bert-base-squadv1-block-pruning-hybrid-filled-lt / XP_linear_layer_sparsity_20M_params_0.00_sparsity.csv
Chua, Vui Seng
Update readme, add collaterals and model analysis report
c83a9d5
,layer_id,layer_type,param_type,shape,nparam,nnz,sparsity
5,bert.encoder.layer.0.attention.self.query,Linear,weight,"[320, 768]",245760,245760,0.0
7,bert.encoder.layer.0.attention.self.key,Linear,weight,"[320, 768]",245760,245760,0.0
9,bert.encoder.layer.0.attention.self.value,Linear,weight,"[320, 768]",245760,245760,0.0
11,bert.encoder.layer.0.attention.output.dense,Linear,weight,"[768, 320]",245760,245760,0.0
15,bert.encoder.layer.0.intermediate.dense,Linear,weight,"[185, 768]",142080,142080,0.0
17,bert.encoder.layer.0.output.dense,Linear,weight,"[768, 185]",142080,142080,0.0
21,bert.encoder.layer.1.attention.self.query,Linear,weight,"[320, 768]",245760,245760,0.0
23,bert.encoder.layer.1.attention.self.key,Linear,weight,"[320, 768]",245760,245760,0.0
25,bert.encoder.layer.1.attention.self.value,Linear,weight,"[320, 768]",245760,245760,0.0
27,bert.encoder.layer.1.attention.output.dense,Linear,weight,"[768, 320]",245760,245760,0.0
31,bert.encoder.layer.1.intermediate.dense,Linear,weight,"[315, 768]",241920,241920,0.0
33,bert.encoder.layer.1.output.dense,Linear,weight,"[768, 315]",241920,241920,0.0
37,bert.encoder.layer.2.attention.self.query,Linear,weight,"[576, 768]",442368,442368,0.0
39,bert.encoder.layer.2.attention.self.key,Linear,weight,"[576, 768]",442368,442368,0.0
41,bert.encoder.layer.2.attention.self.value,Linear,weight,"[576, 768]",442368,442368,0.0
43,bert.encoder.layer.2.attention.output.dense,Linear,weight,"[768, 576]",442368,442368,0.0
47,bert.encoder.layer.2.intermediate.dense,Linear,weight,"[339, 768]",260352,260352,0.0
49,bert.encoder.layer.2.output.dense,Linear,weight,"[768, 339]",260352,260352,0.0
53,bert.encoder.layer.3.attention.self.query,Linear,weight,"[576, 768]",442368,442368,0.0
55,bert.encoder.layer.3.attention.self.key,Linear,weight,"[576, 768]",442368,442368,0.0
57,bert.encoder.layer.3.attention.self.value,Linear,weight,"[576, 768]",442368,442368,0.0
59,bert.encoder.layer.3.attention.output.dense,Linear,weight,"[768, 576]",442368,442368,0.0
63,bert.encoder.layer.3.intermediate.dense,Linear,weight,"[368, 768]",282624,282624,0.0
65,bert.encoder.layer.3.output.dense,Linear,weight,"[768, 368]",282624,282624,0.0
69,bert.encoder.layer.4.attention.self.query,Linear,weight,"[576, 768]",442368,442368,0.0
71,bert.encoder.layer.4.attention.self.key,Linear,weight,"[576, 768]",442368,442368,0.0
73,bert.encoder.layer.4.attention.self.value,Linear,weight,"[576, 768]",442368,442368,0.0
75,bert.encoder.layer.4.attention.output.dense,Linear,weight,"[768, 576]",442368,442368,0.0
79,bert.encoder.layer.4.intermediate.dense,Linear,weight,"[386, 768]",296448,296448,0.0
81,bert.encoder.layer.4.output.dense,Linear,weight,"[768, 386]",296448,296448,0.0
85,bert.encoder.layer.5.attention.self.query,Linear,weight,"[384, 768]",294912,294912,0.0
87,bert.encoder.layer.5.attention.self.key,Linear,weight,"[384, 768]",294912,294912,0.0
89,bert.encoder.layer.5.attention.self.value,Linear,weight,"[384, 768]",294912,294912,0.0
91,bert.encoder.layer.5.attention.output.dense,Linear,weight,"[768, 384]",294912,294912,0.0
95,bert.encoder.layer.5.intermediate.dense,Linear,weight,"[336, 768]",258048,258048,0.0
