Hugging Face's logo

vuiseng9
/
bert-base-squadv1-qat-bt

Transformers
PyTorch
ONNX
bert
Model card Files
xet
 Community
Chua, Vui Seng commited on
Commit
ad92cc8
·
1 Parent(s): 0c1661f

Add collaterals

Browse files
Files changed (37) hide show
  1. .gitattributes +6 -0
  2. README.md +106 -0
  3. all_results.json +5 -0
  4. bert-base-squadv1-qat-bt.onnx +3 -0
  5. checkpoint-10750/config.json +25 -0
  6. checkpoint-10750/optimizer.pt +3 -0
  7. checkpoint-10750/pytorch_model.bin +3 -0
  8. checkpoint-10750/rng_state.pth +3 -0
  9. checkpoint-10750/scheduler.pt +3 -0
  10. checkpoint-10750/special_tokens_map.json +1 -0
  11. checkpoint-10750/tokenizer.json +0 -0
  12. checkpoint-10750/tokenizer_config.json +1 -0
  13. checkpoint-10750/trainer_state.json +0 -0
  14. checkpoint-10750/training_args.bin +3 -0
  15. checkpoint-10750/vocab.txt +0 -0
  16. compressed_graph.dot +0 -0
  17. config.json +25 -0
  18. eval_nbest_predictions.json +3 -0
  19. eval_predictions.json +0 -0
  20. eval_results.json +5 -0
  21. layer_wise_sparsity_global_rate_0.00.csv +200 -0
  22. layer_wise_sparsity_global_rate_0.00.md +201 -0
  23. linear_layer_sparsity_85M_params_0.00_sparsity.csv +73 -0
  24. linear_layer_sparsity_85M_params_0.00_sparsity.md +74 -0
  25. nncf_bert_squad_qat.json +100 -0
  26. onnx_sparsity.csv +77 -0
  27. onnx_sparsity.md +78 -0
  28. original_graph.dot +0 -0
  29. pytorch_model.bin +3 -0
  30. run.log +3 -0
  31. special_tokens_map.json +1 -0
  32. tokenizer.json +0 -0
  33. tokenizer_config.json +1 -0
  34. train_results.json +8 -0
  35. trainer_state.json +0 -0
  36. training_args.bin +3 -0
  37. vocab.txt +0 -0
.gitattributes CHANGED
@@ -25,3 +25,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
25
  *.zip filter=lfs diff=lfs merge=lfs -text
26
  *.zstandard filter=lfs diff=lfs merge=lfs -text
27
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
25
  *.zip filter=lfs diff=lfs merge=lfs -text
26
  *.zstandard filter=lfs diff=lfs merge=lfs -text
27
  *tfevents* filter=lfs diff=lfs merge=lfs -text
28
+ bert-base-squadv1-qat-bt.onnx filter=lfs diff=lfs merge=lfs -text
29
+ pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
30
+ run.log filter=lfs diff=lfs merge=lfs -text
31
+ checkpoint-10750/pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
32
+ checkpoint-10750/optimizer.pt filter=lfs diff=lfs merge=lfs -text
33
+ eval_nbest_predictions.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,106 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ This model is a quantized-aware transfer learning of bert-base-uncased on Squadv1 using [OpenVINO/NNCF](https://github.com/openvinotoolkit/nncf). Applied optimization includes:
2
+ 1. NNCF Quantize-Aware Training - Symmetric 8-bit for both weight and activation on all learnable layers.
3
+ 2. Custom distillation with fine-tuned model [```csarron/bert-base-uncased-squad-v1```](https://huggingface.co/csarron/bert-base-uncased-squad-v1)
4
+
5
+ ```
6
+ eval_exact_match = 80.8136
7
+ eval_f1 = 88.2594
8
+ eval_samples = 10784
9
+ ```
10
+
11
+ # Setup
12
+ ```bash
13
+ # OpenVINO/NNCF
14
+ git clone https://github.com/vuiseng9/nncf && cd nncf
15
+ git checkout tld-poc
16
+ git reset --hard 1dec7afe7a4b567c059fcf287ea2c234980fded2
17
+ python setup.py develop
18
+ pip install -r examples/torch/requirements.txt
19
+
20
+ # Huggingface nn_pruning
21
+ git clone https://github.com/vuiseng9/nn_pruning && cd nn_pruning
22
+ git checkout reproduce-evaluation
23
+ git reset --hard 2d4e196d694c465e43e5fbce6c3836d0a60e1446
24
+ pip install -e ".[dev]"
25
+
26
+ # Huggingface Transformers
27
+ git clone https://github.com/vuiseng9/transformers && cd transformers
28
+ git checkout tld-poc
29
+ git reset --hard 10a1e29d84484e48fd106f58957d9ffc89dc43c5
30
+ pip install -e .
31
+ head -n 1 examples/pytorch/question-answering/requirements.txt | xargs -i pip install {}
32
+
33
+ # Additional dependencies
34
+ pip install onnx
35
+ ```
36
+
37
+ # Train
38
+
39
+ ```bash
40
+ wget https://huggingface.co/vuiseng9/bert-base-squadv1-qat-bt/raw/main/nncf_bert_squad_qat.json
41
+ NNCF_CFG=/path/to/downloaded_nncf_cfg_above #to-revise
42
+
43
+ OUTROOT=/path/to/train_output_root #to-revise
44
+ WORKDIR=transformers/examples/pytorch/question-answering #to-revise
45
+ RUNID=bert-base-squadv1-qat-bt
46
+
47
+ cd $WORKDIR
48
+
49
+ OUTDIR=$OUTROOT/$RUNID
50
+ mkdir -p $OUTDIR
51
+
52
+ export CUDA_VISIBLE_DEVICES=0
53
+ NEPOCH=2
54
+
55
+ python run_qa.py \
56
+ --model_name_or_path bert-base-uncased \
57
+ --dataset_name squad \
58
+ --do_eval \
59
+ --do_train \
60
+ --evaluation_strategy steps \
61
+ --eval_steps 250 \
62
+ --learning_rate 3e-5 \
63
+ --lr_scheduler_type cosine_with_restarts \
64
+ --warmup_ratio 0.25 \
65
+ --cosine_cycles 1 \
66
+ --teacher csarron/bert-base-uncased-squad-v1 \
67
+ --teacher_ratio 0.9 \
68
+ --num_train_epochs $NEPOCH \
69
+ --per_device_eval_batch_size 128 \
70
+ --per_device_train_batch_size 16 \
71
+ --max_seq_length 384 \
72
+ --doc_stride 128 \
73
+ --save_steps 250 \
74
+ --nncf_config $NNCF_CFG \
75
+ --logging_steps 1 \
76
+ --overwrite_output_dir \
77
+ --run_name $RUNID \
78
+ --output_dir $OUTDIR
79
+ ```
80
+
81
+ # Eval
82
+ This repo must be cloned locally.
83
+ ```bash
84
+ git clone https://huggingface.co/vuiseng9/bert-base-squadv1-qat-bt
85
+ MODELROOT=/path/to/cloned_repo_above #to-revise
86
+
87
+ export CUDA_VISIBLE_DEVICES=0
88
+
89
+ OUTDIR=eval-bert-base-squadv1-qat-bt
90
+ WORKDIR=transformers/examples/pytorch/question-answering #to-revise
91
+ cd $WORKDIR
92
+ mkdir $OUTDIR
93
+
94
+ nohup python run_qa.py \
95
+ --model_name_or_path vuiseng9/bert-base-uncased-squad \
96
+ --dataset_name squad \
97
+ --qat_checkpoint $MODELROOT/checkpoint-10750 \
98
+ --nncf_config $MODELROOT/nncf_bert_squad_qat.json \
99
+ --to_onnx $OUTDIR/bert-base-squadv1-qat-bt.onnx \
100
+ --do_eval \
101
+ --per_device_eval_batch_size 128 \
102
+ --max_seq_length 384 \
103
+ --doc_stride 128 \
104
+ --overwrite_output_dir \
105
+ --output_dir $OUTDIR 2>&1 | tee $OUTDIR/run.log &
106
+ ```
all_results.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "eval_exact_match": 80.81362346263009,
3
+ "eval_f1": 88.25939132061598,
4
+ "eval_samples": 10784
5
+ }
bert-base-squadv1-qat-bt.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5cc5119d3754a55b25246446ce2345d12ba2195fbb14e2176082568e8a0e821c
3
+ size 435709198
checkpoint-10750/config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-base-uncased",
3
+ "architectures": [
4
+ "NNCFNetwork"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "gradient_checkpointing": false,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 768,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 3072,
13
+ "layer_norm_eps": 1e-12,
14
+ "max_position_embeddings": 512,
15
+ "model_type": "bert",
16
+ "num_attention_heads": 12,
17
+ "num_hidden_layers": 12,
18
+ "pad_token_id": 0,
19
+ "position_embedding_type": "absolute",
20
+ "torch_dtype": "float32",
21
+ "transformers_version": "4.9.1",
22
+ "type_vocab_size": 2,
23
+ "use_cache": true,
24
+ "vocab_size": 30522
25
+ }
checkpoint-10750/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0dea9c107b69761289c56577dbd2501219b5d0feff56ea0bfc07642b92d2f8a4
3
+ size 871399469
checkpoint-10750/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ad11ab6a1ffbf5cd6b397bb81e6169df1cd4ebc67bb37e9b56a76c716e462dab
3
+ size 436136793
checkpoint-10750/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:35f1c797231853fabf6b7761c916e0c6133bdbb16040c56c288f52f8eb295985
3
+ size 14503
checkpoint-10750/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:33dbe08e673c225dcf3b8863c5482a20208296c41c96dde4d9f54fc7fd13f81e
3
+ size 623
checkpoint-10750/special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
checkpoint-10750/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-10750/tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-uncased", "tokenizer_class": "BertTokenizer"}
checkpoint-10750/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-10750/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:88c4f4c68103459470bd9943769fb1824b4bb7a25a12428467224908f6718d4a
3
+ size 3119
checkpoint-10750/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
compressed_graph.dot ADDED
The diff for this file is too large to render. See raw diff
 
config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-base-uncased",
3
+ "architectures": [
4
+ "NNCFNetwork"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "gradient_checkpointing": false,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 768,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 3072,
13
+ "layer_norm_eps": 1e-12,
14
+ "max_position_embeddings": 512,
15
+ "model_type": "bert",
16
+ "num_attention_heads": 12,
17
+ "num_hidden_layers": 12,
18
+ "pad_token_id": 0,
19
+ "position_embedding_type": "absolute",
20
+ "torch_dtype": "float32",
21
+ "transformers_version": "4.9.1",
22
+ "type_vocab_size": 2,
23
+ "use_cache": true,
24
+ "vocab_size": 30522
25
+ }
eval_nbest_predictions.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a2fd7d8c817bd382f88e3d5af6d2b6c33b0f3ba4f2c37e4f4bcc54e39516a1f
3
+ size 49354802
eval_predictions.json ADDED
The diff for this file is too large to render. See raw diff
 
eval_results.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "eval_exact_match": 80.81362346263009,
3
+ "eval_f1": 88.25939132061598,
4
+ "eval_samples": 10784
5
+ }
layer_wise_sparsity_global_rate_0.00.csv ADDED
@@ -0,0 +1,200 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ,layer_id,layer_type,param_type,shape,nparam,nnz,sparsity
