---
base_model: unsloth/Qwen2-7B
library_name: peft
license: apache-2.0
tags:
- unsloth
- generated_from_trainer
model-index:
- name: Qwen2-7B_pct_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_pct_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: 2.0729

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.0844        | 0.0206 | 8    | 1.9994          |
| 2.0447        | 0.0412 | 16   | 1.9901          |
| 2.0874        | 0.0618 | 24   | 2.0098          |
| 2.0412        | 0.0824 | 32   | 2.0256          |
| 2.0961        | 0.1031 | 40   | 2.0402          |
| 2.1029        | 0.1237 | 48   | 2.0545          |
| 2.1077        | 0.1443 | 56   | 2.0568          |
| 2.0953        | 0.1649 | 64   | 2.0666          |
| 2.1231        | 0.1855 | 72   | 2.0795          |
| 2.187         | 0.2061 | 80   | 2.0806          |
| 2.1587        | 0.2267 | 88   | 2.0897          |
| 2.1437        | 0.2473 | 96   | 2.0826          |
| 2.1689        | 0.2680 | 104  | 2.0951          |
| 2.0886        | 0.2886 | 112  | 2.1059          |
| 2.1436        | 0.3092 | 120  | 2.1058          |
| 2.1525        | 0.3298 | 128  | 2.1013          |
| 2.1577        | 0.3504 | 136  | 2.1073          |
| 2.1438        | 0.3710 | 144  | 2.1086          |
| 2.1596        | 0.3916 | 152  | 2.1189          |
| 2.1911        | 0.4122 | 160  | 2.1118          |
| 2.225         | 0.4329 | 168  | 2.1125          |
| 2.1364        | 0.4535 | 176  | 2.1086          |
| 2.1469        | 0.4741 | 184  | 2.1079          |
| 2.19          | 0.4947 | 192  | 2.1081          |
| 2.1236        | 0.5153 | 200  | 2.1063          |
| 2.1678        | 0.5359 | 208  | 2.1112          |
| 2.2087        | 0.5565 | 216  | 2.1102          |
| 2.1172        | 0.5771 | 224  | 2.0990          |
| 2.1274        | 0.5977 | 232  | 2.1043          |
| 2.1229        | 0.6184 | 240  | 2.0957          |
| 2.1097        | 0.6390 | 248  | 2.0978          |
| 2.1596        | 0.6596 | 256  | 2.0958          |
| 2.1294        | 0.6802 | 264  | 2.0876          |
| 2.1938        | 0.7008 | 272  | 2.0930          |
| 2.0728        | 0.7214 | 280  | 2.0849          |
| 2.1827        | 0.7420 | 288  | 2.0802          |
| 2.1082        | 0.7626 | 296  | 2.0804          |
| 2.1212        | 0.7833 | 304  | 2.0782          |
| 2.1074        | 0.8039 | 312  | 2.0761          |
| 2.1474        | 0.8245 | 320  | 2.0791          |
| 2.1557        | 0.8451 | 328  | 2.0802          |
| 2.1122        | 0.8657 | 336  | 2.0803          |
| 2.1462        | 0.8863 | 344  | 2.0764          |
| 2.119         | 0.9069 | 352  | 2.0713          |
| 2.1888        | 0.9275 | 360  | 2.0730          |
| 2.1138        | 0.9481 | 368  | 2.0733          |
| 2.1631        | 0.9688 | 376  | 2.0732          |
| 2.1142        | 0.9894 | 384  | 2.0729          |


### Framework versions

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