Upload config

README.md

@@ -1,16 +1,16 @@
 ---
+language:
+- en
 license: apache-2.0
-base_model: bert-base-cased
 tags:
 - generated_from_trainer
+base_model: bert-base-cased
 datasets:
 - emotion
+pipeline_tag: text-classification
 model-index:
 - name: bert-finetuned-emotion
   results: []
-language:
-- en
-pipeline_tag: text-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You

config.json

@@ -1,7 +1,7 @@
 {
   "_name_or_path": "bert-base-cased",
   "architectures": [
-    "BertForSequenceClassification"
+    "BertForMaskedLM"
   ],
   "attention_probs_dropout_prob": 0.1,
   "classifier_dropout": null,
@@ -10,22 +10,22 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2",
-    "3": "LABEL_3",
-    "4": "LABEL_4",
-    "5": "LABEL_5"
+    "0": "sadness",
+    "1": "joy",
+    "2": "love",
+    "3": "anger",
+    "4": "fear",
+    "5": "surprise"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2,
-    "LABEL_3": 3,
-    "LABEL_4": 4,
-    "LABEL_5": 5
+    "anger": "3",
+    "fear": "4",
+    "joy": "1",
+    "love": "2",
+    "sadness": "0",
+    "surprise": "5"
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
@@ -34,8 +34,6 @@
   "num_hidden_layers": 12,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "problem_type": "single_label_classification",
-  "torch_dtype": "float32",
   "transformers_version": "4.40.1",
   "type_vocab_size": 2,
   "use_cache": true,