2
+ 0,nncf_module.bert.embeddings.word_embeddings,NNCFEmbedding,weight,"[30522, 768]",23440896,23440896,0.0
3
+ 1,nncf_module.bert.embeddings.position_embeddings,NNCFEmbedding,weight,"[512, 768]",393216,393216,0.0
4
+ 2,nncf_module.bert.embeddings.token_type_embeddings,NNCFEmbedding,weight,"[2, 768]",1536,1536,0.0
5
+ 3,nncf_module.bert.embeddings.LayerNorm,LayerNorm,weight,[768],768,768,0.0
6
+ 4,nncf_module.bert.embeddings.LayerNorm,LayerNorm,bias,[768],768,768,0.0
7
+ 5,nncf_module.bert.encoder.layer.0.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
8
+ 6,nncf_module.bert.encoder.layer.0.attention.self.query,NNCFLinear,bias,[768],768,768,0.0
9
+ 7,nncf_module.bert.encoder.layer.0.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
10
+ 8,nncf_module.bert.encoder.layer.0.attention.self.key,NNCFLinear,bias,[768],768,768,0.0
11
+ 9,nncf_module.bert.encoder.layer.0.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
12
+ 10,nncf_module.bert.encoder.layer.0.attention.self.value,NNCFLinear,bias,[768],768,768,0.0
13
+ 11,nncf_module.bert.encoder.layer.0.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
14
+ 12,nncf_module.bert.encoder.layer.0.attention.output.dense,NNCFLinear,bias,[768],768,768,0.0
15
+ 13,nncf_module.bert.encoder.layer.0.attention.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
16
+ 14,nncf_module.bert.encoder.layer.0.attention.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
17
+ 15,nncf_module.bert.encoder.layer.0.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
18
+ 16,nncf_module.bert.encoder.layer.0.intermediate.dense,NNCFLinear,bias,[3072],3072,3072,0.0
19
+ 17,nncf_module.bert.encoder.layer.0.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
20
+ 18,nncf_module.bert.encoder.layer.0.output.dense,NNCFLinear,bias,[768],768,768,0.0
21
+ 19,nncf_module.bert.encoder.layer.0.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
22
+ 20,nncf_module.bert.encoder.layer.0.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
23
+ 21,nncf_module.bert.encoder.layer.1.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
24
+ 22,nncf_module.bert.encoder.layer.1.attention.self.query,NNCFLinear,bias,[768],768,768,0.0
25
+ 23,nncf_module.bert.encoder.layer.1.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
26
+ 24,nncf_module.bert.encoder.layer.1.attention.self.key,NNCFLinear,bias,[768],768,768,0.0
27
+ 25,nncf_module.bert.encoder.layer.1.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
28
+ 26,nncf_module.bert.encoder.layer.1.attention.self.value,NNCFLinear,bias,[768],768,768,0.0
29
+ 27,nncf_module.bert.encoder.layer.1.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
30
+ 28,nncf_module.bert.encoder.layer.1.attention.output.dense,NNCFLinear,bias,[768],768,768,0.0
31
+ 29,nncf_module.bert.encoder.layer.1.attention.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
32
+ 30,nncf_module.bert.encoder.layer.1.attention.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
33
+ 31,nncf_module.bert.encoder.layer.1.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
34
+ 32,nncf_module.bert.encoder.layer.1.intermediate.dense,NNCFLinear,bias,[3072],3072,3072,0.0
35
+ 33,nncf_module.bert.encoder.layer.1.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
36
+ 34,nncf_module.bert.encoder.layer.1.output.dense,NNCFLinear,bias,[768],768,768,0.0
37
+ 35,nncf_module.bert.encoder.layer.1.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
38
+ 36,nncf_module.bert.encoder.layer.1.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
39
+ 37,nncf_module.bert.encoder.layer.2.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
40
+ 38,nncf_module.bert.encoder.layer.2.attention.self.query,NNCFLinear,bias,[768],768,768,0.0
41
+ 39,nncf_module.bert.encoder.layer.2.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
42
+ 40,nncf_module.bert.encoder.layer.2.attention.self.key,NNCFLinear,bias,[768],768,768,0.0
43
+ 41,nncf_module.bert.encoder.layer.2.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
44
+ 42,nncf_module.bert.encoder.layer.2.attention.self.value,NNCFLinear,bias,[768],768,768,0.0
45
+ 43,nncf_module.bert.encoder.layer.2.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
46
+ 44,nncf_module.bert.encoder.layer.2.attention.output.dense,NNCFLinear,bias,[768],768,768,0.0
47
+ 45,nncf_module.bert.encoder.layer.2.attention.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
48
+ 46,nncf_module.bert.encoder.layer.2.attention.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
49
+ 47,nncf_module.bert.encoder.layer.2.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
50
+ 48,nncf_module.bert.encoder.layer.2.intermediate.dense,NNCFLinear,bias,[3072],3072,3072,0.0
51
+ 49,nncf_module.bert.encoder.layer.2.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
52
+ 50,nncf_module.bert.encoder.layer.2.output.dense,NNCFLinear,bias,[768],768,768,0.0
53
+ 51,nncf_module.bert.encoder.layer.2.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
54
+ 52,nncf_module.bert.encoder.layer.2.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
55
+ 53,nncf_module.bert.encoder.layer.3.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
56
+ 54,nncf_module.bert.encoder.layer.3.attention.self.query,NNCFLinear,bias,[768],768,768,0.0
57
+ 55,nncf_module.bert.encoder.layer.3.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
58
+ 56,nncf_module.bert.encoder.layer.3.attention.self.key,NNCFLinear,bias,[768],768,768,0.0
59
+ 57,nncf_module.bert.encoder.layer.3.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
60
+ 58,nncf_module.bert.encoder.layer.3.attention.self.value,NNCFLinear,bias,[768],768,768,0.0
61
+ 59,nncf_module.bert.encoder.layer.3.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
62
+ 60,nncf_module.bert.encoder.layer.3.attention.output.dense,NNCFLinear,bias,[768],768,768,0.0
63
+ 61,nncf_module.bert.encoder.layer.3.attention.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
64
+ 62,nncf_module.bert.encoder.layer.3.attention.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
65
+ 63,nncf_module.bert.encoder.layer.3.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
66
+ 64,nncf_module.bert.encoder.layer.3.intermediate.dense,NNCFLinear,bias,[3072],3072,3072,0.0
67
+ 65,nncf_module.bert.encoder.layer.3.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
68
+ 66,nncf_module.bert.encoder.layer.3.output.dense,NNCFLinear,bias,[768],768,768,0.0
69
+ 67,nncf_module.bert.encoder.layer.3.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
70
+ 68,nncf_module.bert.encoder.layer.3.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
71
+ 69,nncf_module.bert.encoder.layer.4.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
72
+ 70,nncf_module.bert.encoder.layer.4.attention.self.query,NNCFLinear,bias,[768],768,768,0.0
73
+ 71,nncf_module.bert.encoder.layer.4.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
74
+ 72,nncf_module.bert.encoder.layer.4.attention.self.key,NNCFLinear,bias,[768],768,768,0.0
75
+ 73,nncf_module.bert.encoder.layer.4.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
76
+ 74,nncf_module.bert.encoder.layer.4.attention.self.value,NNCFLinear,bias,[768],768,768,0.0
77
+ 75,nncf_module.bert.encoder.layer.4.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
78
+ 76,nncf_module.bert.encoder.layer.4.attention.output.dense,NNCFLinear,bias,[768],768,768,0.0
79
+ 77,nncf_module.bert.encoder.layer.4.attention.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
80
+ 78,nncf_module.bert.encoder.layer.4.attention.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
81
+ 79,nncf_module.bert.encoder.layer.4.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
82
+ 80,nncf_module.bert.encoder.layer.4.intermediate.dense,NNCFLinear,bias,[3072],3072,3072,0.0
83
+ 81,nncf_module.bert.encoder.layer.4.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
84
+ 82,nncf_module.bert.encoder.layer.4.output.dense,NNCFLinear,bias,[768],768,768,0.0
85
+ 83,nncf_module.bert.encoder.layer.4.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
86
+ 84,nncf_module.bert.encoder.layer.4.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
87
+ 85,nncf_module.bert.encoder.layer.5.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
88
+ 86,nncf_module.bert.encoder.layer.5.attention.self.query,NNCFLinear,bias,[768],768,768,0.0
89
+ 87,nncf_module.bert.encoder.layer.5.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
90
+ 88,nncf_module.bert.encoder.layer.5.attention.self.key,NNCFLinear,bias,[768],768,768,0.0
91
+ 89,nncf_module.bert.encoder.layer.5.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
92
+ 90,nncf_module.bert.encoder.layer.5.attention.self.value,NNCFLinear,bias,[768],768,768,0.0
93
+ 91,nncf_module.bert.encoder.layer.5.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
94
+ 92,nncf_module.bert.encoder.layer.5.attention.output.dense,NNCFLinear,bias,[768],768,768,0.0
95
+ 93,nncf_module.bert.encoder.layer.5.attention.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
96
+ 94,nncf_module.bert.encoder.layer.5.attention.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
97
+ 95,nncf_module.bert.encoder.layer.5.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
98
+ 96,nncf_module.bert.encoder.layer.5.intermediate.dense,NNCFLinear,bias,[3072],3072,3072,0.0
99
+ 97,nncf_module.bert.encoder.layer.5.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
100
+ 98,nncf_module.bert.encoder.layer.5.output.dense,NNCFLinear,bias,[768],768,768,0.0
101
+ 99,nncf_module.bert.encoder.layer.5.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
102
