Update from User

README.MD

@@ -0,0 +1,3 @@
+# 预训练模型uer/roberta-base-finetuned-dianping-chinese
+# 标注数据2400条测试数据
+# 后续迭代可以继续标注数据增加正确标注数据量

config.json

@@ -0,0 +1,34 @@
+{
+  "_name_or_path": "uer/roberta-base-finetuned-dianping-chinese",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "negative (stars 1, 2 and 3)",
+    "1": "positive (stars 4 and 5)"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "negative (stars 1, 2 and 3)": 0,
+    "positive (stars 4 and 5)": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.27.4",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 21128
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:958e23e661598700e43fd833f6a77dff3d011861c6b3a305ed7f079bc343bd7a
+size 409149557