End of training

all_results.json

@@ -0,0 +1 @@
+{"eval_accuracy": 0.9544699235626454}

config.json

@@ -1,13 +1,11 @@
 {
-  "_name_or_path": "hfl/chinese-roberta-wwm-ext",
+  "_name_or_path": "bert-base-chinese",
   "architectures": [
     "BertForMultipleChoice"
   ],
   "attention_probs_dropout_prob": 0.1,
-  "bos_token_id": 0,
   "classifier_dropout": null,
   "directionality": "bidi",
-  "eos_token_id": 2,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
@@ -18,7 +16,6 @@
   "model_type": "bert",
   "num_attention_heads": 12,
   "num_hidden_layers": 12,
-  "output_past": true,
   "pad_token_id": 0,
   "pooler_fc_size": 768,
   "pooler_num_attention_heads": 12,

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b1a4e91152c3988d6bcb1e3b50d1952afeb8b7c944b48126dca8770323541bdd
+oid sha256:b8290d7bb2b51315292d7770a6ab71d707db04fb0b06671824223310d95ad548
 size 409142510

tokenizer.json

@@ -59,7 +59,7 @@
     "clean_text": true,
     "handle_chinese_chars": true,
     "strip_accents": null,
-    "lowercase": true
+    "lowercase": false
   },
   "pre_tokenizer": {
     "type": "BertPreTokenizer"

tokenizer_config.json

@@ -44,9 +44,9 @@
   "additional_special_tokens": [],
   "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
-  "do_lower_case": true,
+  "do_lower_case": false,
   "mask_token": "[MASK]",
-  "model_max_length": 1000000000000000019884624838656,
+  "model_max_length": 512,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "strip_accents": null,