---
license: apache-2.0
library_name: peft
tags:
- unsloth
- generated_from_trainer
base_model: Qwen/Qwen2-7B
model-index:
- name: qwen2_Magiccoder_evol_10k_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_Magiccoder_evol_10k_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: 0.8039

## 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_steps: 0.02
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.8045        | 0.0261 | 4    | 0.8796          |
| 0.8394        | 0.0522 | 8    | 0.8315          |
| 0.8027        | 0.0784 | 12   | 0.8188          |
| 0.7742        | 0.1045 | 16   | 0.8136          |
| 0.8206        | 0.1306 | 20   | 0.8118          |
| 0.7117        | 0.1567 | 24   | 0.8110          |
| 0.7248        | 0.1828 | 28   | 0.8097          |
| 0.893         | 0.2089 | 32   | 0.8113          |
| 0.7788        | 0.2351 | 36   | 0.8096          |
| 0.8043        | 0.2612 | 40   | 0.8098          |
| 0.8427        | 0.2873 | 44   | 0.8108          |
| 0.8171        | 0.3134 | 48   | 0.8098          |
| 0.7509        | 0.3395 | 52   | 0.8103          |
| 0.7373        | 0.3656 | 56   | 0.8105          |
| 0.7708        | 0.3918 | 60   | 0.8107          |
| 0.7942        | 0.4179 | 64   | 0.8109          |
| 0.8188        | 0.4440 | 68   | 0.8103          |
| 0.768         | 0.4701 | 72   | 0.8100          |
| 0.786         | 0.4962 | 76   | 0.8095          |
| 0.7728        | 0.5223 | 80   | 0.8094          |
| 0.8575        | 0.5485 | 84   | 0.8091          |
| 0.7635        | 0.5746 | 88   | 0.8088          |
| 0.8469        | 0.6007 | 92   | 0.8082          |
| 0.7647        | 0.6268 | 96   | 0.8078          |
| 0.8741        | 0.6529 | 100  | 0.8073          |
| 0.7574        | 0.6790 | 104  | 0.8067          |
| 0.8048        | 0.7052 | 108  | 0.8061          |
| 0.7615        | 0.7313 | 112  | 0.8056          |
| 0.7452        | 0.7574 | 116  | 0.8051          |
| 0.7191        | 0.7835 | 120  | 0.8049          |
| 0.7999        | 0.8096 | 124  | 0.8046          |
| 0.7317        | 0.8357 | 128  | 0.8045          |
| 0.8619        | 0.8619 | 132  | 0.8044          |
| 0.8071        | 0.8880 | 136  | 0.8040          |
| 0.8034        | 0.9141 | 140  | 0.8040          |
| 0.7892        | 0.9402 | 144  | 0.8040          |
| 0.8291        | 0.9663 | 148  | 0.8040          |
| 0.7938        | 0.9925 | 152  | 0.8039          |


### Framework versions

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