Defetya commited on
Commit
13c18cb
1 Parent(s): 5b1372f
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/kaggle/input/xl-roberta-facebook-weights-1-shard/XL_roberta_facebook",
3
+ "architectures": [
4
+ "XLMRobertaXLForMultipleChoice"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 0,
8
+ "classifier_dropout": null,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 2560,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 10240,
15
+ "layer_norm_eps": 1e-05,
16
+ "max_position_embeddings": 514,
17
+ "model_type": "xlm-roberta-xl",
18
+ "num_attention_heads": 32,
19
+ "num_hidden_layers": 36,
20
+ "pad_token_id": 1,
21
+ "position_embedding_type": "absolute",
22
+ "tokenizer_class": "XLMRobertaTokenizer",
23
+ "torch_dtype": "float16",
24
+ "transformers_version": "4.30.2",
25
+ "type_vocab_size": 1,
26
+ "use_cache": true,
27
+ "vocab_size": 250880
28
+ }
pytorch_model-00001-of-00002.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f0e4a31d234467e537e397718658523e1b46d4803777b72b6ea7da81467b5cb6
3
+ size 5326024691
pytorch_model-00002-of-00002.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:833286d83cb0a4a6de6ea32842e6e9372caa021882e93e0973a275956e66f602
3
+ size 1639160009
pytorch_model.bin.index.json ADDED
@@ -0,0 +1,593 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 6964980754
4
+ },
5
+ "weight_map": {
6
+ "classifier.bias": "pytorch_model-00002-of-00002.bin",
7
+ "classifier.weight": "pytorch_model-00002-of-00002.bin",
8
+ "roberta.embeddings.position_embeddings.weight": "pytorch_model-00001-of-00002.bin",
9
+ "roberta.embeddings.position_ids": "pytorch_model-00001-of-00002.bin",
10
+ "roberta.embeddings.token_type_embeddings.weight": "pytorch_model-00001-of-00002.bin",
11
+ "roberta.embeddings.word_embeddings.weight": "pytorch_model-00001-of-00002.bin",
12
+ "roberta.encoder.LayerNorm.bias": "pytorch_model-00002-of-00002.bin",
13
+ "roberta.encoder.LayerNorm.weight": "pytorch_model-00002-of-00002.bin",
14
+ "roberta.encoder.layer.0.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
15
+ "roberta.encoder.layer.0.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
16
+ "roberta.encoder.layer.0.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
17
+ "roberta.encoder.layer.0.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
18
+ "roberta.encoder.layer.0.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
19
+ "roberta.encoder.layer.0.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
20
+ "roberta.encoder.layer.0.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
21
+ "roberta.encoder.layer.0.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
22
+ "roberta.encoder.layer.0.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
23
+ "roberta.encoder.layer.0.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
24
+ "roberta.encoder.layer.0.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
25
+ "roberta.encoder.layer.0.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
26
+ "roberta.encoder.layer.0.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
27
+ "roberta.encoder.layer.0.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
28
+ "roberta.encoder.layer.0.output.dense.bias": "pytorch_model-00001-of-00002.bin",
29
+ "roberta.encoder.layer.0.output.dense.weight": "pytorch_model-00001-of-00002.bin",
30
+ "roberta.encoder.layer.1.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
31
+ "roberta.encoder.layer.1.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
32
+ "roberta.encoder.layer.1.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
33
+ "roberta.encoder.layer.1.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
34
+ "roberta.encoder.layer.1.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
35
+ "roberta.encoder.layer.1.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
36
+ "roberta.encoder.layer.1.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
37
+ "roberta.encoder.layer.1.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
38
+ "roberta.encoder.layer.1.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
39
+ "roberta.encoder.layer.1.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
40
+ "roberta.encoder.layer.1.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
41
+ "roberta.encoder.layer.1.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
42
+ "roberta.encoder.layer.1.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
43
+ "roberta.encoder.layer.1.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
44
+ "roberta.encoder.layer.1.output.dense.bias": "pytorch_model-00001-of-00002.bin",
45
+ "roberta.encoder.layer.1.output.dense.weight": "pytorch_model-00001-of-00002.bin",
46
+ "roberta.encoder.layer.10.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
47
+ "roberta.encoder.layer.10.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
48
+ "roberta.encoder.layer.10.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
49
+ "roberta.encoder.layer.10.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
50
+ "roberta.encoder.layer.10.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
51
+ "roberta.encoder.layer.10.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
52
+ "roberta.encoder.layer.10.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
53
+ "roberta.encoder.layer.10.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
54
+ "roberta.encoder.layer.10.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
55
+ "roberta.encoder.layer.10.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
56
+ "roberta.encoder.layer.10.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
57
+ "roberta.encoder.layer.10.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
58
+ "roberta.encoder.layer.10.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
59
+ "roberta.encoder.layer.10.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
60
+ "roberta.encoder.layer.10.output.dense.bias": "pytorch_model-00001-of-00002.bin",
61
+ "roberta.encoder.layer.10.output.dense.weight": "pytorch_model-00001-of-00002.bin",
62
+ "roberta.encoder.layer.11.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
63
+ "roberta.encoder.layer.11.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
64
+ "roberta.encoder.layer.11.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
65
+ "roberta.encoder.layer.11.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
66
+ "roberta.encoder.layer.11.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
67
+ "roberta.encoder.layer.11.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
