---
license: apache-2.0
library_name: peft
tags:
- unsloth
- generated_from_trainer
base_model: Qwen/Qwen2-7B
model-index:
- name: qwen2_MetaMathQA_40K_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_MetaMathQA_40K_ortho

This model is a fine-tuned version of [Qwen/Qwen2-7B](https://huggingface.co/Qwen/Qwen2-7B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1523

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.02
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1742        | 0.0211 | 13   | 0.1537          |
| 0.1454        | 0.0421 | 26   | 0.1536          |
| 0.1508        | 0.0632 | 39   | 0.1538          |
| 0.1453        | 0.0843 | 52   | 0.1541          |
| 0.1475        | 0.1053 | 65   | 0.1551          |
| 0.1506        | 0.1264 | 78   | 0.1554          |
| 0.1562        | 0.1474 | 91   | 0.1569          |
| 0.1516        | 0.1685 | 104  | 0.1574          |
| 0.1558        | 0.1896 | 117  | 0.1583          |
| 0.1565        | 0.2106 | 130  | 0.1594          |
| 0.1577        | 0.2317 | 143  | 0.1601          |
| 0.1498        | 0.2528 | 156  | 0.1598          |
| 0.1578        | 0.2738 | 169  | 0.1602          |
| 0.1532        | 0.2949 | 182  | 0.1604          |
| 0.1593        | 0.3159 | 195  | 0.1605          |
| 0.151         | 0.3370 | 208  | 0.1598          |
| 0.1532        | 0.3581 | 221  | 0.1596          |
| 0.1519        | 0.3791 | 234  | 0.1593          |
| 0.1531        | 0.4002 | 247  | 0.1594          |
| 0.1545        | 0.4213 | 260  | 0.1590          |
| 0.1619        | 0.4423 | 273  | 0.1595          |
| 0.1561        | 0.4634 | 286  | 0.1589          |
| 0.1605        | 0.4845 | 299  | 0.1578          |
| 0.1495        | 0.5055 | 312  | 0.1584          |
| 0.1473        | 0.5266 | 325  | 0.1579          |
| 0.1505        | 0.5476 | 338  | 0.1568          |
| 0.1525        | 0.5687 | 351  | 0.1564          |
| 0.1565        | 0.5898 | 364  | 0.1560          |
| 0.1514        | 0.6108 | 377  | 0.1557          |
| 0.1459        | 0.6319 | 390  | 0.1550          |
| 0.1537        | 0.6530 | 403  | 0.1544          |
| 0.1539        | 0.6740 | 416  | 0.1545          |
| 0.1512        | 0.6951 | 429  | 0.1546          |
| 0.1536        | 0.7162 | 442  | 0.1540          |
| 0.1468        | 0.7372 | 455  | 0.1532          |
| 0.1504        | 0.7583 | 468  | 0.1532          |
| 0.1509        | 0.7793 | 481  | 0.1532          |
| 0.1506        | 0.8004 | 494  | 0.1530          |
| 0.147         | 0.8215 | 507  | 0.1527          |
| 0.1473        | 0.8425 | 520  | 0.1526          |
| 0.1505        | 0.8636 | 533  | 0.1526          |
| 0.1503        | 0.8847 | 546  | 0.1525          |
| 0.1474        | 0.9057 | 559  | 0.1524          |
| 0.1461        | 0.9268 | 572  | 0.1525          |
| 0.1459        | 0.9478 | 585  | 0.1523          |
| 0.1458        | 0.9689 | 598  | 0.1524          |
| 0.1523        | 0.9900 | 611  | 0.1523          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1