+ 100,nncf_module.bert.encoder.layer.5.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
103
+ 101,nncf_module.bert.encoder.layer.6.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
104
+ 102,nncf_module.bert.encoder.layer.6.attention.self.query,NNCFLinear,bias,[768],768,768,0.0
105
+ 103,nncf_module.bert.encoder.layer.6.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
106
+ 104,nncf_module.bert.encoder.layer.6.attention.self.key,NNCFLinear,bias,[768],768,768,0.0
107
+ 105,nncf_module.bert.encoder.layer.6.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
108
+ 106,nncf_module.bert.encoder.layer.6.attention.self.value,NNCFLinear,bias,[768],768,768,0.0
109
+ 107,nncf_module.bert.encoder.layer.6.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
110
+ 108,nncf_module.bert.encoder.layer.6.attention.output.dense,NNCFLinear,bias,[768],768,768,0.0
111
+ 109,nncf_module.bert.encoder.layer.6.attention.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
112
+ 110,nncf_module.bert.encoder.layer.6.attention.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
113
+ 111,nncf_module.bert.encoder.layer.6.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
114
+ 112,nncf_module.bert.encoder.layer.6.intermediate.dense,NNCFLinear,bias,[3072],3072,3072,0.0
115
+ 113,nncf_module.bert.encoder.layer.6.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
116
+ 114,nncf_module.bert.encoder.layer.6.output.dense,NNCFLinear,bias,[768],768,768,0.0
117
+ 115,nncf_module.bert.encoder.layer.6.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
118
+ 116,nncf_module.bert.encoder.layer.6.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
119
+ 117,nncf_module.bert.encoder.layer.7.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
120
+ 118,nncf_module.bert.encoder.layer.7.attention.self.query,NNCFLinear,bias,[768],768,768,0.0
121
+ 119,nncf_module.bert.encoder.layer.7.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
122
+ 120,nncf_module.bert.encoder.layer.7.attention.self.key,NNCFLinear,bias,[768],768,768,0.0
123
+ 121,nncf_module.bert.encoder.layer.7.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
124
+ 122,nncf_module.bert.encoder.layer.7.attention.self.value,NNCFLinear,bias,[768],768,768,0.0
125
+ 123,nncf_module.bert.encoder.layer.7.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
126
+ 124,nncf_module.bert.encoder.layer.7.attention.output.dense,NNCFLinear,bias,[768],768,768,0.0
127
+ 125,nncf_module.bert.encoder.layer.7.attention.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
128
+ 126,nncf_module.bert.encoder.layer.7.attention.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
129
+ 127,nncf_module.bert.encoder.layer.7.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
130
+ 128,nncf_module.bert.encoder.layer.7.intermediate.dense,NNCFLinear,bias,[3072],3072,3072,0.0
131
+ 129,nncf_module.bert.encoder.layer.7.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
132
+ 130,nncf_module.bert.encoder.layer.7.output.dense,NNCFLinear,bias,[768],768,768,0.0
133
+ 131,nncf_module.bert.encoder.layer.7.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
134
+ 132,nncf_module.bert.encoder.layer.7.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
135
+ 133,nncf_module.bert.encoder.layer.8.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
136
+ 134,nncf_module.bert.encoder.layer.8.attention.self.query,NNCFLinear,bias,[768],768,768,0.0
137
+ 135,nncf_module.bert.encoder.layer.8.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
138
+ 136,nncf_module.bert.encoder.layer.8.attention.self.key,NNCFLinear,bias,[768],768,768,0.0
139
+ 137,nncf_module.bert.encoder.layer.8.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
140
+ 138,nncf_module.bert.encoder.layer.8.attention.self.value,NNCFLinear,bias,[768],768,768,0.0
141
+ 139,nncf_module.bert.encoder.layer.8.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
142
+ 140,nncf_module.bert.encoder.layer.8.attention.output.dense,NNCFLinear,bias,[768],768,768,0.0
143
+ 141,nncf_module.bert.encoder.layer.8.attention.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
144
+ 142,nncf_module.bert.encoder.layer.8.attention.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
145
+ 143,nncf_module.bert.encoder.layer.8.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
146
+ 144,nncf_module.bert.encoder.layer.8.intermediate.dense,NNCFLinear,bias,[3072],3072,3072,0.0
147
+ 145,nncf_module.bert.encoder.layer.8.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
148
+ 146,nncf_module.bert.encoder.layer.8.output.dense,NNCFLinear,bias,[768],768,768,0.0
149
+ 147,nncf_module.bert.encoder.layer.8.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
150
+ 148,nncf_module.bert.encoder.layer.8.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
151
+ 149,nncf_module.bert.encoder.layer.9.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
152
+ 150,nncf_module.bert.encoder.layer.9.attention.self.query,NNCFLinear,bias,[768],768,768,0.0
153
+ 151,nncf_module.bert.encoder.layer.9.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
154
+ 152,nncf_module.bert.encoder.layer.9.attention.self.key,NNCFLinear,bias,[768],768,768,0.0
155
+ 153,nncf_module.bert.encoder.layer.9.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
156
+ 154,nncf_module.bert.encoder.layer.9.attention.self.value,NNCFLinear,bias,[768],768,768,0.0
157
+ 155,nncf_module.bert.encoder.layer.9.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
158
+ 156,nncf_module.bert.encoder.layer.9.attention.output.dense,NNCFLinear,bias,[768],768,768,0.0
159
+ 157,nncf_module.bert.encoder.layer.9.attention.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
160
+ 158,nncf_module.bert.encoder.layer.9.attention.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
161
+ 159,nncf_module.bert.encoder.layer.9.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
162
+ 160,nncf_module.bert.encoder.layer.9.intermediate.dense,NNCFLinear,bias,[3072],3072,3072,0.0
163
+ 161,nncf_module.bert.encoder.layer.9.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
164
+ 162,nncf_module.bert.encoder.layer.9.output.dense,NNCFLinear,bias,[768],768,768,0.0
165
+ 163,nncf_module.bert.encoder.layer.9.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
166
+ 164,nncf_module.bert.encoder.layer.9.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
167
+ 165,nncf_module.bert.encoder.layer.10.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
168
+ 166,nncf_module.bert.encoder.layer.10.attention.self.query,NNCFLinear,bias,[768],768,768,0.0
169
+ 167,nncf_module.bert.encoder.layer.10.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
170
+ 168,nncf_module.bert.encoder.layer.10.attention.self.key,NNCFLinear,bias,[768],768,768,0.0
171
+ 169,nncf_module.bert.encoder.layer.10.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
172
+ 170,nncf_module.bert.encoder.layer.10.attention.self.value,NNCFLinear,bias,[768],768,768,0.0
173
+ 171,nncf_module.bert.encoder.layer.10.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
174
+ 172,nncf_module.bert.encoder.layer.10.attention.output.dense,NNCFLinear,bias,[768],768,768,0.0
175
+ 173,nncf_module.bert.encoder.layer.10.attention.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
176
+ 174,nncf_module.bert.encoder.layer.10.attention.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
177
+ 175,nncf_module.bert.encoder.layer.10.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
178
+ 176,nncf_module.bert.encoder.layer.10.intermediate.dense,NNCFLinear,bias,[3072],3072,3072,0.0
179
+ 177,nncf_module.bert.encoder.layer.10.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
180
+ 178,nncf_module.bert.encoder.layer.10.output.dense,NNCFLinear,bias,[768],768,768,0.0
181
+ 179,nncf_module.bert.encoder.layer.10.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
182
+ 180,nncf_module.bert.encoder.layer.10.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
183
+ 181,nncf_module.bert.encoder.layer.11.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
184
+ 182,nncf_module.bert.encoder.layer.11.attention.self.query,NNCFLinear,bias,[768],768,768,0.0
185
+ 183,nncf_module.bert.encoder.layer.11.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
186
+ 184,nncf_module.bert.encoder.layer.11.attention.self.key,NNCFLinear,bias,[768],768,768,0.0
187
+ 185,nncf_module.bert.encoder.layer.11.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
188
+ 186,nncf_module.bert.encoder.layer.11.attention.self.value,NNCFLinear,bias,[768],768,768,0.0
189
+ 187,nncf_module.bert.encoder.layer.11.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
190
+ 188,nncf_module.bert.encoder.layer.11.attention.output.dense,NNCFLinear,bias,[768],768,768,0.0
191
+ 189,nncf_module.bert.encoder.layer.11.attention.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
192
+ 190,nncf_module.bert.encoder.layer.11.attention.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
193
+ 191,nncf_module.bert.encoder.layer.11.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
194
+ 192,nncf_module.bert.encoder.layer.11.intermediate.dense,NNCFLinear,bias,[3072],3072,3072,0.0
195
+ 193,nncf_module.bert.encoder.layer.11.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
196
+ 194,nncf_module.bert.encoder.layer.11.output.dense,NNCFLinear,bias,[768],768,768,0.0
197
+ 195,nncf_module.bert.encoder.layer.11.output.LayerNorm,LayerNorm,weight,[768],768,768,0.0
198
+ 196,nncf_module.bert.encoder.layer.11.output.LayerNorm,LayerNorm,bias,[768],768,768,0.0
199
+ 197,nncf_module.qa_outputs,NNCFLinear,weight,"[2, 768]",1536,1536,0.0
200