68
+ "roberta.encoder.layer.11.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
69
+ "roberta.encoder.layer.11.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
70
+ "roberta.encoder.layer.11.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
71
+ "roberta.encoder.layer.11.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
72
+ "roberta.encoder.layer.11.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
73
+ "roberta.encoder.layer.11.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
74
+ "roberta.encoder.layer.11.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
75
+ "roberta.encoder.layer.11.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
76
+ "roberta.encoder.layer.11.output.dense.bias": "pytorch_model-00001-of-00002.bin",
77
+ "roberta.encoder.layer.11.output.dense.weight": "pytorch_model-00001-of-00002.bin",
78
+ "roberta.encoder.layer.12.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
79
+ "roberta.encoder.layer.12.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
80
+ "roberta.encoder.layer.12.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
81
+ "roberta.encoder.layer.12.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
82
+ "roberta.encoder.layer.12.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
83
+ "roberta.encoder.layer.12.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
84
+ "roberta.encoder.layer.12.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
85
+ "roberta.encoder.layer.12.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
86
+ "roberta.encoder.layer.12.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
87
+ "roberta.encoder.layer.12.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
88
+ "roberta.encoder.layer.12.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
89
+ "roberta.encoder.layer.12.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
90
+ "roberta.encoder.layer.12.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
91
+ "roberta.encoder.layer.12.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
92
+ "roberta.encoder.layer.12.output.dense.bias": "pytorch_model-00001-of-00002.bin",
93
+ "roberta.encoder.layer.12.output.dense.weight": "pytorch_model-00001-of-00002.bin",
94
+ "roberta.encoder.layer.13.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
95
+ "roberta.encoder.layer.13.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
96
+ "roberta.encoder.layer.13.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
97
+ "roberta.encoder.layer.13.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
98
+ "roberta.encoder.layer.13.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
99
+ "roberta.encoder.layer.13.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
100
+ "roberta.encoder.layer.13.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
101
+ "roberta.encoder.layer.13.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
102
+ "roberta.encoder.layer.13.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
103
+ "roberta.encoder.layer.13.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
104
+ "roberta.encoder.layer.13.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
105
+ "roberta.encoder.layer.13.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
106
+ "roberta.encoder.layer.13.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
107
+ "roberta.encoder.layer.13.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
108
+ "roberta.encoder.layer.13.output.dense.bias": "pytorch_model-00001-of-00002.bin",
109
+ "roberta.encoder.layer.13.output.dense.weight": "pytorch_model-00001-of-00002.bin",
110
+ "roberta.encoder.layer.14.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
111
+ "roberta.encoder.layer.14.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
112
+ "roberta.encoder.layer.14.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
113
+ "roberta.encoder.layer.14.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
114
+ "roberta.encoder.layer.14.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
115
+ "roberta.encoder.layer.14.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
116
+ "roberta.encoder.layer.14.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
117
+ "roberta.encoder.layer.14.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
118
+ "roberta.encoder.layer.14.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
119
+ "roberta.encoder.layer.14.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
120
+ "roberta.encoder.layer.14.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
121
+ "roberta.encoder.layer.14.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
122
+ "roberta.encoder.layer.14.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
123
+ "roberta.encoder.layer.14.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
124
+ "roberta.encoder.layer.14.output.dense.bias": "pytorch_model-00001-of-00002.bin",
125
+ "roberta.encoder.layer.14.output.dense.weight": "pytorch_model-00001-of-00002.bin",
126
+ "roberta.encoder.layer.15.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
127
+ "roberta.encoder.layer.15.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
128
+ "roberta.encoder.layer.15.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
129
+ "roberta.encoder.layer.15.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
130
+ "roberta.encoder.layer.15.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
131
+ "roberta.encoder.layer.15.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
132
+ "roberta.encoder.layer.15.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
133
+ "roberta.encoder.layer.15.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
134
+ "roberta.encoder.layer.15.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
135
+ "roberta.encoder.layer.15.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
136
+ "roberta.encoder.layer.15.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
137
+ "roberta.encoder.layer.15.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
138
+ "roberta.encoder.layer.15.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
139
+ "roberta.encoder.layer.15.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
140
+ "roberta.encoder.layer.15.output.dense.bias": "pytorch_model-00001-of-00002.bin",
141
+ "roberta.encoder.layer.15.output.dense.weight": "pytorch_model-00001-of-00002.bin",
142
+ "roberta.encoder.layer.16.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
143
+ "roberta.encoder.layer.16.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
