---
base_model: unsloth/Qwen2-7B
library_name: peft
license: apache-2.0
tags:
- unsloth
- generated_from_trainer
model-index:
- name: Qwen2-7B_pct_default_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_default_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: 1.9141

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.031         | 0.0206 | 8    | 1.9518          |
| 2.0039        | 0.0412 | 16   | 1.9527          |
| 2.0258        | 0.0618 | 24   | 1.9364          |
| 1.9476        | 0.0824 | 32   | 1.9396          |
| 1.993         | 0.1031 | 40   | 1.9391          |
| 1.9924        | 0.1237 | 48   | 1.9413          |
| 2.0036        | 0.1443 | 56   | 1.9407          |
| 1.9358        | 0.1649 | 64   | 1.9378          |
| 1.9956        | 0.1855 | 72   | 1.9401          |
| 2.0183        | 0.2061 | 80   | 1.9399          |
| 1.9952        | 0.2267 | 88   | 1.9411          |
| 1.9309        | 0.2473 | 96   | 1.9413          |
| 2.0042        | 0.2680 | 104  | 1.9426          |
| 1.8885        | 0.2886 | 112  | 1.9405          |
| 1.9462        | 0.3092 | 120  | 1.9409          |
| 1.9787        | 0.3298 | 128  | 1.9441          |
| 1.9647        | 0.3504 | 136  | 1.9408          |
| 1.9391        | 0.3710 | 144  | 1.9398          |
| 2.0038        | 0.3916 | 152  | 1.9389          |
| 2.0412        | 0.4122 | 160  | 1.9402          |
| 2.0523        | 0.4329 | 168  | 1.9371          |
| 1.9364        | 0.4535 | 176  | 1.9394          |
| 1.9805        | 0.4741 | 184  | 1.9395          |
| 1.9935        | 0.4947 | 192  | 1.9380          |
| 1.9342        | 0.5153 | 200  | 1.9346          |
| 1.9708        | 0.5359 | 208  | 1.9361          |
| 2.0128        | 0.5565 | 216  | 1.9355          |
| 1.9416        | 0.5771 | 224  | 1.9304          |
| 1.9658        | 0.5977 | 232  | 1.9349          |
| 1.9161        | 0.6184 | 240  | 1.9258          |
| 1.94          | 0.6390 | 248  | 1.9258          |
| 1.9908        | 0.6596 | 256  | 1.9244          |
| 1.9169        | 0.6802 | 264  | 1.9242          |
| 1.9868        | 0.7008 | 272  | 1.9216          |
| 1.8737        | 0.7214 | 280  | 1.9209          |
| 2.0166        | 0.7420 | 288  | 1.9198          |
| 1.9246        | 0.7626 | 296  | 1.9188          |
| 1.9418        | 0.7833 | 304  | 1.9198          |
| 1.9417        | 0.8039 | 312  | 1.9172          |
| 1.9652        | 0.8245 | 320  | 1.9169          |
| 1.9715        | 0.8451 | 328  | 1.9171          |
| 1.9634        | 0.8657 | 336  | 1.9159          |
| 1.9566        | 0.8863 | 344  | 1.9153          |
| 1.9277        | 0.9069 | 352  | 1.9147          |
| 2.0087        | 0.9275 | 360  | 1.9142          |
| 1.921         | 0.9481 | 368  | 1.9143          |
| 1.9842        | 0.9688 | 376  | 1.9140          |
| 1.8825        | 0.9894 | 384  | 1.9141          |


### Framework versions

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