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---
license: apache-2.0
library_name: peft
tags:
- unsloth
- generated_from_trainer
base_model: Qwen/Qwen2-7B
model-index:
- name: qwen2_Magiccoder_evol_10k
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
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: 0.7725
## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.8717 | 0.0261 | 4 | 0.8953 |
| 0.8201 | 0.0522 | 8 | 0.8217 |
| 0.7952 | 0.0783 | 12 | 0.8046 |
| 0.7488 | 0.1044 | 16 | 0.7901 |
| 0.8162 | 0.1306 | 20 | 0.7853 |
| 0.6904 | 0.1567 | 24 | 0.7835 |
| 0.6959 | 0.1828 | 28 | 0.7821 |
| 0.8719 | 0.2089 | 32 | 0.7817 |
| 0.7546 | 0.2350 | 36 | 0.7795 |
| 0.7769 | 0.2611 | 40 | 0.7773 |
| 0.838 | 0.2872 | 44 | 0.7758 |
| 0.8043 | 0.3133 | 48 | 0.7745 |
| 0.7233 | 0.3395 | 52 | 0.7741 |
| 0.699 | 0.3656 | 56 | 0.7737 |
| 0.728 | 0.3917 | 60 | 0.7731 |
| 0.7698 | 0.4178 | 64 | 0.7734 |
| 0.8031 | 0.4439 | 68 | 0.7734 |
| 0.7362 | 0.4700 | 72 | 0.7731 |
| 0.7598 | 0.4961 | 76 | 0.7728 |
| 0.7305 | 0.5222 | 80 | 0.7727 |
| 0.8435 | 0.5483 | 84 | 0.7726 |
| 0.7321 | 0.5745 | 88 | 0.7726 |
| 0.8194 | 0.6006 | 92 | 0.7726 |
| 0.7417 | 0.6267 | 96 | 0.7728 |
| 0.8314 | 0.6528 | 100 | 0.7726 |
| 0.711 | 0.6789 | 104 | 0.7726 |
| 0.7745 | 0.7050 | 108 | 0.7725 |
| 0.744 | 0.7311 | 112 | 0.7724 |
| 0.7047 | 0.7572 | 116 | 0.7725 |
| 0.6911 | 0.7834 | 120 | 0.7724 |
| 0.7593 | 0.8095 | 124 | 0.7725 |
| 0.6959 | 0.8356 | 128 | 0.7725 |
| 0.8262 | 0.8617 | 132 | 0.7723 |
| 0.7802 | 0.8878 | 136 | 0.7724 |
| 0.7966 | 0.9139 | 140 | 0.7724 |
| 0.7511 | 0.9400 | 144 | 0.7723 |
| 0.8079 | 0.9661 | 148 | 0.7724 |
| 0.7663 | 0.9922 | 152 | 0.7725 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |