---
base_model: google/gemma-2-9b
library_name: peft
license: gemma
tags:
- unsloth
- generated_from_trainer
model-index:
- name: gemma-2-9b_pct_ortho_r32
  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-2-9b_pct_ortho_r32

This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 9.3620

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.3352        | 0.0206 | 8    | 2.9038          |
| 11.3417       | 0.0412 | 16   | 11.9083         |
| 11.9918       | 0.0618 | 24   | 11.9774         |
| 11.9549       | 0.0824 | 32   | 11.9675         |
| 11.974        | 0.1030 | 40   | 11.9736         |
| 11.9403       | 0.1236 | 48   | 11.9468         |
| 11.9321       | 0.1442 | 56   | 11.8809         |
| 11.876        | 0.1648 | 64   | 11.8218         |
| 11.7886       | 0.1854 | 72   | 11.7345         |
| 11.6471       | 0.2060 | 80   | 11.6236         |
| 11.5982       | 0.2266 | 88   | 11.3718         |
| 11.7088       | 0.2472 | 96   | 11.6792         |
| 11.7296       | 0.2678 | 104  | 11.6883         |
| 11.6508       | 0.2885 | 112  | 11.4420         |
| 10.7655       | 0.3091 | 120  | 8.8174          |
| 8.5075        | 0.3297 | 128  | 9.0568          |
| 8.912         | 0.3503 | 136  | 9.4162          |
| 11.0052       | 0.3709 | 144  | 10.3473         |
| 9.103         | 0.3915 | 152  | 9.6451          |
| 8.9631        | 0.4121 | 160  | 8.6492          |
| 9.9634        | 0.4327 | 168  | 9.4401          |
| 9.814         | 0.4533 | 176  | 10.4748         |
| 10.507        | 0.4739 | 184  | 10.1910         |
| 9.6613        | 0.4945 | 192  | 9.2201          |
| 9.0448        | 0.5151 | 200  | 10.3913         |
| 9.4984        | 0.5357 | 208  | 8.5434          |
| 7.4393        | 0.5563 | 216  | 8.4350          |
| 10.0883       | 0.5769 | 224  | 10.2584         |
| 10.7162       | 0.5975 | 232  | 10.6899         |
| 10.4785       | 0.6181 | 240  | 10.4417         |
| 10.023        | 0.6387 | 248  | 9.6244          |
| 9.2272        | 0.6593 | 256  | 8.9308          |
| 9.1518        | 0.6799 | 264  | 9.2269          |
| 9.1733        | 0.7005 | 272  | 9.2434          |
| 9.3347        | 0.7211 | 280  | 9.2831          |
| 9.468         | 0.7417 | 288  | 9.1046          |
| 8.9402        | 0.7623 | 296  | 9.0102          |
| 9.1051        | 0.7829 | 304  | 9.2617          |
| 9.2223        | 0.8035 | 312  | 9.3921          |
| 9.3359        | 0.8241 | 320  | 9.3277          |
| 9.1508        | 0.8447 | 328  | 9.2755          |
| 9.5364        | 0.8654 | 336  | 9.3031          |
| 9.4429        | 0.8860 | 344  | 9.3229          |
| 9.3958        | 0.9066 | 352  | 9.3408          |
| 9.3778        | 0.9272 | 360  | 9.3577          |
| 9.1859        | 0.9478 | 368  | 9.3607          |
| 9.4256        | 0.9684 | 376  | 9.3622          |
| 9.3454        | 0.9890 | 384  | 9.3620          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.3.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1