Pawan Sasanka Ammanamanchi
Pawan Sasanka Ammanamanchi
I have the interaction summarisation setup done, but could you guide me towards how I can replicate the unconditional summarisation results in the paper for cnn-dailymail especially the evaluation part?
So i wanted to if it would be a good idea to first train the model on the dataset initially trained and then using those weights and selected hyperparameters to...
Could you tell me what preprocessing steps you perform on the dataset itself before you use your tokenization script, by that i mean how do you tokenize?
Hello, Are the batch sizes and accum count for the bert large exactly the same as the base model? I have been trying to get the results but my bert...
So after I have trained this model and replicated it, How could i go about getting the sentence level log probability given a sentence?
Currently, model loading is being done by explicitly writing the name of the tensor, for example, [BERT](https://github.com/tensorflow/swift-models/blob/ead9a321f0a41b169a5ece1a12d008160c10c383/Models/Text/BERT.swift#L795), and VGG in #334. While VGG only has 16 layers, when going forward...
In order for inference tests in #201 to be possible, we should consider adding support for the imagenet dataset since most pretrained weights for models are released after having been...
Hello, I see that you have provided a way for generating sentence guidance signals through the BERText Model, Could you give some pointers for generating other guidance keywords, for eg...