144
+ "roberta.encoder.layer.16.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
145
+ "roberta.encoder.layer.16.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
146
+ "roberta.encoder.layer.16.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
147
+ "roberta.encoder.layer.16.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
148
+ "roberta.encoder.layer.16.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
149
+ "roberta.encoder.layer.16.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
150
+ "roberta.encoder.layer.16.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
151
+ "roberta.encoder.layer.16.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
152
+ "roberta.encoder.layer.16.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
153
+ "roberta.encoder.layer.16.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
154
+ "roberta.encoder.layer.16.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
155
+ "roberta.encoder.layer.16.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
156
+ "roberta.encoder.layer.16.output.dense.bias": "pytorch_model-00001-of-00002.bin",
157
+ "roberta.encoder.layer.16.output.dense.weight": "pytorch_model-00001-of-00002.bin",
158
+ "roberta.encoder.layer.17.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
159
+ "roberta.encoder.layer.17.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
160
+ "roberta.encoder.layer.17.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
161
+ "roberta.encoder.layer.17.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
162
+ "roberta.encoder.layer.17.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
163
+ "roberta.encoder.layer.17.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
164
+ "roberta.encoder.layer.17.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
165
+ "roberta.encoder.layer.17.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
166
+ "roberta.encoder.layer.17.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
167
+ "roberta.encoder.layer.17.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
168
+ "roberta.encoder.layer.17.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
169
+ "roberta.encoder.layer.17.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
170
+ "roberta.encoder.layer.17.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
171
+ "roberta.encoder.layer.17.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
172
+ "roberta.encoder.layer.17.output.dense.bias": "pytorch_model-00001-of-00002.bin",
173
+ "roberta.encoder.layer.17.output.dense.weight": "pytorch_model-00001-of-00002.bin",
174
+ "roberta.encoder.layer.18.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
175
+ "roberta.encoder.layer.18.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
176
+ "roberta.encoder.layer.18.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
177
+ "roberta.encoder.layer.18.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
178
+ "roberta.encoder.layer.18.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
179
+ "roberta.encoder.layer.18.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
180
+ "roberta.encoder.layer.18.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
181
+ "roberta.encoder.layer.18.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
182
+ "roberta.encoder.layer.18.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
183
+ "roberta.encoder.layer.18.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
184
+ "roberta.encoder.layer.18.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
185
+ "roberta.encoder.layer.18.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
186
+ "roberta.encoder.layer.18.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
187
+ "roberta.encoder.layer.18.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
188
+ "roberta.encoder.layer.18.output.dense.bias": "pytorch_model-00001-of-00002.bin",
189
+ "roberta.encoder.layer.18.output.dense.weight": "pytorch_model-00001-of-00002.bin",
190
+ "roberta.encoder.layer.19.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
191
+ "roberta.encoder.layer.19.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
192
+ "roberta.encoder.layer.19.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
193
+ "roberta.encoder.layer.19.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
194
+ "roberta.encoder.layer.19.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
195
+ "roberta.encoder.layer.19.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
196
+ "roberta.encoder.layer.19.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
197
+ "roberta.encoder.layer.19.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
198
+ "roberta.encoder.layer.19.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
199
+ "roberta.encoder.layer.19.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
200
+ "roberta.encoder.layer.19.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
201
+ "roberta.encoder.layer.19.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
202
+ "roberta.encoder.layer.19.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
203
+ "roberta.encoder.layer.19.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
204
+ "roberta.encoder.layer.19.output.dense.bias": "pytorch_model-00001-of-00002.bin",
205
+ "roberta.encoder.layer.19.output.dense.weight": "pytorch_model-00001-of-00002.bin",
206
+ "roberta.encoder.layer.2.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
207
+ "roberta.encoder.layer.2.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
208
+ "roberta.encoder.layer.2.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
209
+ "roberta.encoder.layer.2.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
210
+ "roberta.encoder.layer.2.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
211
+ "roberta.encoder.layer.2.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
212
+ "roberta.encoder.layer.2.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
213
+ "roberta.encoder.layer.2.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
214
+ "roberta.encoder.layer.2.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
215
+ "roberta.encoder.layer.2.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
216
+ "roberta.encoder.layer.2.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
217
+ "roberta.encoder.layer.2.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
218
+ "roberta.encoder.layer.2.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
219
+ "roberta.encoder.layer.2.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