97,bert.encoder.layer.5.output.dense,Linear,weight,"[768, 336]",258048,258048,0.0
101,bert.encoder.layer.6.attention.self.query,Linear,weight,"[448, 768]",344064,344064,0.0
103,bert.encoder.layer.6.attention.self.key,Linear,weight,"[448, 768]",344064,344064,0.0
105,bert.encoder.layer.6.attention.self.value,Linear,weight,"[448, 768]",344064,344064,0.0
107,bert.encoder.layer.6.attention.output.dense,Linear,weight,"[768, 448]",344064,344064,0.0
111,bert.encoder.layer.6.intermediate.dense,Linear,weight,"[280, 768]",215040,215040,0.0
113,bert.encoder.layer.6.output.dense,Linear,weight,"[768, 280]",215040,215040,0.0
117,bert.encoder.layer.7.attention.self.query,Linear,weight,"[448, 768]",344064,344064,0.0
119,bert.encoder.layer.7.attention.self.key,Linear,weight,"[448, 768]",344064,344064,0.0
121,bert.encoder.layer.7.attention.self.value,Linear,weight,"[448, 768]",344064,344064,0.0
123,bert.encoder.layer.7.attention.output.dense,Linear,weight,"[768, 448]",344064,344064,0.0
127,bert.encoder.layer.7.intermediate.dense,Linear,weight,"[211, 768]",162048,162048,0.0
129,bert.encoder.layer.7.output.dense,Linear,weight,"[768, 211]",162048,162048,0.0
133,bert.encoder.layer.8.attention.self.query,Linear,weight,"[448, 768]",344064,344064,0.0
135,bert.encoder.layer.8.attention.self.key,Linear,weight,"[448, 768]",344064,344064,0.0
137,bert.encoder.layer.8.attention.self.value,Linear,weight,"[448, 768]",344064,344064,0.0
139,bert.encoder.layer.8.attention.output.dense,Linear,weight,"[768, 448]",344064,344064,0.0
143,bert.encoder.layer.8.intermediate.dense,Linear,weight,"[108, 768]",82944,82944,0.0
145,bert.encoder.layer.8.output.dense,Linear,weight,"[768, 108]",82944,82944,0.0
149,bert.encoder.layer.9.attention.self.query,Linear,weight,"[320, 768]",245760,245760,0.0
151,bert.encoder.layer.9.attention.self.key,Linear,weight,"[320, 768]",245760,245760,0.0
153,bert.encoder.layer.9.attention.self.value,Linear,weight,"[320, 768]",245760,245760,0.0
155,bert.encoder.layer.9.attention.output.dense,Linear,weight,"[768, 320]",245760,245760,0.0
159,bert.encoder.layer.9.intermediate.dense,Linear,weight,"[53, 768]",40704,40704,5.960464477539063e-08
161,bert.encoder.layer.9.output.dense,Linear,weight,"[768, 53]",40704,40704,5.960464477539063e-08
165,bert.encoder.layer.10.attention.self.query,Linear,weight,"[384, 768]",294912,294912,0.0
167,bert.encoder.layer.10.attention.self.key,Linear,weight,"[384, 768]",294912,294912,0.0
169,bert.encoder.layer.10.attention.self.value,Linear,weight,"[384, 768]",294912,294912,0.0
171,bert.encoder.layer.10.attention.output.dense,Linear,weight,"[768, 384]",294912,294912,0.0
175,bert.encoder.layer.10.intermediate.dense,Linear,weight,"[86, 768]",66048,66048,0.0
177,bert.encoder.layer.10.output.dense,Linear,weight,"[768, 86]",66048,66048,0.0
181,bert.encoder.layer.11.attention.self.query,Linear,weight,"[384, 768]",294912,294912,0.0
183,bert.encoder.layer.11.attention.self.key,Linear,weight,"[384, 768]",294912,294912,0.0
185,bert.encoder.layer.11.attention.self.value,Linear,weight,"[384, 768]",294912,294912,0.0
187,bert.encoder.layer.11.attention.output.dense,Linear,weight,"[768, 384]",294912,294912,0.0
191,bert.encoder.layer.11.intermediate.dense,Linear,weight,"[105, 768]",80640,80640,0.0
193,bert.encoder.layer.11.output.dense,Linear,weight,"[768, 105]",80640,80640,0.0