Upload BertForSequenceClassification

README.md

@@ -1,7 +1,7 @@
 ---
 license: mit
 language:
-  - pt
+- pt
 metrics:
   accuracy:
     Neutral: 0.99
@@ -10,26 +10,26 @@ metrics:
 base_model: neuralmind/bert-base-portuguese-cased
 library_name: transformers
 tags:
-  - sentiment analysis
-  - nlp
-  - glassdoor
+- sentiment analysis
+- nlp
+- glassdoor
 pipeline_tag: text-classification
 widget:
-  - text: "Ambiente acolhedor e boa comunicação."
-    example_title: Positive sample
-    output:
-      - label: Positive
-        score: 0.9998
-  - text: "Mal remunerado, fora isso tranquilo."
-    example_title: Negative sample
-    output:
-      - label: Negative
-        score: 0.9996
-  - text: "nenhum contra com esta empresa"
-    example_title: Neutral sample
-    output:
-      - label: Neutral
-        score: 0.9998
+- text: Ambiente acolhedor e boa comunicação.
+  example_title: Positive sample
+  output:
+  - label: Positive
+    score: 0.9998
+- text: Mal remunerado, fora isso tranquilo.
+  example_title: Negative sample
+  output:
+  - label: Negative
+    score: 0.9996
+- text: nenhum contra com esta empresa
+  example_title: Neutral sample
+  output:
+  - label: Neutral
+    score: 0.9998
 ---
 
 ## Model Instructions

config.json

@@ -1,19 +1,43 @@
 {
+  "_name_or_path": "neuralmind/bert-base-portuguese-cased",
   "architectures": [
-    "GlassdoorReviewsClassifierFreezing"
+    "BertForSequenceClassification"
   ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "Neutral",
-    "1": "Positive",
-    "2": "Negative"
+    "0": "neutral",
+    "1": "positive",
+    "2": "negative"
   },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
   "label2id": {
-    "Negative": 2,
-    "Neutral": 0,
-    "Positive": 1
+    "negative": 2,
+    "neutral": 0,
+    "positive": 1
   },
-  "model_type": "portuguese_glassdoor_sentiment_classifier",
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.47.1"
+  "transformers_version": "4.47.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 29794
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:df9f3f6ad4f9d19a48456f092d1af205139b08ae7948ff7f4e42b60a4e69f29e
-size 436780628
+oid sha256:c4fc652ffd6d7e4100eddfdabc7a57dfb2f1799e984a0841d53cbd4156cb48d9
+size 435725300