220
+ "roberta.encoder.layer.2.output.dense.bias": "pytorch_model-00001-of-00002.bin",
221
+ "roberta.encoder.layer.2.output.dense.weight": "pytorch_model-00001-of-00002.bin",
222
+ "roberta.encoder.layer.20.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
223
+ "roberta.encoder.layer.20.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
224
+ "roberta.encoder.layer.20.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
225
+ "roberta.encoder.layer.20.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
226
+ "roberta.encoder.layer.20.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
227
+ "roberta.encoder.layer.20.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
228
+ "roberta.encoder.layer.20.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
229
+ "roberta.encoder.layer.20.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
230
+ "roberta.encoder.layer.20.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
231
+ "roberta.encoder.layer.20.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
232
+ "roberta.encoder.layer.20.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
233
+ "roberta.encoder.layer.20.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
234
+ "roberta.encoder.layer.20.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
235
+ "roberta.encoder.layer.20.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
236
+ "roberta.encoder.layer.20.output.dense.bias": "pytorch_model-00001-of-00002.bin",
237
+ "roberta.encoder.layer.20.output.dense.weight": "pytorch_model-00001-of-00002.bin",
238
+ "roberta.encoder.layer.21.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
239
+ "roberta.encoder.layer.21.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
240
+ "roberta.encoder.layer.21.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
241
+ "roberta.encoder.layer.21.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
242
+ "roberta.encoder.layer.21.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
243
+ "roberta.encoder.layer.21.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
244
+ "roberta.encoder.layer.21.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
245
+ "roberta.encoder.layer.21.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
246
+ "roberta.encoder.layer.21.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
247
+ "roberta.encoder.layer.21.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
248
+ "roberta.encoder.layer.21.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
249
+ "roberta.encoder.layer.21.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
250
+ "roberta.encoder.layer.21.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
251
+ "roberta.encoder.layer.21.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
252
+ "roberta.encoder.layer.21.output.dense.bias": "pytorch_model-00001-of-00002.bin",
253
+ "roberta.encoder.layer.21.output.dense.weight": "pytorch_model-00001-of-00002.bin",
254
+ "roberta.encoder.layer.22.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
255
+ "roberta.encoder.layer.22.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
256
+ "roberta.encoder.layer.22.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
257
+ "roberta.encoder.layer.22.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
258
+ "roberta.encoder.layer.22.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
259
+ "roberta.encoder.layer.22.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
260
+ "roberta.encoder.layer.22.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
261
+ "roberta.encoder.layer.22.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
262
+ "roberta.encoder.layer.22.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
263
+ "roberta.encoder.layer.22.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
264
+ "roberta.encoder.layer.22.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
265
+ "roberta.encoder.layer.22.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
266
+ "roberta.encoder.layer.22.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
267
+ "roberta.encoder.layer.22.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
268
+ "roberta.encoder.layer.22.output.dense.bias": "pytorch_model-00001-of-00002.bin",
269
+ "roberta.encoder.layer.22.output.dense.weight": "pytorch_model-00001-of-00002.bin",
270
+ "roberta.encoder.layer.23.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
271
+ "roberta.encoder.layer.23.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
272
+ "roberta.encoder.layer.23.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
273
+ "roberta.encoder.layer.23.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
274
+ "roberta.encoder.layer.23.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
275
+ "roberta.encoder.layer.23.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
276
+ "roberta.encoder.layer.23.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
277
+ "roberta.encoder.layer.23.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
278
+ "roberta.encoder.layer.23.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
279
+ "roberta.encoder.layer.23.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
280
+ "roberta.encoder.layer.23.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
281
+ "roberta.encoder.layer.23.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
282
+ "roberta.encoder.layer.23.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
283
+ "roberta.encoder.layer.23.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
284
+ "roberta.encoder.layer.23.output.dense.bias": "pytorch_model-00001-of-00002.bin",
285
+ "roberta.encoder.layer.23.output.dense.weight": "pytorch_model-00001-of-00002.bin",
286
+ "roberta.encoder.layer.24.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
287
+ "roberta.encoder.layer.24.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
288
+ "roberta.encoder.layer.24.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
289
+ "roberta.encoder.layer.24.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
290
+ "roberta.encoder.layer.24.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
291
+ "roberta.encoder.layer.24.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
292
+ "roberta.encoder.layer.24.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
293
+ "roberta.encoder.layer.24.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
294
+ "roberta.encoder.layer.24.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
295
+ "roberta.encoder.layer.24.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