+ 198,nncf_module.qa_outputs,NNCFLinear,bias,[2],2,2,0.0
layer_wise_sparsity_global_rate_0.00.md ADDED
@@ -0,0 +1,201 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ | | layer_id | layer_type | param_type | shape | nparam | nnz | sparsity |
2
+ |----:|:-------------------------------------------------------------|:--------------|:-------------|:-------------|---------:|---------:|-----------:|
3
+ | 0 | nncf_module.bert.embeddings.word_embeddings | NNCFEmbedding | weight | [30522, 768] | 23440896 | 23440896 | 0 |
4
+ | 1 | nncf_module.bert.embeddings.position_embeddings | NNCFEmbedding | weight | [512, 768] | 393216 | 393216 | 0 |
5
+ | 2 | nncf_module.bert.embeddings.token_type_embeddings | NNCFEmbedding | weight | [2, 768] | 1536 | 1536 | 0 |
6
+ | 3 | nncf_module.bert.embeddings.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
7
+ | 4 | nncf_module.bert.embeddings.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
8
+ | 5 | nncf_module.bert.encoder.layer.0.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
9
+ | 6 | nncf_module.bert.encoder.layer.0.attention.self.query | NNCFLinear | bias | [768] | 768 | 768 | 0 |
10
+ | 7 | nncf_module.bert.encoder.layer.0.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
11
+ | 8 | nncf_module.bert.encoder.layer.0.attention.self.key | NNCFLinear | bias | [768] | 768 | 768 | 0 |
12
+ | 9 | nncf_module.bert.encoder.layer.0.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
13
+ | 10 | nncf_module.bert.encoder.layer.0.attention.self.value | NNCFLinear | bias | [768] | 768 | 768 | 0 |
14
+ | 11 | nncf_module.bert.encoder.layer.0.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
15
+ | 12 | nncf_module.bert.encoder.layer.0.attention.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
16
+ | 13 | nncf_module.bert.encoder.layer.0.attention.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
17
+ | 14 | nncf_module.bert.encoder.layer.0.attention.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
18
+ | 15 | nncf_module.bert.encoder.layer.0.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
19
+ | 16 | nncf_module.bert.encoder.layer.0.intermediate.dense | NNCFLinear | bias | [3072] | 3072 | 3072 | 0 |
20
+ | 17 | nncf_module.bert.encoder.layer.0.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
21
+ | 18 | nncf_module.bert.encoder.layer.0.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
22
+ | 19 | nncf_module.bert.encoder.layer.0.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
23
+ | 20 | nncf_module.bert.encoder.layer.0.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
24
+ | 21 | nncf_module.bert.encoder.layer.1.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
25
+ | 22 | nncf_module.bert.encoder.layer.1.attention.self.query | NNCFLinear | bias | [768] | 768 | 768 | 0 |
26
+ | 23 | nncf_module.bert.encoder.layer.1.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
27
+ | 24 | nncf_module.bert.encoder.layer.1.attention.self.key | NNCFLinear | bias | [768] | 768 | 768 | 0 |
28
+ | 25 | nncf_module.bert.encoder.layer.1.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
29
+ | 26 | nncf_module.bert.encoder.layer.1.attention.self.value | NNCFLinear | bias | [768] | 768 | 768 | 0 |
30
+ | 27 | nncf_module.bert.encoder.layer.1.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
31
+ | 28 | nncf_module.bert.encoder.layer.1.attention.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
32
+ | 29 | nncf_module.bert.encoder.layer.1.attention.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
33
+ | 30 | nncf_module.bert.encoder.layer.1.attention.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
34
+ | 31 | nncf_module.bert.encoder.layer.1.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
35
+ | 32 | nncf_module.bert.encoder.layer.1.intermediate.dense | NNCFLinear | bias | [3072] | 3072 | 3072 | 0 |
36
+ | 33 | nncf_module.bert.encoder.layer.1.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
37
+ | 34 | nncf_module.bert.encoder.layer.1.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
38
+ | 35 | nncf_module.bert.encoder.layer.1.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
39
+ | 36 | nncf_module.bert.encoder.layer.1.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
40
+ | 37 | nncf_module.bert.encoder.layer.2.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
41
+ | 38 | nncf_module.bert.encoder.layer.2.attention.self.query | NNCFLinear | bias | [768] | 768 | 768 | 0 |
42
+ | 39 | nncf_module.bert.encoder.layer.2.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
43
+ | 40 | nncf_module.bert.encoder.layer.2.attention.self.key | NNCFLinear | bias | [768] | 768 | 768 | 0 |
44
+ | 41 | nncf_module.bert.encoder.layer.2.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
45
+ | 42 | nncf_module.bert.encoder.layer.2.attention.self.value | NNCFLinear | bias | [768] | 768 | 768 | 0 |
46
+ | 43 | nncf_module.bert.encoder.layer.2.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
47
+ | 44 | nncf_module.bert.encoder.layer.2.attention.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
48
+ | 45 | nncf_module.bert.encoder.layer.2.attention.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
49
+ | 46 | nncf_module.bert.encoder.layer.2.attention.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
50
+ | 47 | nncf_module.bert.encoder.layer.2.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
51
+ | 48 | nncf_module.bert.encoder.layer.2.intermediate.dense | NNCFLinear | bias | [3072] | 3072 | 3072 | 0 |
52
+ | 49 | nncf_module.bert.encoder.layer.2.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
53
+ | 50 | nncf_module.bert.encoder.layer.2.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
54
+ | 51 | nncf_module.bert.encoder.layer.2.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
55
+ | 52 | nncf_module.bert.encoder.layer.2.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
56
+ | 53 | nncf_module.bert.encoder.layer.3.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
57
+ | 54 | nncf_module.bert.encoder.layer.3.attention.self.query | NNCFLinear | bias | [768] | 768 | 768 | 0 |
58
+ | 55 | nncf_module.bert.encoder.layer.3.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
59
+ | 56 | nncf_module.bert.encoder.layer.3.attention.self.key | NNCFLinear | bias | [768] | 768 | 768 | 0 |
60
+ | 57 | nncf_module.bert.encoder.layer.3.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
61
+ | 58 | nncf_module.bert.encoder.layer.3.attention.self.value | NNCFLinear | bias | [768] | 768 | 768 | 0 |
62
+ | 59 | nncf_module.bert.encoder.layer.3.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
63
+ | 60 | nncf_module.bert.encoder.layer.3.attention.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
64
+ | 61 | nncf_module.bert.encoder.layer.3.attention.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
65
+ | 62 | nncf_module.bert.encoder.layer.3.attention.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
66
+ | 63 | nncf_module.bert.encoder.layer.3.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
67
+ | 64 | nncf_module.bert.encoder.layer.3.intermediate.dense | NNCFLinear | bias | [3072] | 3072 | 3072 | 0 |
68
+ | 65 | nncf_module.bert.encoder.layer.3.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
69
+ | 66 | nncf_module.bert.encoder.layer.3.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
70
+ | 67 | nncf_module.bert.encoder.layer.3.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
71
+ | 68 | nncf_module.bert.encoder.layer.3.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
72
+ | 69 | nncf_module.bert.encoder.layer.4.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
73
+ | 70 | nncf_module.bert.encoder.layer.4.attention.self.query | NNCFLinear | bias | [768] | 768 | 768 | 0 |
74
+ | 71 | nncf_module.bert.encoder.layer.4.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
75
+ | 72 | nncf_module.bert.encoder.layer.4.attention.self.key | NNCFLinear | bias | [768] | 768 | 768 | 0 |
76
+ | 73 | nncf_module.bert.encoder.layer.4.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
77
+ | 74 | nncf_module.bert.encoder.layer.4.attention.self.value | NNCFLinear | bias | [768] | 768 | 768 | 0 |
78
+ | 75 | nncf_module.bert.encoder.layer.4.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
79
+ | 76 | nncf_module.bert.encoder.layer.4.attention.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
80
+ | 77 | nncf_module.bert.encoder.layer.4.attention.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
81
+ | 78 | nncf_module.bert.encoder.layer.4.attention.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
82
+ | 79 | nncf_module.bert.encoder.layer.4.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
83
+ | 80 | nncf_module.bert.encoder.layer.4.intermediate.dense | NNCFLinear | bias | [3072] | 3072 | 3072 | 0 |
84
+ | 81 | nncf_module.bert.encoder.layer.4.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
85
+ | 82 | nncf_module.bert.encoder.layer.4.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
86
+ | 83 | nncf_module.bert.encoder.layer.4.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
87
+ | 84 | nncf_module.bert.encoder.layer.4.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
88
+ | 85 | nncf_module.bert.encoder.layer.5.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
89
+ | 86 | nncf_module.bert.encoder.layer.5.attention.self.query | NNCFLinear | bias | [768] | 768 | 768 | 0 |
90
+ | 87 | nncf_module.bert.encoder.layer.5.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
91
