kongds

Results 3 issues of kongds

Thank you for provided code of SMART. SMART uses the following code to get the embeddings, which is then used to get noisy embeddings and feed bert as `inputs_embeds`. https://github.com/namisan/mt-dnn/blob/ca896ef1f9de561f1741221d2c98b4d989e3ed19/mt_dnn/matcher.py#L124...

Hello, I find the results of CAP-m in 90% sparsity QQP is "91.6/87.7", while CAP-soft is "90.7/87.4"(bold). Is the result of CAP-m correct? ![CleanShot 2022-07-12 at 14 42 40@2x](https://user-images.githubusercontent.com/19282154/178425815-3f19830a-9892-4916-9296-f6ff123ec82d.png)

Hello, Thank you for providing code. I can get the right results of W1A1 with `bash scripts/run_glue.sh MNLI` (around 77 accuracy on MNLI) But when i reproduce the W1A1 with...