296
+ "roberta.encoder.layer.24.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
297
+ "roberta.encoder.layer.24.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
298
+ "roberta.encoder.layer.24.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
299
+ "roberta.encoder.layer.24.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
300
+ "roberta.encoder.layer.24.output.dense.bias": "pytorch_model-00001-of-00002.bin",
301
+ "roberta.encoder.layer.24.output.dense.weight": "pytorch_model-00001-of-00002.bin",
302
+ "roberta.encoder.layer.25.LayerNorm.bias": "pytorch_model-00002-of-00002.bin",
303
+ "roberta.encoder.layer.25.LayerNorm.weight": "pytorch_model-00002-of-00002.bin",
304
+ "roberta.encoder.layer.25.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
305
+ "roberta.encoder.layer.25.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
306
+ "roberta.encoder.layer.25.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
307
+ "roberta.encoder.layer.25.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
308
+ "roberta.encoder.layer.25.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
309
+ "roberta.encoder.layer.25.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
310
+ "roberta.encoder.layer.25.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
311
+ "roberta.encoder.layer.25.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
312
+ "roberta.encoder.layer.25.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
313
+ "roberta.encoder.layer.25.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
314
+ "roberta.encoder.layer.25.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
315
+ "roberta.encoder.layer.25.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
316
+ "roberta.encoder.layer.25.output.dense.bias": "pytorch_model-00002-of-00002.bin",
317
+ "roberta.encoder.layer.25.output.dense.weight": "pytorch_model-00002-of-00002.bin",
318
+ "roberta.encoder.layer.26.LayerNorm.bias": "pytorch_model-00002-of-00002.bin",
319
+ "roberta.encoder.layer.26.LayerNorm.weight": "pytorch_model-00002-of-00002.bin",
320
+ "roberta.encoder.layer.26.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
321
+ "roberta.encoder.layer.26.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
322
+ "roberta.encoder.layer.26.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
323
+ "roberta.encoder.layer.26.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
324
+ "roberta.encoder.layer.26.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
325
+ "roberta.encoder.layer.26.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
326
+ "roberta.encoder.layer.26.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
327
+ "roberta.encoder.layer.26.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
328
+ "roberta.encoder.layer.26.attention.self_attn_layer_norm.bias": "pytorch_model-00002-of-00002.bin",
329
+ "roberta.encoder.layer.26.attention.self_attn_layer_norm.weight": "pytorch_model-00002-of-00002.bin",
330
+ "roberta.encoder.layer.26.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
331
+ "roberta.encoder.layer.26.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
332
+ "roberta.encoder.layer.26.output.dense.bias": "pytorch_model-00002-of-00002.bin",
333
+ "roberta.encoder.layer.26.output.dense.weight": "pytorch_model-00002-of-00002.bin",
334
+ "roberta.encoder.layer.27.LayerNorm.bias": "pytorch_model-00002-of-00002.bin",
335
+ "roberta.encoder.layer.27.LayerNorm.weight": "pytorch_model-00002-of-00002.bin",
336
+ "roberta.encoder.layer.27.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
337
+ "roberta.encoder.layer.27.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
338
+ "roberta.encoder.layer.27.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
339
+ "roberta.encoder.layer.27.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
340
+ "roberta.encoder.layer.27.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
341
+ "roberta.encoder.layer.27.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
342
+ "roberta.encoder.layer.27.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
343
+ "roberta.encoder.layer.27.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
344
+ "roberta.encoder.layer.27.attention.self_attn_layer_norm.bias": "pytorch_model-00002-of-00002.bin",
345
+ "roberta.encoder.layer.27.attention.self_attn_layer_norm.weight": "pytorch_model-00002-of-00002.bin",
346
+ "roberta.encoder.layer.27.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
347
+ "roberta.encoder.layer.27.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
348
+ "roberta.encoder.layer.27.output.dense.bias": "pytorch_model-00002-of-00002.bin",
349
+ "roberta.encoder.layer.27.output.dense.weight": "pytorch_model-00002-of-00002.bin",
350
+ "roberta.encoder.layer.28.LayerNorm.bias": "pytorch_model-00002-of-00002.bin",
351
+ "roberta.encoder.layer.28.LayerNorm.weight": "pytorch_model-00002-of-00002.bin",
352
+ "roberta.encoder.layer.28.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
353
+ "roberta.encoder.layer.28.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
354
+ "roberta.encoder.layer.28.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
355
+ "roberta.encoder.layer.28.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
356
+ "roberta.encoder.layer.28.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
357
+ "roberta.encoder.layer.28.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
358
+ "roberta.encoder.layer.28.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
359
+ "roberta.encoder.layer.28.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
360
+ "roberta.encoder.layer.28.attention.self_attn_layer_norm.bias": "pytorch_model-00002-of-00002.bin",
361
+ "roberta.encoder.layer.28.attention.self_attn_layer_norm.weight": "pytorch_model-00002-of-00002.bin",
362
+ "roberta.encoder.layer.28.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
363
+ "roberta.encoder.layer.28.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
364
+ "roberta.encoder.layer.28.output.dense.bias": "pytorch_model-00002-of-00002.bin",
365
+ "roberta.encoder.layer.28.output.dense.weight": "pytorch_model-00002-of-00002.bin",
366
+ "roberta.encoder.layer.29.LayerNorm.bias": "pytorch_model-00002-of-00002.bin",
367
+ "roberta.encoder.layer.29.LayerNorm.weight": "pytorch_model-00002-of-00002.bin",
368
+ "roberta.encoder.layer.29.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
369
+ "roberta.encoder.layer.29.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