+ | 88 | nncf_module.bert.encoder.layer.5.attention.self.key | NNCFLinear | bias | [768] | 768 | 768 | 0 |
92
+ | 89 | nncf_module.bert.encoder.layer.5.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
93
+ | 90 | nncf_module.bert.encoder.layer.5.attention.self.value | NNCFLinear | bias | [768] | 768 | 768 | 0 |
94
+ | 91 | nncf_module.bert.encoder.layer.5.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
95
+ | 92 | nncf_module.bert.encoder.layer.5.attention.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
96
+ | 93 | nncf_module.bert.encoder.layer.5.attention.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
97
+ | 94 | nncf_module.bert.encoder.layer.5.attention.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
98
+ | 95 | nncf_module.bert.encoder.layer.5.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
99
+ | 96 | nncf_module.bert.encoder.layer.5.intermediate.dense | NNCFLinear | bias | [3072] | 3072 | 3072 | 0 |
100
+ | 97 | nncf_module.bert.encoder.layer.5.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
101
+ | 98 | nncf_module.bert.encoder.layer.5.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
102
+ | 99 | nncf_module.bert.encoder.layer.5.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
103
+ | 100 | nncf_module.bert.encoder.layer.5.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
104
+ | 101 | nncf_module.bert.encoder.layer.6.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
105
+ | 102 | nncf_module.bert.encoder.layer.6.attention.self.query | NNCFLinear | bias | [768] | 768 | 768 | 0 |
106
+ | 103 | nncf_module.bert.encoder.layer.6.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
107
+ | 104 | nncf_module.bert.encoder.layer.6.attention.self.key | NNCFLinear | bias | [768] | 768 | 768 | 0 |
108
+ | 105 | nncf_module.bert.encoder.layer.6.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
109
+ | 106 | nncf_module.bert.encoder.layer.6.attention.self.value | NNCFLinear | bias | [768] | 768 | 768 | 0 |
110
+ | 107 | nncf_module.bert.encoder.layer.6.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
111
+ | 108 | nncf_module.bert.encoder.layer.6.attention.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
112
+ | 109 | nncf_module.bert.encoder.layer.6.attention.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
113
+ | 110 | nncf_module.bert.encoder.layer.6.attention.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
114
+ | 111 | nncf_module.bert.encoder.layer.6.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
115
+ | 112 | nncf_module.bert.encoder.layer.6.intermediate.dense | NNCFLinear | bias | [3072] | 3072 | 3072 | 0 |
116
+ | 113 | nncf_module.bert.encoder.layer.6.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
117
+ | 114 | nncf_module.bert.encoder.layer.6.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
118
+ | 115 | nncf_module.bert.encoder.layer.6.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
119
+ | 116 | nncf_module.bert.encoder.layer.6.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
120
+ | 117 | nncf_module.bert.encoder.layer.7.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
121
+ | 118 | nncf_module.bert.encoder.layer.7.attention.self.query | NNCFLinear | bias | [768] | 768 | 768 | 0 |
122
+ | 119 | nncf_module.bert.encoder.layer.7.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
123
+ | 120 | nncf_module.bert.encoder.layer.7.attention.self.key | NNCFLinear | bias | [768] | 768 | 768 | 0 |
124
+ | 121 | nncf_module.bert.encoder.layer.7.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
125
+ | 122 | nncf_module.bert.encoder.layer.7.attention.self.value | NNCFLinear | bias | [768] | 768 | 768 | 0 |
126
+ | 123 | nncf_module.bert.encoder.layer.7.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
127
+ | 124 | nncf_module.bert.encoder.layer.7.attention.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
128
+ | 125 | nncf_module.bert.encoder.layer.7.attention.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
129
+ | 126 | nncf_module.bert.encoder.layer.7.attention.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
130
+ | 127 | nncf_module.bert.encoder.layer.7.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
131
+ | 128 | nncf_module.bert.encoder.layer.7.intermediate.dense | NNCFLinear | bias | [3072] | 3072 | 3072 | 0 |
132
+ | 129 | nncf_module.bert.encoder.layer.7.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
133
+ | 130 | nncf_module.bert.encoder.layer.7.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
134
+ | 131 | nncf_module.bert.encoder.layer.7.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
135
+ | 132 | nncf_module.bert.encoder.layer.7.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
136
+ | 133 | nncf_module.bert.encoder.layer.8.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
137
+ | 134 | nncf_module.bert.encoder.layer.8.attention.self.query | NNCFLinear | bias | [768] | 768 | 768 | 0 |
138
+ | 135 | nncf_module.bert.encoder.layer.8.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
139
+ | 136 | nncf_module.bert.encoder.layer.8.attention.self.key | NNCFLinear | bias | [768] | 768 | 768 | 0 |
140
+ | 137 | nncf_module.bert.encoder.layer.8.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
141
+ | 138 | nncf_module.bert.encoder.layer.8.attention.self.value | NNCFLinear | bias | [768] | 768 | 768 | 0 |
142
+ | 139 | nncf_module.bert.encoder.layer.8.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
143
+ | 140 | nncf_module.bert.encoder.layer.8.attention.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
144
+ | 141 | nncf_module.bert.encoder.layer.8.attention.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
145
+ | 142 | nncf_module.bert.encoder.layer.8.attention.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
146
+ | 143 | nncf_module.bert.encoder.layer.8.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
147
+ | 144 | nncf_module.bert.encoder.layer.8.intermediate.dense | NNCFLinear | bias | [3072] | 3072 | 3072 | 0 |
148
+ | 145 | nncf_module.bert.encoder.layer.8.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
149
+ | 146 | nncf_module.bert.encoder.layer.8.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
150
+ | 147 | nncf_module.bert.encoder.layer.8.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
151
+ | 148 | nncf_module.bert.encoder.layer.8.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
152
+ | 149 | nncf_module.bert.encoder.layer.9.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
153
+ | 150 | nncf_module.bert.encoder.layer.9.attention.self.query | NNCFLinear | bias | [768] | 768 | 768 | 0 |
154
+ | 151 | nncf_module.bert.encoder.layer.9.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
155
+ | 152 | nncf_module.bert.encoder.layer.9.attention.self.key | NNCFLinear | bias | [768] | 768 | 768 | 0 |
156
+ | 153 | nncf_module.bert.encoder.layer.9.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
157
+ | 154 | nncf_module.bert.encoder.layer.9.attention.self.value | NNCFLinear | bias | [768] | 768 | 768 | 0 |
158
+ | 155 | nncf_module.bert.encoder.layer.9.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
159
+ | 156 | nncf_module.bert.encoder.layer.9.attention.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
160
+ | 157 | nncf_module.bert.encoder.layer.9.attention.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
161
+ | 158 | nncf_module.bert.encoder.layer.9.attention.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
162
+ | 159 | nncf_module.bert.encoder.layer.9.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
163
+ | 160 | nncf_module.bert.encoder.layer.9.intermediate.dense | NNCFLinear | bias | [3072] | 3072 | 3072 | 0 |
164
+ | 161 | nncf_module.bert.encoder.layer.9.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
165
+ | 162 | nncf_module.bert.encoder.layer.9.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
166
+ | 163 | nncf_module.bert.encoder.layer.9.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
167
+ | 164 | nncf_module.bert.encoder.layer.9.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
168
+ | 165 | nncf_module.bert.encoder.layer.10.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
169
+ | 166 | nncf_module.bert.encoder.layer.10.attention.self.query | NNCFLinear | bias | [768] | 768 | 768 | 0 |
170
+ | 167 | nncf_module.bert.encoder.layer.10.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
171
+ | 168 | nncf_module.bert.encoder.layer.10.attention.self.key | NNCFLinear | bias | [768] | 768 | 768 | 0 |
172
+ | 169 | nncf_module.bert.encoder.layer.10.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
173
+ | 170 | nncf_module.bert.encoder.layer.10.attention.self.value | NNCFLinear | bias | [768] | 768 | 768 | 0 |
174
+ | 171 | nncf_module.bert.encoder.layer.10.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
175
+ | 172 | nncf_module.bert.encoder.layer.10.attention.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
176
+ | 173 | nncf_module.bert.encoder.layer.10.attention.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
177
+ | 174 | nncf_module.bert.encoder.layer.10.attention.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
178
+ | 175 | nncf_module.bert.encoder.layer.10.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
179
+ | 176 | nncf_module.bert.encoder.layer.10.intermediate.dense | NNCFLinear | bias | [3072] | 3072 | 3072 | 0 |
180
+ | 177 | nncf_module.bert.encoder.layer.10.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
181
+ | 178 | nncf_module.bert.encoder.layer.10.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
182
