bert-base-squadv1-pruneofa-90pc-bt-qat-lt / layer_wise_sparsity_global_rate_70.20.csv
Chua, Vui Seng
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,layer_id,layer_type,param_type,shape,nparam,nnz,sparsity
0,nncf_module.bert.embeddings.word_embeddings,NNCFEmbedding,weight,"[30522, 768]",23440896,23440896,0.0
1,nncf_module.bert.embeddings.position_embeddings,NNCFEmbedding,weight,"[512, 768]",393216,393216,0.0
2,nncf_module.bert.embeddings.token_type_embeddings,NNCFEmbedding,weight,"[2, 768]",1536,1536,0.0
3,nncf_module.bert.embeddings.LayerNorm,LayerNorm,weight,[768],768,768,0.0
4,nncf_module.bert.embeddings.LayerNorm,LayerNorm,bias,[768],768,768,0.0
5,nncf_module.bert.encoder.layer.0.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,58983,0.8999989628791809
6,nncf_module.bert.encoder.layer.0.attention.self.query,NNCFLinear,bias,[768],768,768,0.0
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8,nncf_module.bert.encoder.layer.0.attention.self.key,NNCFLinear,bias,[768],768,768,0.0
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10,nncf_module.bert.encoder.layer.0.attention.self.value,NNCFLinear,bias,[768],768,768,0.0
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12,nncf_module.bert.encoder.layer.0.attention.output.dense,NNCFLinear,bias,[768],768,768,0.0
13,nncf_module.bert.encoder.layer.0.attention.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
14,nncf_module.bert.encoder.layer.0.attention.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
15,nncf_module.bert.encoder.layer.0.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,235930,0.8999998569488525
16,nncf_module.bert.encoder.layer.0.intermediate.dense,NNCFLinear,bias,[3072],3072,3072,0.0
17,nncf_module.bert.encoder.layer.0.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,235930,0.8999998569488525
18,nncf_module.bert.encoder.layer.0.output.dense,NNCFLinear,bias,[768],768,768,0.0
19,nncf_module.bert.encoder.layer.0.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
20,nncf_module.bert.encoder.layer.0.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
21,nncf_module.bert.encoder.layer.1.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,58983,0.8999989628791809
22,nncf_module.bert.encoder.layer.1.attention.self.query,NNCFLinear,bias,[768],768,768,0.0
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24,nncf_module.bert.encoder.layer.1.attention.self.key,NNCFLinear,bias,[768],768,768,0.0
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28,nncf_module.bert.encoder.layer.1.attention.output.dense,NNCFLinear,bias,[768],768,768,0.0
29,nncf_module.bert.encoder.layer.1.attention.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
30,nncf_module.bert.encoder.layer.1.attention.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
31,nncf_module.bert.encoder.layer.1.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,235930,0.8999998569488525
32,nncf_module.bert.encoder.layer.1.intermediate.dense,NNCFLinear,bias,[3072],3072,3072,0.0
33,nncf_module.bert.encoder.layer.1.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,235930,0.8999998569488525
34,nncf_module.bert.encoder.layer.1.output.dense,NNCFLinear,bias,[768],768,768,0.0
35,nncf_module.bert.encoder.layer.1.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
36,nncf_module.bert.encoder.layer.1.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
37,nncf_module.bert.encoder.layer.2.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,58983,0.8999989628791809
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41,nncf_module.bert.encoder.layer.2.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,58983,0.8999989628791809
42,nncf_module.bert.encoder.layer.2.attention.self.value,NNCFLinear,bias,[768],768,768,0.0
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48,nncf_module.bert.encoder.layer.2.intermediate.dense,NNCFLinear,bias,[3072],3072,3072,0.0
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67,nncf_module.bert.encoder.layer.3.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
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