370
+ "roberta.encoder.layer.29.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
371
+ "roberta.encoder.layer.29.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
372
+ "roberta.encoder.layer.29.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
373
+ "roberta.encoder.layer.29.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
374
+ "roberta.encoder.layer.29.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
375
+ "roberta.encoder.layer.29.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
376
+ "roberta.encoder.layer.29.attention.self_attn_layer_norm.bias": "pytorch_model-00002-of-00002.bin",
377
+ "roberta.encoder.layer.29.attention.self_attn_layer_norm.weight": "pytorch_model-00002-of-00002.bin",
378
+ "roberta.encoder.layer.29.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
379
+ "roberta.encoder.layer.29.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
380
+ "roberta.encoder.layer.29.output.dense.bias": "pytorch_model-00002-of-00002.bin",
381
+ "roberta.encoder.layer.29.output.dense.weight": "pytorch_model-00002-of-00002.bin",
382
+ "roberta.encoder.layer.3.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
383
+ "roberta.encoder.layer.3.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
384
+ "roberta.encoder.layer.3.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
385
+ "roberta.encoder.layer.3.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
386
+ "roberta.encoder.layer.3.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
387
+ "roberta.encoder.layer.3.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
388
+ "roberta.encoder.layer.3.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
389
+ "roberta.encoder.layer.3.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
390
+ "roberta.encoder.layer.3.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
391
+ "roberta.encoder.layer.3.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
392
+ "roberta.encoder.layer.3.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
393
+ "roberta.encoder.layer.3.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
394
+ "roberta.encoder.layer.3.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
395
+ "roberta.encoder.layer.3.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
396
+ "roberta.encoder.layer.3.output.dense.bias": "pytorch_model-00001-of-00002.bin",
397
+ "roberta.encoder.layer.3.output.dense.weight": "pytorch_model-00001-of-00002.bin",
398
+ "roberta.encoder.layer.30.LayerNorm.bias": "pytorch_model-00002-of-00002.bin",
399
+ "roberta.encoder.layer.30.LayerNorm.weight": "pytorch_model-00002-of-00002.bin",
400
+ "roberta.encoder.layer.30.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
401
+ "roberta.encoder.layer.30.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
402
+ "roberta.encoder.layer.30.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
403
+ "roberta.encoder.layer.30.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
404
+ "roberta.encoder.layer.30.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
405
+ "roberta.encoder.layer.30.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
406
+ "roberta.encoder.layer.30.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
407
+ "roberta.encoder.layer.30.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
408
+ "roberta.encoder.layer.30.attention.self_attn_layer_norm.bias": "pytorch_model-00002-of-00002.bin",
409
+ "roberta.encoder.layer.30.attention.self_attn_layer_norm.weight": "pytorch_model-00002-of-00002.bin",
410
+ "roberta.encoder.layer.30.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
411
+ "roberta.encoder.layer.30.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
412
+ "roberta.encoder.layer.30.output.dense.bias": "pytorch_model-00002-of-00002.bin",
413
+ "roberta.encoder.layer.30.output.dense.weight": "pytorch_model-00002-of-00002.bin",
414
+ "roberta.encoder.layer.31.LayerNorm.bias": "pytorch_model-00002-of-00002.bin",
415
+ "roberta.encoder.layer.31.LayerNorm.weight": "pytorch_model-00002-of-00002.bin",
416
+ "roberta.encoder.layer.31.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
417
+ "roberta.encoder.layer.31.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
418
+ "roberta.encoder.layer.31.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
419
+ "roberta.encoder.layer.31.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
420
+ "roberta.encoder.layer.31.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
421
+ "roberta.encoder.layer.31.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
422
+ "roberta.encoder.layer.31.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
423
+ "roberta.encoder.layer.31.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
424
+ "roberta.encoder.layer.31.attention.self_attn_layer_norm.bias": "pytorch_model-00002-of-00002.bin",
425
+ "roberta.encoder.layer.31.attention.self_attn_layer_norm.weight": "pytorch_model-00002-of-00002.bin",
426
+ "roberta.encoder.layer.31.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
427
+ "roberta.encoder.layer.31.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
428
+ "roberta.encoder.layer.31.output.dense.bias": "pytorch_model-00002-of-00002.bin",
429
+ "roberta.encoder.layer.31.output.dense.weight": "pytorch_model-00002-of-00002.bin",
430
+ "roberta.encoder.layer.32.LayerNorm.bias": "pytorch_model-00002-of-00002.bin",
431
+ "roberta.encoder.layer.32.LayerNorm.weight": "pytorch_model-00002-of-00002.bin",
432
+ "roberta.encoder.layer.32.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
433
+ "roberta.encoder.layer.32.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
434
+ "roberta.encoder.layer.32.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
435
+ "roberta.encoder.layer.32.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
436
+ "roberta.encoder.layer.32.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
437
+ "roberta.encoder.layer.32.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
438
+ "roberta.encoder.layer.32.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
439
+ "roberta.encoder.layer.32.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
440
+ "roberta.encoder.layer.32.attention.self_attn_layer_norm.bias": "pytorch_model-00002-of-00002.bin",
441
+ "roberta.encoder.layer.32.attention.self_attn_layer_norm.weight": "pytorch_model-00002-of-00002.bin",
442
+ "roberta.encoder.layer.32.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
443
+ "roberta.encoder.layer.32.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
