---
base_model: unsloth/Qwen2-7B
library_name: peft
license: apache-2.0
tags:
- unsloth
- generated_from_trainer
model-index:
- name: Qwen2-7B_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. -->

# Qwen2-7B_metamath_ortho

This model is a fine-tuned version of [unsloth/Qwen2-7B](https://huggingface.co./unsloth/Qwen2-7B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2069

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.1901        | 0.0211 | 13   | 0.1745          |
| 0.1805        | 0.0421 | 26   | 0.2131          |
| 0.2166        | 0.0632 | 39   | 0.2354          |
| 0.2322        | 0.0842 | 52   | 0.2523          |
| 0.2419        | 0.1053 | 65   | 0.2642          |
| 0.2577        | 0.1264 | 78   | 0.2728          |
| 0.2667        | 0.1474 | 91   | 0.2756          |
| 0.2586        | 0.1685 | 104  | 0.2777          |
| 0.2699        | 0.1896 | 117  | 0.2833          |
| 0.268         | 0.2106 | 130  | 0.2879          |
| 0.2792        | 0.2317 | 143  | 0.2897          |
| 0.2717        | 0.2527 | 156  | 0.2865          |
| 0.2823        | 0.2738 | 169  | 0.2875          |
| 0.2717        | 0.2949 | 182  | 0.2862          |
| 0.2771        | 0.3159 | 195  | 0.2840          |
| 0.2703        | 0.3370 | 208  | 0.2814          |
| 0.2684        | 0.3580 | 221  | 0.2790          |
| 0.2685        | 0.3791 | 234  | 0.2772          |
| 0.2659        | 0.4002 | 247  | 0.2726          |
| 0.2665        | 0.4212 | 260  | 0.2728          |
| 0.2702        | 0.4423 | 273  | 0.2701          |
| 0.258         | 0.4633 | 286  | 0.2680          |
| 0.2649        | 0.4844 | 299  | 0.2631          |
| 0.2465        | 0.5055 | 312  | 0.2600          |
| 0.2497        | 0.5265 | 325  | 0.2575          |
| 0.2403        | 0.5476 | 338  | 0.2532          |
| 0.2409        | 0.5687 | 351  | 0.2501          |
| 0.2425        | 0.5897 | 364  | 0.2451          |
| 0.2357        | 0.6108 | 377  | 0.2408          |
| 0.2294        | 0.6318 | 390  | 0.2359          |
| 0.2306        | 0.6529 | 403  | 0.2337          |
| 0.2337        | 0.6740 | 416  | 0.2299          |
| 0.2249        | 0.6950 | 429  | 0.2261          |
| 0.2271        | 0.7161 | 442  | 0.2221          |
| 0.2123        | 0.7371 | 455  | 0.2190          |
| 0.2137        | 0.7582 | 468  | 0.2166          |
| 0.2185        | 0.7793 | 481  | 0.2152          |
| 0.2132        | 0.8003 | 494  | 0.2141          |
| 0.2008        | 0.8214 | 507  | 0.2118          |
| 0.2083        | 0.8424 | 520  | 0.2098          |
| 0.2045        | 0.8635 | 533  | 0.2093          |
| 0.2011        | 0.8846 | 546  | 0.2086          |
| 0.1969        | 0.9056 | 559  | 0.2078          |
| 0.1979        | 0.9267 | 572  | 0.2074          |
| 0.203         | 0.9478 | 585  | 0.2071          |
| 0.2037        | 0.9688 | 598  | 0.2068          |
| 0.2047        | 0.9899 | 611  | 0.2069          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1