240           |
| 0.6549        | 0.3737 | 95   | 1.1477          | 5379072           |
| 0.6742        | 0.3934 | 100  | 1.1458          | 5664776           |
| 0.6537        | 0.4131 | 105  | 1.1440          | 5946192           |
| 0.6865        | 0.4328 | 110  | 1.1431          | 6228232           |
| 0.7215        | 0.4524 | 115  | 1.1393          | 6512048           |
| 0.634         | 0.4721 | 120  | 1.1381          | 6797648           |
| 0.6158        | 0.4918 | 125  | 1.1367          | 7080376           |
| 0.7484        | 0.5114 | 130  | 1.1402          | 7360240           |
| 0.5453        | 0.5311 | 135  | 1.1329          | 7642072           |
| 0.688         | 0.5508 | 140  | 1.1310          | 7924024           |
| 0.7336        | 0.5704 | 145  | 1.1333          | 8210024           |
| 0.6394        | 0.5901 | 150  | 1.1276          | 8496496           |
| 0.7081        | 0.6098 | 155  | 1.1240          | 8781736           |
| 0.6234        | 0.6295 | 160  | 1.1242          | 9061576           |
| 0.5486        | 0.6491 | 165  | 1.1228          | 9347960           |
| 0.5489        | 0.6688 | 170  | 1.1227          | 9631776           |
| 0.4972        | 0.6885 | 175  | 1.1197          | 9914096           |
| 0.5114        | 0.7081 | 180  | 1.1195          | 10197376          |
| 0.531         | 0.7278 | 185  | 1.1164          | 10475760          |
| 0.4653        | 0.7475 | 190  | 1.1152          | 10758120          |
| 0.5525        | 0.7672 | 195  | 1.1123          | 11038032          |
| 0.5382        | 0.7868 | 200  | 1.1127          | 11320808          |
| 0.5825        | 0.8065 | 205  | 1.1093          | 11603064          |
| 0.5529        | 0.8262 | 210  | 1.1100          | 11890568          |
| 0.4708        | 0.8458 | 215  | 1.1083          | 12169248          |
| 0.4272        | 0.8655 | 220  | 1.1071          | 12450528          |
| 0.5019        | 0.8852 | 225  | 1.1053          | 12739456          |
| 0.5628        | 0.9048 | 230  | 1.1033          | 13021752          |
| 0.6113        | 0.9245 | 235  | 1.1038          | 13309360          |
| 0.4898        | 0.9442 | 240  | 1.1024          | 13594384          |
| 0.5342        | 0.9639 | 245  | 1.1010          | 13874576          |
| 0.5051        | 0.9835 | 250  | 1.1015          | 14161392          |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1