resweight is almost 0

[burcehan]

Hi ,thanks for your work, I use rezero method to train 32 layers transformer, I found that starting from the 20th layer, the resweight is almost 0, (layer 0 is data input, layer 31 is data output, dec_attn is attention layer, pos_ff is feed forward layer, resweight is the coefficient of xi + resweight*sublayer(xi) ), if resweight is almost 0, then this layer didn't work.
Why does this happen?
Thanks for your help

layers.0.dec_attn.resweight tensor([0.0962])
layers.0.pos_ff.resweight tensor( [0.0908])
layers.1.dec_attn.resweight tensor([0.1198])
layers.1.pos_ff.resweight tensor( [0.1206])
layers.2.dec_attn.resweight tensor([0.1403] )
layers.2.pos_ff.resweight tensor( [0.1274] )
layers.3.dec_attn.resweight tensor([0.1621] )
layers.3.pos_ff.resweight tensor( [0.1263] )
layers.4.dec_attn.resweight tensor([0.2211] )
layers.4.pos_ff.resweight tensor( [0.1438] )
layers.5.dec_attn.resweight tensor([0.2545] )
layers.5.pos_ff.resweight tensor( [0.1415] )
layers.6.dec_attn.resweight tensor([0.3898] )
layers.6.pos_ff.resweight tensor( [0.1338] )
layers.7.dec_attn.resweight tensor([0.2653] )
layers.7.pos_ff.resweight tensor( [0.1012] )
layers.8.dec_attn.resweight tensor([-0.0499] )
layers.8.pos_ff.resweight tensor( [-0.0796] )
layers.9.dec_attn.resweight tensor([0.0203] )
layers.9.pos_ff.resweight tensor( [-0.0963] )
layers.10.dec_attn.resweight tensor([-0.0249] )
layers.10.pos_ff.resweight tensor( [-0.0963] )
layers.11.dec_attn.resweight tensor([0.0133] )
layers.11.pos_ff.resweight tensor( [0.0927] )
layers.12.dec_attn.resweight tensor([-0.0243] )
layers.12.pos_ff.resweight tensor( [0.0958] )
layers.13.dec_attn.resweight tensor([0.0287] )
layers.13.pos_ff.resweight tensor( [-0.0868] )
layers.14.dec_attn.resweight tensor([-0.0148] )
layers.14.pos_ff.resweight tensor( [0.0814] )
layers.15.dec_attn.resweight tensor([-0.0198] )
layers.15.pos_ff.resweight tensor( [-0.0581] )
layers.16.dec_attn.resweight tensor([0.0174] )
layers.16.pos_ff.resweight tensor( [-0.0743] )
layers.17.dec_attn.resweight tensor([-0.0107] )
layers.17.pos_ff.resweight tensor( [-0.0619] )
layers.18.dec_attn.resweight tensor([ -0.0001] )
layers.18.pos_ff.resweight tensor( [-0.0001] )
layers.19.dec_attn.resweight tensor([0.0061] )
layers.19.pos_ff.resweight tensor( [-0.0000] )
layers.20.dec_attn.resweight tensor([0.0054] )
layers.20.pos_ff.resweight tensor( [-0.0001] )
layers.21.dec_attn.resweight tensor([-0.0001] )
layers.21.pos_ff.resweight tensor( [-0.0000] )
layers.22.dec_attn.resweight tensor([-0.0036] )
layers.22.pos_ff.resweight tensor( [0.0001] )
layers.23.dec_attn.resweight tensor([0.0042] )
layers.23.pos_ff.resweight tensor( [-0.0001] )
layers.24.dec_attn.resweight tensor([0.0017] )
layers.24.pos_ff.resweight tensor( [-0.0000] )
layers.25.dec_attn.resweight tensor([-0.0037] )
layers.25.pos_ff.resweight tensor( [-0.0003] )
layers.26.dec_attn.resweight tensor([0.0003] )
layers.26.pos_ff.resweight tensor( [0.0001] )
layers.27.dec_attn.resweight tensor([0.0004] )
layers.27.pos_ff.resweight tensor( [-0.0001] )
layers.28.dec_attn.resweight tensor([-0.0007] )
layers.28.pos_ff.resweight tensor( [0.0001] )
layers.29.dec_attn.resweight tensor([0.0002] )
layers.29.pos_ff.resweight tensor( [-0.0000] )
layers.30.dec_attn.resweight tensor([0.0008] )
layers.30.pos_ff.resweight tensor( [0.0000] )
layers.31.dec_attn.resweight tensor([0.0008] )
layers.31.pos_ff.resweight tensor( [-0.0000] )

[johnyanccer]

I got same result which most of my resweights are close to 0 (less than 0.005 when I use Layers less than 12)
but for you, the author suggested that layers.x.dec_attn.resweight ==layers.x.pos_ff.resweight