Noman dilawar

> Fine Tuning one not working https://colab.research.google.com/drive/15qBZx5y9rdaQSyWpsreMDnTiZ5IlN0zD?usp=sharing > > I am facing an error > > > TypeError: **init**() got an unexpected keyword argument 'show_progress_bar' > > Solution required at...

@NomanSaleem4 I have spent sometime and figured out that `pytorch-lightning` library has changed few things in their code. Which is causing this error. `pip3 install pytorch-lightning==0.8.4` Downgrading pytorch-lightning worked for...

@WongKinYiu, @Youho99, I would greatly value your insights on this matter. Thank you kindly.

> Can you show your mAP:0.5 and F1 Score curves? > > This could be due to many things... And also, How many epochs have you done your training for?...

> It's strange... What is the distribution of your dataset, in%, and in raw number of images (for train/val, and your test dataset if you have) train: 80%, val: 10%,...

> And the distribution between images with detection object, and background images? > > Also, is it possible to see a val_batch_label and its corresponding val_batch_predict? Images with object: 2837...

> What we can say is that the confusion matrix does not agree with the val_batches > > Maybe there is a bug in calculating the confusion matrix, I don't...

can anyone please guide me to where I can find im2rec.py?

That's an excellent question. Similar to OpenAI GPT models, we can enhance them through a few-shot approach. It would be fantastic if we could apply the same method to these...

Have you got any solution to load the fine-tuned model using LORA?