444
+ "roberta.encoder.layer.32.output.dense.bias": "pytorch_model-00002-of-00002.bin",
445
+ "roberta.encoder.layer.32.output.dense.weight": "pytorch_model-00002-of-00002.bin",
446
+ "roberta.encoder.layer.33.LayerNorm.bias": "pytorch_model-00002-of-00002.bin",
447
+ "roberta.encoder.layer.33.LayerNorm.weight": "pytorch_model-00002-of-00002.bin",
448
+ "roberta.encoder.layer.33.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
449
+ "roberta.encoder.layer.33.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
450
+ "roberta.encoder.layer.33.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
451
+ "roberta.encoder.layer.33.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
452
+ "roberta.encoder.layer.33.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
453
+ "roberta.encoder.layer.33.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
454
+ "roberta.encoder.layer.33.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
455
+ "roberta.encoder.layer.33.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
456
+ "roberta.encoder.layer.33.attention.self_attn_layer_norm.bias": "pytorch_model-00002-of-00002.bin",
457
+ "roberta.encoder.layer.33.attention.self_attn_layer_norm.weight": "pytorch_model-00002-of-00002.bin",
458
+ "roberta.encoder.layer.33.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
459
+ "roberta.encoder.layer.33.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
460
+ "roberta.encoder.layer.33.output.dense.bias": "pytorch_model-00002-of-00002.bin",
461
+ "roberta.encoder.layer.33.output.dense.weight": "pytorch_model-00002-of-00002.bin",
462
+ "roberta.encoder.layer.34.LayerNorm.bias": "pytorch_model-00002-of-00002.bin",
463
+ "roberta.encoder.layer.34.LayerNorm.weight": "pytorch_model-00002-of-00002.bin",
464
+ "roberta.encoder.layer.34.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
465
+ "roberta.encoder.layer.34.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
466
+ "roberta.encoder.layer.34.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
467
+ "roberta.encoder.layer.34.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
468
+ "roberta.encoder.layer.34.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
469
+ "roberta.encoder.layer.34.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
470
+ "roberta.encoder.layer.34.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
471
+ "roberta.encoder.layer.34.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
472
+ "roberta.encoder.layer.34.attention.self_attn_layer_norm.bias": "pytorch_model-00002-of-00002.bin",
473
+ "roberta.encoder.layer.34.attention.self_attn_layer_norm.weight": "pytorch_model-00002-of-00002.bin",
474
+ "roberta.encoder.layer.34.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
475
+ "roberta.encoder.layer.34.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
476
+ "roberta.encoder.layer.34.output.dense.bias": "pytorch_model-00002-of-00002.bin",
477
+ "roberta.encoder.layer.34.output.dense.weight": "pytorch_model-00002-of-00002.bin",
478
+ "roberta.encoder.layer.35.LayerNorm.bias": "pytorch_model-00002-of-00002.bin",
479
+ "roberta.encoder.layer.35.LayerNorm.weight": "pytorch_model-00002-of-00002.bin",
480
+ "roberta.encoder.layer.35.attention.output.dense.bias": "pytorch_model-00002-of-00002.bin",
481
+ "roberta.encoder.layer.35.attention.output.dense.weight": "pytorch_model-00002-of-00002.bin",
482
+ "roberta.encoder.layer.35.attention.self.key.bias": "pytorch_model-00002-of-00002.bin",
483
+ "roberta.encoder.layer.35.attention.self.key.weight": "pytorch_model-00002-of-00002.bin",
484
+ "roberta.encoder.layer.35.attention.self.query.bias": "pytorch_model-00002-of-00002.bin",
485
+ "roberta.encoder.layer.35.attention.self.query.weight": "pytorch_model-00002-of-00002.bin",
486
+ "roberta.encoder.layer.35.attention.self.value.bias": "pytorch_model-00002-of-00002.bin",
487
+ "roberta.encoder.layer.35.attention.self.value.weight": "pytorch_model-00002-of-00002.bin",
488
+ "roberta.encoder.layer.35.attention.self_attn_layer_norm.bias": "pytorch_model-00002-of-00002.bin",
489
+ "roberta.encoder.layer.35.attention.self_attn_layer_norm.weight": "pytorch_model-00002-of-00002.bin",
490
+ "roberta.encoder.layer.35.intermediate.dense.bias": "pytorch_model-00002-of-00002.bin",
491
+ "roberta.encoder.layer.35.intermediate.dense.weight": "pytorch_model-00002-of-00002.bin",
492
+ "roberta.encoder.layer.35.output.dense.bias": "pytorch_model-00002-of-00002.bin",
493
+ "roberta.encoder.layer.35.output.dense.weight": "pytorch_model-00002-of-00002.bin",
494
+ "roberta.encoder.layer.4.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
495
+ "roberta.encoder.layer.4.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
496
+ "roberta.encoder.layer.4.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
497
+ "roberta.encoder.layer.4.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
498
+ "roberta.encoder.layer.4.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
499
+ "roberta.encoder.layer.4.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
500
+ "roberta.encoder.layer.4.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
501
+ "roberta.encoder.layer.4.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
502
+ "roberta.encoder.layer.4.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
503
+ "roberta.encoder.layer.4.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
504
+ "roberta.encoder.layer.4.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
505
+ "roberta.encoder.layer.4.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
506
+ "roberta.encoder.layer.4.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
507
+ "roberta.encoder.layer.4.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
508
+ "roberta.encoder.layer.4.output.dense.bias": "pytorch_model-00001-of-00002.bin",
509
+ "roberta.encoder.layer.4.output.dense.weight": "pytorch_model-00001-of-00002.bin",
510
+ "roberta.encoder.layer.5.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
511
+ "roberta.encoder.layer.5.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
512
+ "roberta.encoder.layer.5.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
513
+ "roberta.encoder.layer.5.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
514
+ "roberta.encoder.layer.5.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
515
+ "roberta.encoder.layer.5.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
516
+ "roberta.encoder.layer.5.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
517
