bert large vendor

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "microsoft/layoutlm-base-uncased",
+  "_name_or_path": "microsoft/layoutlm-large-uncased",
   "architectures": [
     "LayoutLMForQuestionAnswering"
   ],
@@ -7,20 +7,20 @@
   "classifier_dropout": null,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
-  "hidden_size": 768,
+  "hidden_size": 1024,
   "initializer_range": 0.02,
-  "intermediate_size": 3072,
+  "intermediate_size": 4096,
   "layer_norm_eps": 1e-12,
   "max_2d_position_embeddings": 1024,
   "max_position_embeddings": 512,
   "model_type": "bert",
-  "num_attention_heads": 12,
-  "num_hidden_layers": 12,
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
   "output_past": true,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.22.2",
+  "transformers_version": "4.23.1",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

pytorch_model.bin

@@ -1,3 +1,3 @@
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+size 1357491877

tokenizer_config.json

@@ -4,11 +4,11 @@
   "do_lower_case": true,
   "mask_token": "[MASK]",
   "max_len": 512,
-  "name_or_path": "microsoft/layoutlm-base-uncased",
+  "name_or_path": "microsoft/layoutlm-large-uncased",
   "never_split": null,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
-  "special_tokens_map_file": "data/models/models--microsoft--layoutlm-base-uncased/snapshots/ca841ce8d2f46b13b0ac3f635b8eb7d2e1d758d5/special_tokens_map.json",
+  "special_tokens_map_file": "data/models/models--microsoft--layoutlm-large-uncased/snapshots/1e7d50dced3cdfea3a3d63c610e2aab36933dbef/special_tokens_map.json",
   "strip_accents": null,
   "tokenize_chinese_chars": true,
   "tokenizer_class": "BertTokenizer",

training_args.bin

@@ -1,3 +1,3 @@
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+size 1583