Upload BertForSequenceClassification

README.md

@@ -8,12 +8,17 @@ license: mit
 pipeline_tag: text-classification
 library_name: transformers
 widget:
-  - text: "I had surgery last month. and I was very impressed with the quality of service from the moment I got in till I left. Also I like to mention the nurses they were out standing"
-    example_title: "Positive"
-  - text: "I received the update and will review it later this week."
-    example_title: "Neutral"
-  - text: "Dirty. Generally poor attitude among the nurses, even the good know the place sucks. When patients are crying for help nurse should not be busy watching Tik-Tok. Too many mistakes made too often. Teaching nurses instructing student nurse procedures incorrectly. Yes, it is bad."
-    example_title: "Negative"
+- text: I had surgery last month. and I was very impressed with the quality of service
+    from the moment I got in till I left. Also I like to mention the nurses they were
+    out standing
+  example_title: Positive
+- text: I received the update and will review it later this week.
+  example_title: Neutral
+- text: Dirty. Generally poor attitude among the nurses, even the good know the place
+    sucks. When patients are crying for help nurse should not be busy watching Tik-Tok.
+    Too many mistakes made too often. Teaching nurses instructing student nurse procedures
+    incorrectly. Yes, it is bad.
+  example_title: Negative
 base_model:
 - google/bert_uncased_L-2_H-128_A-2
 ---

config.json

@@ -1,5 +1,4 @@
 {
-  "_name_or_path": "bert-base-uncased",
   "architectures": [
     "BertForSequenceClassification"
   ],
@@ -10,30 +9,18 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
-
   "id2label": {
-    "0": "Neutral",
-    "1": "Positive",
-    "2": "Negative"
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
   },
-  "label2id": {
-    "Neutral": 0,
-    "Positive": 1,
-    "Negative": 2
-  },
-
-  "problem_type": "single_label_classification",
-
-  "task_specific_params": {
-    "text-classification": {
-      "max_length": 256,
-      "truncation": true
-    }
-  },
-  "pipeline_tag": "text-classification",
-
   "initializer_range": 0.02,
   "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",
@@ -41,6 +28,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
   "transformers_version": "4.57.3",
   "type_vocab_size": 2,
   "use_cache": true,

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2d134f73b846df896b65f1c51535d2cf2c27499b7cc95373f9f3b5dfd258efb8
+oid sha256:87c06728514aa1bbd54194261a382b9266ddaaeaaaaafd3bd07d06093c8f4216
 size 437961724