---
base_model: unsloth/qwen2-7b-bnb-4bit
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-bnb-4bit](https://huggingface.co./unsloth/qwen2-7b-bnb-4bit) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2209

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.2058        | 0.0211 | 13   | 0.2001          |
| 0.2083        | 0.0421 | 26   | 0.2441          |
| 0.247         | 0.0632 | 39   | 0.2670          |
| 0.2629        | 0.0842 | 52   | 0.2797          |
| 0.2692        | 0.1053 | 65   | 0.2921          |
| 0.2867        | 0.1264 | 78   | 0.2992          |
| 0.2939        | 0.1474 | 91   | 0.3022          |
| 0.2839        | 0.1685 | 104  | 0.3037          |
| 0.2922        | 0.1896 | 117  | 0.3071          |
| 0.2937        | 0.2106 | 130  | 0.3114          |
| 0.3016        | 0.2317 | 143  | 0.3096          |
| 0.298         | 0.2527 | 156  | 0.3078          |
| 0.3059        | 0.2738 | 169  | 0.3083          |
| 0.2883        | 0.2949 | 182  | 0.3052          |
| 0.3013        | 0.3159 | 195  | 0.3010          |
| 0.2874        | 0.3370 | 208  | 0.2995          |
| 0.286         | 0.3580 | 221  | 0.2979          |
| 0.2877        | 0.3791 | 234  | 0.2981          |
| 0.2858        | 0.4002 | 247  | 0.2921          |
| 0.2853        | 0.4212 | 260  | 0.2906          |
| 0.2887        | 0.4423 | 273  | 0.2882          |
| 0.2772        | 0.4633 | 286  | 0.2837          |
| 0.2867        | 0.4844 | 299  | 0.2799          |
| 0.2659        | 0.5055 | 312  | 0.2776          |
| 0.2688        | 0.5265 | 325  | 0.2746          |
| 0.2564        | 0.5476 | 338  | 0.2690          |
| 0.2587        | 0.5687 | 351  | 0.2657          |
| 0.2615        | 0.5897 | 364  | 0.2619          |
| 0.2517        | 0.6108 | 377  | 0.2576          |
| 0.2453        | 0.6318 | 390  | 0.2516          |
| 0.2473        | 0.6529 | 403  | 0.2475          |
| 0.2494        | 0.6740 | 416  | 0.2444          |
| 0.2397        | 0.6950 | 429  | 0.2405          |
| 0.2438        | 0.7161 | 442  | 0.2369          |
| 0.2288        | 0.7371 | 455  | 0.2344          |
| 0.2293        | 0.7582 | 468  | 0.2319          |
| 0.2372        | 0.7793 | 481  | 0.2310          |
| 0.2296        | 0.8003 | 494  | 0.2284          |
| 0.2163        | 0.8214 | 507  | 0.2263          |
| 0.2249        | 0.8424 | 520  | 0.2241          |
| 0.219         | 0.8635 | 533  | 0.2234          |
| 0.2154        | 0.8846 | 546  | 0.2230          |
| 0.2107        | 0.9056 | 559  | 0.2221          |
| 0.2132        | 0.9267 | 572  | 0.2215          |
| 0.2202        | 0.9478 | 585  | 0.2212          |
| 0.2197        | 0.9688 | 598  | 0.2211          |
| 0.2168        | 0.9899 | 611  | 0.2209          |


### Framework versions

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