add model

README.md

@@ -2,14 +2,14 @@
 tags:
 - generated_from_keras_callback
 model-index:
-- name: stress_classifier
+- name: tmpu5lhmk3s
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
 probably proofread and complete it, then remove this comment. -->
 
-# stress_classifier
+# tmpu5lhmk3s
 
 This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
@@ -42,5 +42,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.16.2
-- TensorFlow 2.6.1
+- TensorFlow 2.7.0
+- Datasets 1.18.3
 - Tokenizers 0.11.0

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "stress_classifier/",
+  "_name_or_path": "stress_model/",
   "activation": "gelu",
   "architectures": [
     "DistilBertForSequenceClassification"
@@ -9,27 +9,27 @@
   "dropout": 0.1,
   "hidden_dim": 3072,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2",
-    "3": "LABEL_3",
-    "4": "LABEL_4",
-    "5": "LABEL_5",
-    "6": "LABEL_6",
-    "7": "LABEL_7",
-    "8": "LABEL_8"
+    "0": "Other",
+    "1": "Emotional Turmoil",
+    "2": "Everyday Decision Making",
+    "3": "Work",
+    "4": "Social Relationships",
+    "5": "Health, Fatigue, or Physical Pain",
+    "6": "Family Issues",
+    "7": "School",
+    "8": "Financial Problem"
   },
   "initializer_range": 0.02,
   "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2,
-    "LABEL_3": 3,
-    "LABEL_4": 4,
-    "LABEL_5": 5,
-    "LABEL_6": 6,
-    "LABEL_7": 7,
-    "LABEL_8": 8
+    "Emotional Turmoil": 1,
+    "Everyday Decision Making": 2,
+    "Family Issues": 6,
+    "Financial Problem": 8,
+    "Health, Fatigue, or Physical Pain": 5,
+    "Other": 0,
+    "School": 7,
+    "Social Relationships": 4,
+    "Work": 3
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:da3a688b9af126320f6f818517e6927f3af73414d21d4fd969362034c1d88333
+oid sha256:458dbfcfd967ead394f68a68a64bff5bd5203cb8aa04830e1c14fc7ce42dbc8e
 size 267973400