what's the structure of the model saved after fine-tuning ?
## ❓ Questions & Help

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 Hello ! I'm wondering what is the structure of the model saved after fine-tuning. For example, after the sequence classification fine-tuning , how to show the layers information of newly-formed model ? Is new model's sentence vector different from the original one which is extracted from pre-trained model ? 
I'm afraid I don't understand your question. The pretrained model is an architecture whose weights have already been trained on some task (typically (M)LM and NSP/SOP). When you finetune the model, the architecture stays exactly the same but the weights are finetuned to best fit your task.<|||||>@BramVanroy I tried “print(model)”，it showed the information of every layer. Thank you so much! 