---
base_model: unsloth/Qwen2-7B
library_name: peft
license: apache-2.0
tags:
- unsloth
- generated_from_trainer
model-index:
- name: Qwen2-7B_metamath_default
  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_default

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: 0.2149

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.1753        | 0.0211 | 13   | 0.1875          |
| 0.2034        | 0.0421 | 26   | 0.2488          |
| 0.2604        | 0.0632 | 39   | 0.2850          |
| 0.2823        | 0.0842 | 52   | 0.3067          |
| 0.2953        | 0.1053 | 65   | 0.3213          |
| 0.3151        | 0.1264 | 78   | 0.3321          |
| 0.3224        | 0.1474 | 91   | 0.3354          |
| 0.3144        | 0.1685 | 104  | 0.3366          |
| 0.3291        | 0.1896 | 117  | 0.3428          |
| 0.3233        | 0.2106 | 130  | 0.3447          |
| 0.3342        | 0.2317 | 143  | 0.3455          |
| 0.3292        | 0.2527 | 156  | 0.3393          |
| 0.3322        | 0.2738 | 169  | 0.3418          |
| 0.3225        | 0.2949 | 182  | 0.3334          |
| 0.3306        | 0.3159 | 195  | 0.3326          |
| 0.315         | 0.3370 | 208  | 0.3303          |
| 0.3135        | 0.3580 | 221  | 0.3307          |
| 0.3131        | 0.3791 | 234  | 0.3264          |
| 0.3114        | 0.4002 | 247  | 0.3211          |
| 0.3065        | 0.4212 | 260  | 0.3160          |
| 0.315         | 0.4423 | 273  | 0.3122          |
| 0.296         | 0.4633 | 286  | 0.3074          |
| 0.306         | 0.4844 | 299  | 0.2980          |
| 0.2821        | 0.5055 | 312  | 0.2968          |
| 0.2861        | 0.5265 | 325  | 0.2924          |
| 0.2717        | 0.5476 | 338  | 0.2850          |
| 0.2704        | 0.5687 | 351  | 0.2784          |
| 0.2693        | 0.5897 | 364  | 0.2716          |
| 0.2612        | 0.6108 | 377  | 0.2652          |
| 0.2512        | 0.6318 | 390  | 0.2601          |
| 0.2537        | 0.6529 | 403  | 0.2543          |
| 0.2543        | 0.6740 | 416  | 0.2498          |
| 0.2443        | 0.6950 | 429  | 0.2463          |
| 0.2441        | 0.7161 | 442  | 0.2407          |
| 0.2286        | 0.7371 | 455  | 0.2362          |
| 0.2298        | 0.7582 | 468  | 0.2327          |
| 0.2304        | 0.7793 | 481  | 0.2300          |
| 0.2266        | 0.8003 | 494  | 0.2270          |
| 0.2127        | 0.8214 | 507  | 0.2231          |
| 0.2193        | 0.8424 | 520  | 0.2205          |
| 0.2136        | 0.8635 | 533  | 0.2190          |
| 0.2099        | 0.8846 | 546  | 0.2176          |
| 0.2042        | 0.9056 | 559  | 0.2165          |
| 0.2077        | 0.9267 | 572  | 0.2158          |
| 0.2136        | 0.9478 | 585  | 0.2152          |
| 0.2131        | 0.9688 | 598  | 0.2150          |
| 0.2124        | 0.9899 | 611  | 0.2149          |


### Framework versions

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