Upload DistilBertForSequenceClassification

README.md

@@ -12,6 +12,14 @@ datasets:
 metrics:
 - accuracy
 - f1
+widget:
+- text: This product exceeded my expectations! Fast shipping and great quality.
+  example_title: Positive Review
+- text: Terrible experience. Product broke after one week and customer service was
+    unhelpful.
+  example_title: Negative Review
+- text: It's okay, nothing special. Does what it's supposed to do.
+  example_title: Neutral Review
 model-index:
 - name: customer-sentiment-analyzer
   results:
@@ -28,13 +36,6 @@ model-index:
     - type: f1
       value: 0.89
       name: F1 Score
-widget:
-- text: "This product exceeded my expectations! Fast shipping and great quality."
-  example_title: "Positive Review"
-- text: "Terrible experience. Product broke after one week and customer service was unhelpful."
-  example_title: "Negative Review"
-- text: "It's okay, nothing special. Does what it's supposed to do."
-  example_title: "Neutral Review"
 ---
 
 # 🎯 Customer Sentiment Analyzer

config.json

@@ -0,0 +1,33 @@
+{
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "dtype": "float32",
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "negative",
+    "1": "neutral",
+    "2": "positive"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "negative": 0,
+    "neutral": 1,
+    "positive": 2
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.57.3",
+  "vocab_size": 30522
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dce00990b30861aa54d2a1380c8388e36c0638d59b6e15e60576366cd2e95451
+size 267835644