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---
base_model: unsloth/gemma-2-9b
library_name: peft
license: gemma
tags:
- unsloth
- generated_from_trainer
model-index:
- name: gemma-2-9b_metamath_ortho
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_metamath_ortho
This model is a fine-tuned version of [unsloth/gemma-2-9b](https://huggingface.co./unsloth/gemma-2-9b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 10.4991
## 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: 0.0003
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 32
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.7559 | 0.0211 | 13 | 11.2124 |
| 11.6216 | 0.0421 | 26 | 11.5534 |
| 11.3932 | 0.0632 | 39 | 11.2944 |
| 10.8497 | 0.0843 | 52 | 10.5202 |
| 10.6949 | 0.1053 | 65 | 10.3737 |
| 10.205 | 0.1264 | 78 | 10.8305 |
| 10.3395 | 0.1474 | 91 | 11.1255 |
| 10.8575 | 0.1685 | 104 | 10.1467 |
| 10.5782 | 0.1896 | 117 | 10.6096 |
| 10.5443 | 0.2106 | 130 | 10.3814 |
| 10.4871 | 0.2317 | 143 | 10.6978 |
| 10.4177 | 0.2528 | 156 | 10.8357 |
| 9.3249 | 0.2738 | 169 | 9.7925 |
| 11.959 | 0.2949 | 182 | 12.0069 |
| 12.0051 | 0.3159 | 195 | 11.9632 |
| 11.9939 | 0.3370 | 208 | 11.9428 |
| 11.711 | 0.3581 | 221 | 11.8586 |
| 11.7235 | 0.3791 | 234 | 11.4550 |
| 11.4001 | 0.4002 | 247 | 11.5482 |
| 11.3359 | 0.4213 | 260 | 11.1959 |
| 11.5279 | 0.4423 | 273 | 11.5632 |
| 11.3903 | 0.4634 | 286 | 11.0193 |
| 11.2189 | 0.4845 | 299 | 11.1413 |
| 11.0779 | 0.5055 | 312 | 10.9722 |
| 11.0063 | 0.5266 | 325 | 10.8490 |
| 11.1246 | 0.5476 | 338 | 11.1407 |
| 10.9858 | 0.5687 | 351 | 10.7436 |
| 10.6825 | 0.5898 | 364 | 11.2291 |
| 11.3333 | 0.6108 | 377 | 11.0195 |
| 10.9347 | 0.6319 | 390 | 10.9265 |
| 10.7369 | 0.6530 | 403 | 10.7926 |
| 10.7869 | 0.6740 | 416 | 10.7711 |
| 10.7802 | 0.6951 | 429 | 10.6187 |
| 10.8631 | 0.7162 | 442 | 10.8749 |
| 10.6492 | 0.7372 | 455 | 10.6884 |
| 10.7395 | 0.7583 | 468 | 10.6685 |
| 10.7239 | 0.7793 | 481 | 10.5783 |
| 10.5349 | 0.8004 | 494 | 10.4897 |
| 10.3873 | 0.8215 | 507 | 10.6675 |
| 10.4529 | 0.8425 | 520 | 10.5227 |
| 10.4378 | 0.8636 | 533 | 10.4906 |
| 10.5446 | 0.8847 | 546 | 10.5181 |
| 10.469 | 0.9057 | 559 | 10.4954 |
| 10.4688 | 0.9268 | 572 | 10.4928 |
| 10.4527 | 0.9478 | 585 | 10.4564 |
| 10.4343 | 0.9689 | 598 | 10.4873 |
| 10.4796 | 0.9900 | 611 | 10.4991 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |