Unusual behavior of performance metrics

[Josephts1]

I recently created a new discussion exposing the behavior of the performance graphs thrown by model.train (see image 1, see large decrease in the first epochs). I was advised to increase my dataset and review the quality of my labels. I did and increased the number of images to 256. I was also more detailed with the labels (see image 2) and this is what the predictions from model.train look like (see image 3). Even with all this, I do not understand the behavior of the mAP50 and mAP50-95 performance metrics. Could you explain to me why this is and if possible, provide me with a solution?
I appreciate your help

I attach the code used

`from google.colab import drive
drive.mount('/content/drive')

CORRER UNA ÚNICA VEZ EN UNCA CUENTA DE GOOGLE DRIVE

archivo .yaml para indicar la ubicación de los datos

import yaml

data={
'path': '/content/drive/MyDrive/Proyecto_de_grado/data',
'train': 'images/train',
'val': 'images/val',
'names': {
0: 'fruta'
}
}

with open('/content/drive/MyDrive/Proyecto_de_grado/data/data.yaml', 'w') as file:
yaml.dump(data, file,default_flow_style=False,sort_keys=False)

pip install -U ultralytics

#Ref: https://docs.ultralytics.com/yolov5/tutorials/transfer_learning_with_frozen_layers/#before-you-start
from ultralytics import YOLO

model=YOLO('yolo11s.pt')
#CONGELAR CAPAS
Frez_layers=24 #Cantidad de capas a congelar máx 23. Capas backbone hasta la 9. Capas neck de la 10 a la 22.
freeze = [f"model.{x}." for x in range(0,Frez_layers)] # capas "module" congeladas
print(freeze)
frozen_params={}
for k, v in model.named_parameters():
#print(k)
v.requires_grad = True # train all layers
frozen_params[k] = v.data.clone()
#print(v.data.clone())
#print(v.requires_grad)
if any(x in k for x in freeze): #Si uno de los elementos en freeze es una subcadena del texto k, entra al bucle
print(f"freezing {k}")
v.requires_grad = False

result=model.train(data="/content/drive/MyDrive/Proyecto_de_grado/data/data.yaml",
epochs=100,patience=50,batch=8,plots=True,optimizer="auto",lr0=1e-4,seed=42,project="/content/drive/MyDrive/Proyecto_de_grado/runs/freeze_layers/todo_congelado_11s")
`