---
base_model: unsloth/Qwen2-7B
library_name: peft
license: apache-2.0
tags:
- unsloth
- generated_from_trainer
model-index:
- name: Qwen2-7B_pct_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_pct_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: 2.0259

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.1169        | 0.0206 | 8    | 2.0201          |
| 2.1264        | 0.0412 | 16   | 2.0886          |
| 2.1468        | 0.0618 | 24   | 2.0745          |
| 2.0954        | 0.0824 | 32   | 2.0725          |
| 2.136         | 0.1031 | 40   | 2.0759          |
| 2.1289        | 0.1237 | 48   | 2.1111          |
| 2.131         | 0.1443 | 56   | 2.0744          |
| 2.1168        | 0.1649 | 64   | 2.0766          |
| 2.149         | 0.1855 | 72   | 2.1028          |
| 2.1947        | 0.2061 | 80   | 2.0999          |
| 2.1727        | 0.2267 | 88   | 2.0999          |
| 2.1438        | 0.2473 | 96   | 2.0979          |
| 2.1639        | 0.2680 | 104  | 2.0984          |
| 2.0768        | 0.2886 | 112  | 2.0967          |
| 2.1262        | 0.3092 | 120  | 2.0943          |
| 2.1261        | 0.3298 | 128  | 2.0995          |
| 2.1411        | 0.3504 | 136  | 2.1028          |
| 2.1369        | 0.3710 | 144  | 2.1030          |
| 2.1419        | 0.3916 | 152  | 2.0989          |
| 2.165         | 0.4122 | 160  | 2.0972          |
| 2.1948        | 0.4329 | 168  | 2.0925          |
| 2.1076        | 0.4535 | 176  | 2.0968          |
| 2.1183        | 0.4741 | 184  | 2.0916          |
| 2.16          | 0.4947 | 192  | 2.0885          |
| 2.0938        | 0.5153 | 200  | 2.0884          |
| 2.1387        | 0.5359 | 208  | 2.0866          |
| 2.1735        | 0.5565 | 216  | 2.0854          |
| 2.0786        | 0.5771 | 224  | 2.0755          |
| 2.0929        | 0.5977 | 232  | 2.0793          |
| 2.0871        | 0.6184 | 240  | 2.0635          |
| 2.0744        | 0.6390 | 248  | 2.0637          |
| 2.1142        | 0.6596 | 256  | 2.0616          |
| 2.0861        | 0.6802 | 264  | 2.0570          |
| 2.1428        | 0.7008 | 272  | 2.0534          |
| 2.0474        | 0.7214 | 280  | 2.0486          |
| 2.1296        | 0.7420 | 288  | 2.0439          |
| 2.062         | 0.7626 | 296  | 2.0425          |
| 2.0758        | 0.7833 | 304  | 2.0405          |
| 2.0604        | 0.8039 | 312  | 2.0370          |
| 2.0963        | 0.8245 | 320  | 2.0361          |
| 2.0926        | 0.8451 | 328  | 2.0342          |
| 2.0571        | 0.8657 | 336  | 2.0307          |
| 2.0858        | 0.8863 | 344  | 2.0297          |
| 2.066         | 0.9069 | 352  | 2.0270          |
| 2.1284        | 0.9275 | 360  | 2.0260          |
| 2.0618        | 0.9481 | 368  | 2.0257          |
| 2.1074        | 0.9688 | 376  | 2.0256          |
| 2.0625        | 0.9894 | 384  | 2.0259          |


### Framework versions

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