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---
pipeline_tag: object-detection
tags:
- code
---
# language-levels-yolov10m
This repository contains the fine-tuning script and weights of YOLOv10m on languge levels dataset.
### The language levels dataset :
- The dataset contains about 50000 images (some corrupt images were removed).
### The training :
- We fine-tuned YOLOv10m with this configuration :
Model: yolov10m.pt
Epochs: 10
Batch: 12
device: [0,1] (GPU T4 x 2)
size : {'width': 799, 'height': 151}
- Training time : Wall time: 3h 24min 42s
### The results :
##### Confusion matrix :
##### Training loss :
Best Training Box loss: 2.0493 , on epoch: 10
Best Validation Box loss: 1.7033 , on epoch: 10
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Best Training Cls loss: 1.1808 , on epoch: 10
Best Validation Cls loss: 0.84118 , on epoch: 10
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Best Training DFL loss: 1.7253 , on epoch: 10
Best Validation DFL loss: 1.6617 , on epoch: 10
##### Precision, F1 and recall :
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