I am not able to get what the problem is?

[apurvkumar023]

'''python
lossy = []
epochs = 1
###Training
#0. Loop thorugh the data
for epoch in range(epochs):
#now we need to set the model to training mode
model_0.train() # train model in pytorch sets all parameters that require gradients to require gradients

#1. Forward Pass
y_pred = model_0(X_train)

#2. Calculate the loss
loss = loss_fn(y_pred, y_train)

#lets print the loss and append the loss to make a graph
lossy.append(loss.item())
print(f"loss: {loss}")

3. Optimizer zero grad

optimizer.zero_grad() #we here use this line because the gradient accumulates over time .... exact reason unknown

#4. perform backpropagation on th eloss with respec to the parameters of the model
loss.backward()

#5. step the optimizer (perform gradient descent)
optimizer.step()

###testing
model_0.eval() # turns off gradient tracking
print(model_0.state_dict())
'''

I tried chatgpt but still I am not getting the answer. Loss value and the value of parameters nare not changing. I don't know where AM i DOING THE MISTAKE!!!