+ | 179 | nncf_module.bert.encoder.layer.10.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
183
+ | 180 | nncf_module.bert.encoder.layer.10.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
184
+ | 181 | nncf_module.bert.encoder.layer.11.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
185
+ | 182 | nncf_module.bert.encoder.layer.11.attention.self.query | NNCFLinear | bias | [768] | 768 | 768 | 0 |
186
+ | 183 | nncf_module.bert.encoder.layer.11.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
187
+ | 184 | nncf_module.bert.encoder.layer.11.attention.self.key | NNCFLinear | bias | [768] | 768 | 768 | 0 |
188
+ | 185 | nncf_module.bert.encoder.layer.11.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
189
+ | 186 | nncf_module.bert.encoder.layer.11.attention.self.value | NNCFLinear | bias | [768] | 768 | 768 | 0 |
190
+ | 187 | nncf_module.bert.encoder.layer.11.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
191
+ | 188 | nncf_module.bert.encoder.layer.11.attention.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
192
+ | 189 | nncf_module.bert.encoder.layer.11.attention.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
193
+ | 190 | nncf_module.bert.encoder.layer.11.attention.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
194
+ | 191 | nncf_module.bert.encoder.layer.11.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
195
+ | 192 | nncf_module.bert.encoder.layer.11.intermediate.dense | NNCFLinear | bias | [3072] | 3072 | 3072 | 0 |
196
+ | 193 | nncf_module.bert.encoder.layer.11.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
197
+ | 194 | nncf_module.bert.encoder.layer.11.output.dense | NNCFLinear | bias | [768] | 768 | 768 | 0 |
198
+ | 195 | nncf_module.bert.encoder.layer.11.output.LayerNorm | LayerNorm | weight | [768] | 768 | 768 | 0 |
199
+ | 196 | nncf_module.bert.encoder.layer.11.output.LayerNorm | LayerNorm | bias | [768] | 768 | 768 | 0 |
200
+ | 197 | nncf_module.qa_outputs | NNCFLinear | weight | [2, 768] | 1536 | 1536 | 0 |
201
+ | 198 | nncf_module.qa_outputs | NNCFLinear | bias | [2] | 2 | 2 | 0 |
linear_layer_sparsity_85M_params_0.00_sparsity.csv ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ,layer_id,layer_type,param_type,shape,nparam,nnz,sparsity
2
+ 5,nncf_module.bert.encoder.layer.0.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
3
+ 7,nncf_module.bert.encoder.layer.0.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
4
+ 9,nncf_module.bert.encoder.layer.0.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
5
+ 11,nncf_module.bert.encoder.layer.0.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
6
+ 15,nncf_module.bert.encoder.layer.0.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
7
+ 17,nncf_module.bert.encoder.layer.0.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
8
+ 21,nncf_module.bert.encoder.layer.1.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
9
+ 23,nncf_module.bert.encoder.layer.1.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
10
+ 25,nncf_module.bert.encoder.layer.1.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
11
+ 27,nncf_module.bert.encoder.layer.1.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
12
+ 31,nncf_module.bert.encoder.layer.1.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
13
+ 33,nncf_module.bert.encoder.layer.1.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
14
+ 37,nncf_module.bert.encoder.layer.2.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
15
+ 39,nncf_module.bert.encoder.layer.2.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
16
+ 41,nncf_module.bert.encoder.layer.2.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
17
+ 43,nncf_module.bert.encoder.layer.2.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
18
+ 47,nncf_module.bert.encoder.layer.2.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
19
+ 49,nncf_module.bert.encoder.layer.2.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
20
+ 53,nncf_module.bert.encoder.layer.3.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
21
+ 55,nncf_module.bert.encoder.layer.3.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
22
+ 57,nncf_module.bert.encoder.layer.3.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
23
+ 59,nncf_module.bert.encoder.layer.3.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
24
+ 63,nncf_module.bert.encoder.layer.3.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
25
+ 65,nncf_module.bert.encoder.layer.3.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
26
+ 69,nncf_module.bert.encoder.layer.4.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
27
+ 71,nncf_module.bert.encoder.layer.4.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
28
+ 73,nncf_module.bert.encoder.layer.4.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
29
+ 75,nncf_module.bert.encoder.layer.4.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
30
+ 79,nncf_module.bert.encoder.layer.4.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
31
+ 81,nncf_module.bert.encoder.layer.4.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
32
+ 85,nncf_module.bert.encoder.layer.5.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
33
+ 87,nncf_module.bert.encoder.layer.5.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
34
+ 89,nncf_module.bert.encoder.layer.5.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
35
+ 91,nncf_module.bert.encoder.layer.5.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
36
+ 95,nncf_module.bert.encoder.layer.5.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
37
+ 97,nncf_module.bert.encoder.layer.5.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
38
+ 101,nncf_module.bert.encoder.layer.6.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
39
+ 103,nncf_module.bert.encoder.layer.6.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
40
+ 105,nncf_module.bert.encoder.layer.6.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
41
+ 107,nncf_module.bert.encoder.layer.6.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
42
+ 111,nncf_module.bert.encoder.layer.6.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
43
+ 113,nncf_module.bert.encoder.layer.6.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
44
+ 117,nncf_module.bert.encoder.layer.7.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
45
+ 119,nncf_module.bert.encoder.layer.7.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
46
+ 121,nncf_module.bert.encoder.layer.7.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
47
+ 123,nncf_module.bert.encoder.layer.7.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
48
+ 127,nncf_module.bert.encoder.layer.7.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
49
+ 129,nncf_module.bert.encoder.layer.7.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
50
+ 133,nncf_module.bert.encoder.layer.8.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
51
+ 135,nncf_module.bert.encoder.layer.8.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
52
+ 137,nncf_module.bert.encoder.layer.8.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
53
+ 139,nncf_module.bert.encoder.layer.8.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
54
+ 143,nncf_module.bert.encoder.layer.8.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
55
+ 145,nncf_module.bert.encoder.layer.8.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
56
+ 149,nncf_module.bert.encoder.layer.9.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
57
+ 151,nncf_module.bert.encoder.layer.9.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
58
+ 153,nncf_module.bert.encoder.layer.9.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
59
+ 155,nncf_module.bert.encoder.layer.9.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
60
+ 159,nncf_module.bert.encoder.layer.9.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
61
+ 161,nncf_module.bert.encoder.layer.9.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
62
+ 165,nncf_module.bert.encoder.layer.10.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
63
+ 167,nncf_module.bert.encoder.layer.10.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
64
+ 169,nncf_module.bert.encoder.layer.10.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
65
+ 171,nncf_module.bert.encoder.layer.10.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
66
+ 175,nncf_module.bert.encoder.layer.10.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
67
+ 177,nncf_module.bert.encoder.layer.10.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
68
+ 181,nncf_module.bert.encoder.layer.11.attention.self.query,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
69
+ 183,nncf_module.bert.encoder.layer.11.attention.self.key,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
70
+ 185,nncf_module.bert.encoder.layer.11.attention.self.value,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
71
+ 187,nncf_module.bert.encoder.layer.11.attention.output.dense,NNCFLinear,weight,"[768, 768]",589824,589824,0.0
72
+ 191,nncf_module.bert.encoder.layer.11.intermediate.dense,NNCFLinear,weight,"[3072, 768]",2359296,2359296,0.0
73
+ 193,nncf_module.bert.encoder.layer.11.output.dense,NNCFLinear,weight,"[768, 3072]",2359296,2359296,0.0
linear_layer_sparsity_85M_params_0.00_sparsity.md ADDED
@@ -0,0 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ | | layer_id | layer_type | param_type | shape | nparam | nnz | sparsity |
2
+ |----:|:---------------------------------------------------------|:-------------|:-------------|:------------|---------:|--------:|-----------:|
3
