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config.json

@@ -1,28 +1,33 @@
 {
-  "_name_or_path": "16epoch",
+  "_name_or_path": "model",
   "architectures": [
     "BertForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
   "classifier_dropout": null,
-  "emb_size": 312,
-  "gradient_checkpointing": false,
+  "directionality": "bidi",
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
-  "hidden_size": 312,
+  "hidden_size": 768,
   "initializer_range": 0.02,
-  "intermediate_size": 600,
+  "intermediate_size": 3072,
   "layer_norm_eps": 1e-12,
-  "max_position_embeddings": 2048,
+  "max_position_embeddings": 512,
   "model_type": "bert",
   "num_attention_heads": 12,
-  "num_hidden_layers": 3,
+  "num_hidden_layers": 12,
+  "output_past": true,
   "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
   "transformers_version": "4.25.0",
   "type_vocab_size": 2,
   "use_cache": true,
-  "vocab_size": 83828
+  "vocab_size": 119547
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 116812255
+oid sha256:169e897f5cbb1a19647c586f317ed0d3ba3ee353ad32ba2893b0c88893a7bf28
+size 711492725

tokenizer_config.json

@@ -3,12 +3,12 @@
   "do_basic_tokenize": true,
   "do_lower_case": false,
   "mask_token": "[MASK]",
-  "model_max_length": 2048,
-  "name_or_path": "16epoch",
+  "model_max_length": 1000000000000000019884624838656,
+  "name_or_path": "model",
   "never_split": null,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
-  "special_tokens_map_file": null,
+  "special_tokens_map_file": "model/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 3323