+ "roberta.encoder.layer.5.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
518
+ "roberta.encoder.layer.5.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
519
+ "roberta.encoder.layer.5.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
520
+ "roberta.encoder.layer.5.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
521
+ "roberta.encoder.layer.5.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
522
+ "roberta.encoder.layer.5.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
523
+ "roberta.encoder.layer.5.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
524
+ "roberta.encoder.layer.5.output.dense.bias": "pytorch_model-00001-of-00002.bin",
525
+ "roberta.encoder.layer.5.output.dense.weight": "pytorch_model-00001-of-00002.bin",
526
+ "roberta.encoder.layer.6.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
527
+ "roberta.encoder.layer.6.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
528
+ "roberta.encoder.layer.6.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
529
+ "roberta.encoder.layer.6.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
530
+ "roberta.encoder.layer.6.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
531
+ "roberta.encoder.layer.6.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
532
+ "roberta.encoder.layer.6.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
533
+ "roberta.encoder.layer.6.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
534
+ "roberta.encoder.layer.6.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
535
+ "roberta.encoder.layer.6.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
536
+ "roberta.encoder.layer.6.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
537
+ "roberta.encoder.layer.6.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
538
+ "roberta.encoder.layer.6.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
539
+ "roberta.encoder.layer.6.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
540
+ "roberta.encoder.layer.6.output.dense.bias": "pytorch_model-00001-of-00002.bin",
541
+ "roberta.encoder.layer.6.output.dense.weight": "pytorch_model-00001-of-00002.bin",
542
+ "roberta.encoder.layer.7.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
543
+ "roberta.encoder.layer.7.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
544
+ "roberta.encoder.layer.7.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
545
+ "roberta.encoder.layer.7.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
546
+ "roberta.encoder.layer.7.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
547
+ "roberta.encoder.layer.7.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
548
+ "roberta.encoder.layer.7.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
549
+ "roberta.encoder.layer.7.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
550
+ "roberta.encoder.layer.7.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
551
+ "roberta.encoder.layer.7.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
552
+ "roberta.encoder.layer.7.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
553
+ "roberta.encoder.layer.7.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
554
+ "roberta.encoder.layer.7.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
555
+ "roberta.encoder.layer.7.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
556
+ "roberta.encoder.layer.7.output.dense.bias": "pytorch_model-00001-of-00002.bin",
557
+ "roberta.encoder.layer.7.output.dense.weight": "pytorch_model-00001-of-00002.bin",
558
+ "roberta.encoder.layer.8.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
559
+ "roberta.encoder.layer.8.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
560
+ "roberta.encoder.layer.8.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
561
+ "roberta.encoder.layer.8.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
562
+ "roberta.encoder.layer.8.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
563
+ "roberta.encoder.layer.8.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
564
+ "roberta.encoder.layer.8.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
565
+ "roberta.encoder.layer.8.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
566
+ "roberta.encoder.layer.8.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
567
+ "roberta.encoder.layer.8.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
568
+ "roberta.encoder.layer.8.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
569
+ "roberta.encoder.layer.8.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
570
+ "roberta.encoder.layer.8.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
571
+ "roberta.encoder.layer.8.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
572
+ "roberta.encoder.layer.8.output.dense.bias": "pytorch_model-00001-of-00002.bin",
573
+ "roberta.encoder.layer.8.output.dense.weight": "pytorch_model-00001-of-00002.bin",
574
+ "roberta.encoder.layer.9.LayerNorm.bias": "pytorch_model-00001-of-00002.bin",
575
+ "roberta.encoder.layer.9.LayerNorm.weight": "pytorch_model-00001-of-00002.bin",
576
+ "roberta.encoder.layer.9.attention.output.dense.bias": "pytorch_model-00001-of-00002.bin",
577
+ "roberta.encoder.layer.9.attention.output.dense.weight": "pytorch_model-00001-of-00002.bin",
578
+ "roberta.encoder.layer.9.attention.self.key.bias": "pytorch_model-00001-of-00002.bin",
579
+ "roberta.encoder.layer.9.attention.self.key.weight": "pytorch_model-00001-of-00002.bin",
580
+ "roberta.encoder.layer.9.attention.self.query.bias": "pytorch_model-00001-of-00002.bin",
581
+ "roberta.encoder.layer.9.attention.self.query.weight": "pytorch_model-00001-of-00002.bin",
582
+ "roberta.encoder.layer.9.attention.self.value.bias": "pytorch_model-00001-of-00002.bin",
583
+ "roberta.encoder.layer.9.attention.self.value.weight": "pytorch_model-00001-of-00002.bin",
584
+ "roberta.encoder.layer.9.attention.self_attn_layer_norm.bias": "pytorch_model-00001-of-00002.bin",
585
+ "roberta.encoder.layer.9.attention.self_attn_layer_norm.weight": "pytorch_model-00001-of-00002.bin",
586
+ "roberta.encoder.layer.9.intermediate.dense.bias": "pytorch_model-00001-of-00002.bin",
587
+ "roberta.encoder.layer.9.intermediate.dense.weight": "pytorch_model-00001-of-00002.bin",
588
+ "roberta.encoder.layer.9.output.dense.bias": "pytorch_model-00001-of-00002.bin",
589
+ "roberta.encoder.layer.9.output.dense.weight": "pytorch_model-00001-of-00002.bin",
590
+ "roberta.pooler.dense.bias": "pytorch_model-00002-of-00002.bin",
591
+ "roberta.pooler.dense.weight": "pytorch_model-00002-of-00002.bin"
592
+ }
593
+ }