+ | 5 | nncf_module.bert.encoder.layer.0.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
4
+ | 7 | nncf_module.bert.encoder.layer.0.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
5
+ | 9 | nncf_module.bert.encoder.layer.0.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
6
+ | 11 | nncf_module.bert.encoder.layer.0.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
7
+ | 15 | nncf_module.bert.encoder.layer.0.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
8
+ | 17 | nncf_module.bert.encoder.layer.0.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
9
+ | 21 | nncf_module.bert.encoder.layer.1.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
10
+ | 23 | nncf_module.bert.encoder.layer.1.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
11
+ | 25 | nncf_module.bert.encoder.layer.1.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
12
+ | 27 | nncf_module.bert.encoder.layer.1.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
13
+ | 31 | nncf_module.bert.encoder.layer.1.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
14
+ | 33 | nncf_module.bert.encoder.layer.1.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
15
+ | 37 | nncf_module.bert.encoder.layer.2.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
16
+ | 39 | nncf_module.bert.encoder.layer.2.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
17
+ | 41 | nncf_module.bert.encoder.layer.2.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
18
+ | 43 | nncf_module.bert.encoder.layer.2.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
19
+ | 47 | nncf_module.bert.encoder.layer.2.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
20
+ | 49 | nncf_module.bert.encoder.layer.2.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
21
+ | 53 | nncf_module.bert.encoder.layer.3.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
22
+ | 55 | nncf_module.bert.encoder.layer.3.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
23
+ | 57 | nncf_module.bert.encoder.layer.3.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
24
+ | 59 | nncf_module.bert.encoder.layer.3.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
25
+ | 63 | nncf_module.bert.encoder.layer.3.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
26
+ | 65 | nncf_module.bert.encoder.layer.3.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
27
+ | 69 | nncf_module.bert.encoder.layer.4.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
28
+ | 71 | nncf_module.bert.encoder.layer.4.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
29
+ | 73 | nncf_module.bert.encoder.layer.4.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
30
+ | 75 | nncf_module.bert.encoder.layer.4.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
31
+ | 79 | nncf_module.bert.encoder.layer.4.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
32
+ | 81 | nncf_module.bert.encoder.layer.4.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
33
+ | 85 | nncf_module.bert.encoder.layer.5.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
34
+ | 87 | nncf_module.bert.encoder.layer.5.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
35
+ | 89 | nncf_module.bert.encoder.layer.5.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
36
+ | 91 | nncf_module.bert.encoder.layer.5.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
37
+ | 95 | nncf_module.bert.encoder.layer.5.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
38
+ | 97 | nncf_module.bert.encoder.layer.5.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
39
+ | 101 | nncf_module.bert.encoder.layer.6.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
40
+ | 103 | nncf_module.bert.encoder.layer.6.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
41
+ | 105 | nncf_module.bert.encoder.layer.6.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
42
+ | 107 | nncf_module.bert.encoder.layer.6.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
43
+ | 111 | nncf_module.bert.encoder.layer.6.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
44
+ | 113 | nncf_module.bert.encoder.layer.6.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
45
+ | 117 | nncf_module.bert.encoder.layer.7.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
46
+ | 119 | nncf_module.bert.encoder.layer.7.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
47
+ | 121 | nncf_module.bert.encoder.layer.7.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
48
+ | 123 | nncf_module.bert.encoder.layer.7.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
49
+ | 127 | nncf_module.bert.encoder.layer.7.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
50
+ | 129 | nncf_module.bert.encoder.layer.7.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
51
+ | 133 | nncf_module.bert.encoder.layer.8.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
52
+ | 135 | nncf_module.bert.encoder.layer.8.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
53
+ | 137 | nncf_module.bert.encoder.layer.8.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
54
+ | 139 | nncf_module.bert.encoder.layer.8.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
55
+ | 143 | nncf_module.bert.encoder.layer.8.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
56
+ | 145 | nncf_module.bert.encoder.layer.8.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
57
+ | 149 | nncf_module.bert.encoder.layer.9.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
58
+ | 151 | nncf_module.bert.encoder.layer.9.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
59
+ | 153 | nncf_module.bert.encoder.layer.9.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
60
+ | 155 | nncf_module.bert.encoder.layer.9.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
61
+ | 159 | nncf_module.bert.encoder.layer.9.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
62
+ | 161 | nncf_module.bert.encoder.layer.9.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
63
+ | 165 | nncf_module.bert.encoder.layer.10.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
64
+ | 167 | nncf_module.bert.encoder.layer.10.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
65
+ | 169 | nncf_module.bert.encoder.layer.10.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
66
+ | 171 | nncf_module.bert.encoder.layer.10.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
67
+ | 175 | nncf_module.bert.encoder.layer.10.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
68
+ | 177 | nncf_module.bert.encoder.layer.10.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
69
+ | 181 | nncf_module.bert.encoder.layer.11.attention.self.query | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
70
+ | 183 | nncf_module.bert.encoder.layer.11.attention.self.key | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
71
+ | 185 | nncf_module.bert.encoder.layer.11.attention.self.value | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
72
+ | 187 | nncf_module.bert.encoder.layer.11.attention.output.dense | NNCFLinear | weight | [768, 768] | 589824 | 589824 | 0 |
73
+ | 191 | nncf_module.bert.encoder.layer.11.intermediate.dense | NNCFLinear | weight | [3072, 768] | 2359296 | 2359296 | 0 |
74
+ | 193 | nncf_module.bert.encoder.layer.11.output.dense | NNCFLinear | weight | [768, 3072] | 2359296 | 2359296 | 0 |
nncf_bert_squad_qat.json ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "input_info": [
3
+ {
4
+ "sample_size": [1, 384],
5
+ "type": "long"
6
+ },
7
+ {
8
+ "sample_size": [1, 384],
9
+ "type": "long"
10
+ },
11
+ {
12
+ "sample_size": [1, 384],
13
+ "type": "long"
14
+ }
15
+ ],
16
+ "compression": {
17
+ "algorithm": "quantization",
18
+ "initializer": {
19
+ "range": {
20
+ "num_init_samples": 32,
21
+ "type": "percentile",
22
+ "params":
23
+ {
24
+ "min_percentile": 0.01,
25
+ "max_percentile": 99.99
26
+ }
27
+ },
28
+
29
+ "batchnorm_adaptation": {
30
+ "num_bn_adaptation_samples": 200
31
+ }
32
+ },
33
+ "activations":
34
+ {
35
+ "mode": "symmetric"
36
+ },
37
+ "weights":
38
+ {
39
+ "mode": "symmetric",
40
+ "signed": true,
41
+ "per_channel": false
42
+ }
43
+ }
44
+ // "compression":
45
+ // [
46
+ // {
47
+ // "algorithm": "magnitude_sparsity",
48
+ // "sparsity_init": 0.1,
49
+ // "params": {
50
+ // "schedule": "multistep",
51
+ // "multistep_steps": [
52
+ // 2,
53
+ // 4,
54
+ // 6,
55
+ // 8,
56
+ // ],
57
+ // "multistep_sparsity_levels": [
58
+ // 0.1,
59
+ // 0.2,
60
+ // 0.3,
61
+ // 0.4,
62
+ // 0.5,
63
+ // ]
64
+ // },
65
+ // "ignored_scopes": ["{re}.*NNCFEmbedding", "{re}.*qa_outputs*"]
66
+ // },
67
+ // {
68
+ // "algorithm": "knowledge_distillation",
69
+ // "type": "softmax"
70
+ // }
71
+ // ],
72
+ // "compression": {
73
+ // "algorithm": "quantization",
74
+ // "initializer": {
75
+ // "range": {
76
+ // "num_init_samples": 32,
77
+ // "type": "percentile",
78
+ // "params":
79
+ // {
80
+ // "min_percentile": 0.01,
81
+ // "max_percentile": 99.99
82
+ // }
83
+ // },
84
+
85
+ // "batchnorm_adaptation": {
86
+ // "num_bn_adaptation_samples": 200
87
+ // }
88
+ // },
89
+ // "activations":
90
+ // {
91
+ // "mode": "symmetric"
92
+ // },
93
+ // "weights":
94
+ // {
95
+ // "mode": "symmetric",
96
+ // "signed": true,
97
+ // "per_channel": false
98
+ // }
99
+ // }
100
+ }
onnx_sparsity.csv ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ,layer_id,shape,nparam,nnz,sparsity
2
+ 0,Constant_15,"[30522, 768]",23440896,23440896,0.0
3
+ 1,Constant_23,"[2, 768]",1536,1536,0.0
4
+ 2,Constant_35,"[512, 768]",393216,393216,0.0
5
+ 3,Constant_61,"[768, 768]",589824,589824,0.0
6
+ 4,Constant_71,"[768, 768]",589824,589824,0.0
7
+ 5,Constant_91,"[768, 768]",589824,589824,0.0
8
