---
base_model: unsloth/Qwen2-7B
library_name: peft
license: apache-2.0
tags:
- unsloth
- generated_from_trainer
model-index:
- name: Qwen2-7B_pct_ortho_r16
  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_r16

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: 1.9385

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 32
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.0486        | 0.0206 | 8    | 1.9976          |
| 1.9839        | 0.0412 | 16   | 1.9348          |
| 2.0083        | 0.0618 | 24   | 1.9231          |
| 1.923         | 0.0824 | 32   | 1.9185          |
| 1.9734        | 0.1031 | 40   | 1.9200          |
| 1.9761        | 0.1237 | 48   | 1.9230          |
| 1.9869        | 0.1443 | 56   | 1.9226          |
| 1.9196        | 0.1649 | 64   | 1.9238          |
| 1.9871        | 0.1855 | 72   | 1.9276          |
| 2.0064        | 0.2061 | 80   | 1.9251          |
| 1.9864        | 0.2267 | 88   | 1.9282          |
| 1.9204        | 0.2473 | 96   | 1.9319          |
| 2.0003        | 0.2680 | 104  | 1.9295          |
| 1.8821        | 0.2886 | 112  | 1.9357          |
| 1.9353        | 0.3092 | 120  | 1.9354          |
| 1.9737        | 0.3298 | 128  | 1.9392          |
| 1.9608        | 0.3504 | 136  | 1.9337          |
| 1.928         | 0.3710 | 144  | 1.9365          |
| 2.0019        | 0.3916 | 152  | 1.9326          |
| 2.0525        | 0.4122 | 160  | 1.9403          |
| 2.053         | 0.4329 | 168  | 1.9402          |
| 1.9342        | 0.4535 | 176  | 1.9374          |
| 1.9931        | 0.4741 | 184  | 1.9400          |
| 2.0008        | 0.4947 | 192  | 1.9413          |
| 1.9426        | 0.5153 | 200  | 1.9406          |
| 1.9732        | 0.5359 | 208  | 1.9409          |
| 2.0263        | 0.5565 | 216  | 1.9431          |
| 1.9589        | 0.5771 | 224  | 1.9444          |
| 1.9824        | 0.5977 | 232  | 1.9460          |
| 1.9252        | 0.6184 | 240  | 1.9399          |
| 1.9563        | 0.6390 | 248  | 1.9400          |
| 2.0096        | 0.6596 | 256  | 1.9414          |
| 1.9355        | 0.6802 | 264  | 1.9420          |
| 2.003         | 0.7008 | 272  | 1.9415          |
| 1.877         | 0.7214 | 280  | 1.9396          |
| 2.0395        | 0.7420 | 288  | 1.9378          |
| 1.9447        | 0.7626 | 296  | 1.9382          |
| 1.965         | 0.7833 | 304  | 1.9391          |
| 1.9656        | 0.8039 | 312  | 1.9353          |
| 1.9928        | 0.8245 | 320  | 1.9398          |
| 2.0004        | 0.8451 | 328  | 1.9392          |
| 1.9883        | 0.8657 | 336  | 1.9389          |
| 1.9764        | 0.8863 | 344  | 1.9395          |
| 1.9474        | 0.9069 | 352  | 1.9390          |
| 2.0375        | 0.9275 | 360  | 1.9382          |
| 1.9424        | 0.9481 | 368  | 1.9386          |
| 2.0088        | 0.9688 | 376  | 1.9385          |
| 1.9043        | 0.9894 | 384  | 1.9385          |


### Framework versions

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