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bert4torch_config

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Tongjilibo commited on
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8c4f939
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1 Parent(s): 1dfa574

add albert

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Files changed (6) hide show
  1. albert_chinese_base/bert4torch_config.json +27 -0
  2. albert_chinese_large/bert4torch_config.json +27 -0
  3. albert_chinese_small/bert4torch_config.json +26 -0
  4. albert_chinese_tiny/bert4torch_config.json +26 -0
  5. albert_chinese_xlarge/bert4torch_config.json +27 -0
  6. albert_chinese_xxlarge/bert4torch_config.json +27 -0
albert_chinese_base/bert4torch_config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attention_probs_dropout_prob": 0,
3
+ "bos_token_id": 2,
4
+ "classifier_dropout_prob": 0.1,
5
+ "down_scale_factor": 1,
6
+ "embedding_size": 128,
7
+ "eos_token_id": 3,
8
+ "gap_size": 0,
9
+ "hidden_act": "relu",
10
+ "hidden_dropout_prob": 0,
11
+ "hidden_size": 768,
12
+ "initializer_range": 0.02,
13
+ "inner_group_num": 1,
14
+ "intermediate_size": 3072,
15
+ "layer_norm_eps": 1e-12,
16
+ "layers_to_keep": [],
17
+ "max_position_embeddings": 512,
18
+ "model": "albert",
19
+ "net_structure_type": 0,
20
+ "num_attention_heads": 12,
21
+ "num_hidden_groups": 1,
22
+ "num_hidden_layers": 12,
23
+ "num_memory_blocks": 0,
24
+ "pad_token_id": 0,
25
+ "type_vocab_size": 2,
26
+ "vocab_size": 21128
27
+ }
albert_chinese_large/bert4torch_config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attention_probs_dropout_prob": 0,
3
+ "bos_token_id": 2,
4
+ "classifier_dropout_prob": 0.1,
5
+ "down_scale_factor": 1,
6
+ "embedding_size": 128,
7
+ "eos_token_id": 3,
8
+ "gap_size": 0,
9
+ "hidden_act": "relu",
10
+ "hidden_dropout_prob": 0,
11
+ "hidden_size": 1024,
12
+ "initializer_range": 0.02,
13
+ "inner_group_num": 1,
14
+ "intermediate_size": 4096,
15
+ "layer_norm_eps": 1e-12,
16
+ "layers_to_keep": [],
17
+ "max_position_embeddings": 512,
18
+ "model": "albert",
19
+ "net_structure_type": 0,
20
+ "num_attention_heads": 16,
21
+ "num_hidden_groups": 1,
22
+ "num_hidden_layers": 24,
23
+ "num_memory_blocks": 0,
24
+ "pad_token_id": 0,
25
+ "type_vocab_size": 2,
26
+ "vocab_size": 21128
27
+ }
albert_chinese_small/bert4torch_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attention_probs_dropout_prob": 0.0,
3
+ "bos_token_id": 2,
4
+ "classifier_dropout_prob": 0.1,
5
+ "down_scale_factor": 1,
6
+ "embedding_size": 128,
7
+ "eos_token_id": 3,
8
+ "gap_size": 0,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.0,
11
+ "hidden_size": 384,
12
+ "initializer_range": 0.02,
13
+ "inner_group_num": 1,
14
+ "intermediate_size": 1536,
15
+ "layer_norm_eps": 1e-12,
16
+ "max_position_embeddings": 512,
17
+ "model": "albert",
18
+ "net_structure_type": 0,
19
+ "num_attention_heads": 12,
20
+ "num_hidden_groups": 1,
21
+ "num_hidden_layers": 6,
22
+ "num_memory_blocks": 0,
23
+ "pad_token_id": 0,
24
+ "type_vocab_size": 2,
25
+ "vocab_size": 21128
26
+ }
albert_chinese_tiny/bert4torch_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attention_probs_dropout_prob": 0.0,
3
+ "bos_token_id": 2,
4
+ "classifier_dropout_prob": 0.1,
5
+ "down_scale_factor": 1,
6
+ "embedding_size": 128,
7
+ "eos_token_id": 3,
8
+ "gap_size": 0,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.0,
11
+ "hidden_size": 312,
12
+ "initializer_range": 0.02,
13
+ "inner_group_num": 1,
14
+ "intermediate_size": 1248,
15
+ "layer_norm_eps": 1e-12,
16
+ "max_position_embeddings": 512,
17
+ "model": "albert",
18
+ "net_structure_type": 0,
19
+ "num_attention_heads": 12,
20
+ "num_hidden_groups": 1,
21
+ "num_hidden_layers": 4,
22
+ "num_memory_blocks": 0,
23
+ "pad_token_id": 0,
24
+ "type_vocab_size": 2,
25
+ "vocab_size": 21128
26
+ }
albert_chinese_xlarge/bert4torch_config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attention_probs_dropout_prob": 0,
3
+ "bos_token_id": 2,
4
+ "classifier_dropout_prob": 0.1,
5
+ "down_scale_factor": 1,
6
+ "embedding_size": 128,
7
+ "eos_token_id": 3,
8
+ "gap_size": 0,
9
+ "hidden_act": "relu",
10
+ "hidden_dropout_prob": 0,
11
+ "hidden_size": 2048,
12
+ "initializer_range": 0.014,
13
+ "inner_group_num": 1,
14
+ "intermediate_size": 8192,
15
+ "layer_norm_eps": 1e-12,
16
+ "layers_to_keep": [],
17
+ "max_position_embeddings": 512,
18
+ "model": "albert",
19
+ "net_structure_type": 0,
20
+ "num_attention_heads": 16,
21
+ "num_hidden_groups": 1,
22
+ "num_hidden_layers": 24,
23
+ "num_memory_blocks": 0,
24
+ "pad_token_id": 0,
25
+ "type_vocab_size": 2,
26
+ "vocab_size": 21128
27
+ }
albert_chinese_xxlarge/bert4torch_config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attention_probs_dropout_prob": 0,
3
+ "bos_token_id": 2,
4
+ "classifier_dropout_prob": 0.1,
5
+ "down_scale_factor": 1,
6
+ "embedding_size": 128,
7
+ "eos_token_id": 3,
8
+ "gap_size": 0,
9
+ "hidden_act": "relu",
10
+ "hidden_dropout_prob": 0,
11
+ "hidden_size": 4096,
12
+ "initializer_range": 0.01,
13
+ "inner_group_num": 1,
14
+ "intermediate_size": 16384,
15
+ "layer_norm_eps": 1e-12,
16
+ "layers_to_keep": [],
17
+ "max_position_embeddings": 512,
18
+ "model": "albert",
19
+ "net_structure_type": 0,
20
+ "num_attention_heads": 16,
21
+ "num_hidden_groups": 1,
22
+ "num_hidden_layers": 12,
23
+ "num_memory_blocks": 0,
24
+ "pad_token_id": 0,
25
+ "type_vocab_size": 2,
26
+ "vocab_size": 21128
27
+ }