+ 6,Constant_150,"[768, 768]",589824,589824,0.0
9
+ 7,Constant_178,"[3072, 768]",2359296,2359296,0.0
10
+ 8,Constant_196,"[768, 3072]",2359296,2359296,0.0
11
+ 9,Constant_224,"[768, 768]",589824,589824,0.0
12
+ 10,Constant_234,"[768, 768]",589824,589824,0.0
13
+ 11,Constant_254,"[768, 768]",589824,589824,0.0
14
+ 12,Constant_313,"[768, 768]",589824,589824,0.0
15
+ 13,Constant_341,"[3072, 768]",2359296,2359296,0.0
16
+ 14,Constant_359,"[768, 3072]",2359296,2359296,0.0
17
+ 15,Constant_387,"[768, 768]",589824,589824,0.0
18
+ 16,Constant_397,"[768, 768]",589824,589824,0.0
19
+ 17,Constant_417,"[768, 768]",589824,589824,0.0
20
+ 18,Constant_476,"[768, 768]",589824,589824,0.0
21
+ 19,Constant_504,"[3072, 768]",2359296,2359296,0.0
22
+ 20,Constant_522,"[768, 3072]",2359296,2359296,0.0
23
+ 21,Constant_550,"[768, 768]",589824,589824,0.0
24
+ 22,Constant_560,"[768, 768]",589824,589824,0.0
25
+ 23,Constant_580,"[768, 768]",589824,589824,0.0
26
+ 24,Constant_639,"[768, 768]",589824,589824,0.0
27
+ 25,Constant_667,"[3072, 768]",2359296,2359296,0.0
28
+ 26,Constant_685,"[768, 3072]",2359296,2359296,0.0
29
+ 27,Constant_713,"[768, 768]",589824,589824,0.0
30
+ 28,Constant_723,"[768, 768]",589824,589824,0.0
31
+ 29,Constant_743,"[768, 768]",589824,589824,0.0
32
+ 30,Constant_802,"[768, 768]",589824,589824,0.0
33
+ 31,Constant_830,"[3072, 768]",2359296,2359296,0.0
34
+ 32,Constant_848,"[768, 3072]",2359296,2359296,0.0
35
+ 33,Constant_876,"[768, 768]",589824,589824,0.0
36
+ 34,Constant_886,"[768, 768]",589824,589824,0.0
37
+ 35,Constant_906,"[768, 768]",589824,589824,0.0
38
+ 36,Constant_965,"[768, 768]",589824,589824,0.0
39
+ 37,Constant_993,"[3072, 768]",2359296,2359296,0.0
40
+ 38,Constant_1011,"[768, 3072]",2359296,2359296,0.0
41
+ 39,Constant_1039,"[768, 768]",589824,589824,0.0
42
+ 40,Constant_1049,"[768, 768]",589824,589824,0.0
43
+ 41,Constant_1069,"[768, 768]",589824,589824,0.0
44
+ 42,Constant_1128,"[768, 768]",589824,589824,0.0
45
+ 43,Constant_1156,"[3072, 768]",2359296,2359296,0.0
46
+ 44,Constant_1174,"[768, 3072]",2359296,2359296,0.0
47
+ 45,Constant_1202,"[768, 768]",589824,589824,0.0
48
+ 46,Constant_1212,"[768, 768]",589824,589824,0.0
49
+ 47,Constant_1232,"[768, 768]",589824,589824,0.0
50
+ 48,Constant_1291,"[768, 768]",589824,589824,0.0
51
+ 49,Constant_1319,"[3072, 768]",2359296,2359296,0.0
52
+ 50,Constant_1337,"[768, 3072]",2359296,2359296,0.0
53
+ 51,Constant_1365,"[768, 768]",589824,589824,0.0
54
+ 52,Constant_1375,"[768, 768]",589824,589824,0.0
55
+ 53,Constant_1395,"[768, 768]",589824,589824,0.0
56
+ 54,Constant_1454,"[768, 768]",589824,589824,0.0
57
+ 55,Constant_1482,"[3072, 768]",2359296,2359296,0.0
58
+ 56,Constant_1500,"[768, 3072]",2359296,2359296,0.0
59
+ 57,Constant_1528,"[768, 768]",589824,589824,0.0
60
+ 58,Constant_1538,"[768, 768]",589824,589824,0.0
61
+ 59,Constant_1558,"[768, 768]",589824,589824,0.0
62
+ 60,Constant_1617,"[768, 768]",589824,589824,0.0
63
+ 61,Constant_1645,"[3072, 768]",2359296,2359296,0.0
64
+ 62,Constant_1663,"[768, 3072]",2359296,2359296,0.0
65
+ 63,Constant_1691,"[768, 768]",589824,589824,0.0
66
+ 64,Constant_1701,"[768, 768]",589824,589824,0.0
67
+ 65,Constant_1721,"[768, 768]",589824,589824,0.0
68
+ 66,Constant_1780,"[768, 768]",589824,589824,0.0
69
+ 67,Constant_1808,"[3072, 768]",2359296,2359296,0.0
70
+ 68,Constant_1826,"[768, 3072]",2359296,2359296,0.0
71
+ 69,Constant_1854,"[768, 768]",589824,589824,0.0
72
+ 70,Constant_1864,"[768, 768]",589824,589824,0.0
73
+ 71,Constant_1884,"[768, 768]",589824,589824,0.0
74
+ 72,Constant_1943,"[768, 768]",589824,589824,0.0
75
+ 73,Constant_1971,"[3072, 768]",2359296,2359296,0.0
76
+ 74,Constant_1989,"[768, 3072]",2359296,2359296,0.0
77
+ 75,Constant_2017,"[2, 768]",1536,1536,0.0
onnx_sparsity.md ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ | | layer_id | shape | nparam | nnz | sparsity |
2
+ |---:|:--------------|:-------------|---------:|---------:|-----------:|
3
+ | 0 | Constant_15 | [30522, 768] | 23440896 | 23440896 | 0 |
4
+ | 1 | Constant_23 | [2, 768] | 1536 | 1536 | 0 |
5
+ | 2 | Constant_35 | [512, 768] | 393216 | 393216 | 0 |
6
+ | 3 | Constant_61 | [768, 768] | 589824 | 589824 | 0 |
7
+ | 4 | Constant_71 | [768, 768] | 589824 | 589824 | 0 |
8
+ | 5 | Constant_91 | [768, 768] | 589824 | 589824 | 0 |
9
+ | 6 | Constant_150 | [768, 768] | 589824 | 589824 | 0 |
10
+ | 7 | Constant_178 | [3072, 768] | 2359296 | 2359296 | 0 |
11
+ | 8 | Constant_196 | [768, 3072] | 2359296 | 2359296 | 0 |
12
+ | 9 | Constant_224 | [768, 768] | 589824 | 589824 | 0 |
13
+ | 10 | Constant_234 | [768, 768] | 589824 | 589824 | 0 |
14
+ | 11 | Constant_254 | [768, 768] | 589824 | 589824 | 0 |
15
+ | 12 | Constant_313 | [768, 768] | 589824 | 589824 | 0 |
16
+ | 13 | Constant_341 | [3072, 768] | 2359296 | 2359296 | 0 |
17
+ | 14 | Constant_359 | [768, 3072] | 2359296 | 2359296 | 0 |
18
+ | 15 | Constant_387 | [768, 768] | 589824 | 589824 | 0 |
19
+ | 16 | Constant_397 | [768, 768] | 589824 | 589824 | 0 |
20
+ | 17 | Constant_417 | [768, 768] | 589824 | 589824 | 0 |
21
+ | 18 | Constant_476 | [768, 768] | 589824 | 589824 | 0 |
22
+ | 19 | Constant_504 | [3072, 768] | 2359296 | 2359296 | 0 |
23
+ | 20 | Constant_522 | [768, 3072] | 2359296 | 2359296 | 0 |
24
+ | 21 | Constant_550 | [768, 768] | 589824 | 589824 | 0 |
25
+ | 22 | Constant_560 | [768, 768] | 589824 | 589824 | 0 |
26
+ | 23 | Constant_580 | [768, 768] | 589824 | 589824 | 0 |
27
+ | 24 | Constant_639 | [768, 768] | 589824 | 589824 | 0 |
28
+ | 25 | Constant_667 | [3072, 768] | 2359296 | 2359296 | 0 |
29
+ | 26 | Constant_685 | [768, 3072] | 2359296 | 2359296 | 0 |
30
+ | 27 | Constant_713 | [768, 768] | 589824 | 589824 | 0 |
31
+ | 28 | Constant_723 | [768, 768] | 589824 | 589824 | 0 |
32
+ | 29 | Constant_743 | [768, 768] | 589824 | 589824 | 0 |
33
+ | 30 | Constant_802 | [768, 768] | 589824 | 589824 | 0 |
34
+ | 31 | Constant_830 | [3072, 768] | 2359296 | 2359296 | 0 |
35
+ | 32 | Constant_848 | [768, 3072] | 2359296 | 2359296 | 0 |
36
+ | 33 | Constant_876 | [768, 768] | 589824 | 589824 | 0 |
37
+ | 34 | Constant_886 | [768, 768] | 589824 | 589824 | 0 |
38
+ | 35 | Constant_906 | [768, 768] | 589824 | 589824 | 0 |
39
+ | 36 | Constant_965 | [768, 768] | 589824 | 589824 | 0 |
40
+ | 37 | Constant_993 | [3072, 768] | 2359296 | 2359296 | 0 |
41
+ | 38 | Constant_1011 | [768, 3072] | 2359296 | 2359296 | 0 |
42
+ | 39 | Constant_1039 | [768, 768] | 589824 | 589824 | 0 |
43
+ | 40 | Constant_1049 | [768, 768] | 589824 | 589824 | 0 |
44
+ | 41 | Constant_1069 | [768, 768] | 589824 | 589824 | 0 |
45
+ | 42 | Constant_1128 | [768, 768] | 589824 | 589824 | 0 |
46
+ | 43 | Constant_1156 | [3072, 768] | 2359296 | 2359296 | 0 |
47
+ | 44 | Constant_1174 | [768, 3072] | 2359296 | 2359296 | 0 |
48
+ | 45 | Constant_1202 | [768, 768] | 589824 | 589824 | 0 |
49
+ | 46 | Constant_1212 | [768, 768] | 589824 | 589824 | 0 |
50
+ | 47 | Constant_1232 | [768, 768] | 589824 | 589824 | 0 |
51
+ | 48 | Constant_1291 | [768, 768] | 589824 | 589824 | 0 |
52
+ | 49 | Constant_1319 | [3072, 768] | 2359296 | 2359296 | 0 |
53
+ | 50 | Constant_1337 | [768, 3072] | 2359296 | 2359296 | 0 |
54
+ | 51 | Constant_1365 | [768, 768] | 589824 | 589824 | 0 |
55
+ | 52 | Constant_1375 | [768, 768] | 589824 | 589824 | 0 |
56
+ | 53 | Constant_1395 | [768, 768] | 589824 | 589824 | 0 |
57
+ | 54 | Constant_1454 | [768, 768] | 589824 | 589824 | 0 |
58
+ | 55 | Constant_1482 | [3072, 768] | 2359296 | 2359296 | 0 |
59
+ | 56 | Constant_1500 | [768, 3072] | 2359296 | 2359296 | 0 |
60
+ | 57 | Constant_1528 | [768, 768] | 589824 | 589824 | 0 |
61
+ | 58 | Constant_1538 | [768, 768] | 589824 | 589824 | 0 |
62
+ | 59 | Constant_1558 | [768, 768] | 589824 | 589824 | 0 |
63
+ | 60 | Constant_1617 | [768, 768] | 589824 | 589824 | 0 |
64
+ | 61 | Constant_1645 | [3072, 768] | 2359296 | 2359296 | 0 |
65
+ | 62 | Constant_1663 | [768, 3072] | 2359296 | 2359296 | 0 |
66
+ | 63 | Constant_1691 | [768, 768] | 589824 | 589824 | 0 |
67
+ | 64 | Constant_1701 | [768, 768] | 589824 | 589824 | 0 |
68
+ | 65 | Constant_1721 | [768, 768] | 589824 | 589824 | 0 |
69
+ | 66 | Constant_1780 | [768, 768] | 589824 | 589824 | 0 |
70
+ | 67 | Constant_1808 | [3072, 768] | 2359296 | 2359296 | 0 |
71
+ | 68 | Constant_1826 | [768, 3072] | 2359296 | 2359296 | 0 |
72
+ | 69 | Constant_1854 | [768, 768] | 589824 | 589824 | 0 |
73
+ | 70 | Constant_1864 | [768, 768] | 589824 | 589824 | 0 |
74
+ | 71 | Constant_1884 | [768, 768] | 589824 | 589824 | 0 |
75
+ | 72 | Constant_1943 | [768, 768] | 589824 | 589824 | 0 |
76
+ | 73 | Constant_1971 | [3072, 768] | 2359296 | 2359296 | 0 |
77
+ | 74 | Constant_1989 | [768, 3072] | 2359296 | 2359296 | 0 |
78
+ | 75 | Constant_2017 | [2, 768] | 1536 | 1536 | 0 |
original_graph.dot ADDED
The diff for this file is too large to render. See raw diff
 
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aaf4e924f95c9f6a4edee55468346f11438ef68a0aac5b9d1d09e3c3967c92dd
3
+ size 436136793
run.log ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a0de2a72cb9dd3651ead14b3b6b9c9cd38f53c5957d18665dc70c798cc9eef0c
3
+ size 35044760
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-uncased", "tokenizer_class": "BertTokenizer"}
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "train_loss": 1.3444817380644025,
4
+ "train_runtime": 13681.7322,
5
+ "train_samples": 88524,
6
+ "train_samples_per_second": 12.94,
7
+ "train_steps_per_second": 0.809
8
+ }
trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:88c4f4c68103459470bd9943769fb1824b4bb7a25a12428467224908f6718d4a
3
+ size 3119
vocab.txt ADDED
The diff for this file is too large to render. See raw diff