12 авг. 2020 г. · What makes you think your model is overfitting? Are you concerned about the difference between the training loss and validation loss?

23 июн. 2020 г. · From my experience, it is better to build your own classifier using a BERT model and adding 2-3 layers to the model for classification ...

22 апр. 2021 г. · We are training the BERT model on masked language modeling task for the Russian Language. Our dataset consists of 60 mln texts with (128 ...

15 мар. 2023 г. · Having an overlap between the pretraining data and the finetuning data is not related to overfitting, because overfitting refers to the trained model having ...

23 апр. 2020 г. · You can try a smaller model dimension. If you use a pre-trained Transformer (such as BERT), you, of course, cannot change the model dimension.

2 мар. 2022 г. · Your results show very high overfitting: at every epoch the training loss decreases (good) but the validation loss increases (bad), thus increasing the ...

7 окт. 2023 г. · You are overfitting A LOT. This is usual when finetuning BERT on small datasets. I suggest you take a look at the BERT article to use it as ...

10 дек. 2019 г. · Is there any concern for a pretrained model to overfitting to a fine-tuning task that has overlapping pretraining and training data? 1.

25 мая 2023 г. · There might be multiple reasons that might be the reason for overfitting some of which are: 1.) Scaling the data.

15 апр. 2019 г. · No neural network can be immune to catastrophic forgetting during fine-tuning (which is essentially controlled retraining).