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Upload BertForSequenceClassification

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  1. README.md +29 -29
  2. config.json +1 -2
  3. model.safetensors +2 -2
README.md CHANGED
@@ -1,35 +1,35 @@
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  ---
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  tags:
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- - indobert
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- - sentiment-analysis
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- - text-classification
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- - social-media
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- - indonesian
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- - django
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- - fine-tuned
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- - academic-evaluation
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  model-index:
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- - name: IndoBERT Sentiment Classifier For University Review - University XYZ
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- results:
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- - task:
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- type: text-classification
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- name: Sentiment Analysis
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- dataset:
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- name: Online Lecture Sentiment Dataset
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- type: custom-dataset
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.89
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- - name: F1 Score
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- type: f1
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- value: 0.88
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- - name: Precision
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- type: precision
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- value: 0.87
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- - name: Recall
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- type: recall
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- value: 0.89
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  ---
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  # IndoBERT Sentiment Classifier for Social Media Posts – Universitas XYZ
 
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  ---
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  tags:
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+ - indobert
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+ - sentiment-analysis
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+ - text-classification
6
+ - social-media
7
+ - indonesian
8
+ - django
9
+ - fine-tuned
10
+ - academic-evaluation
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  model-index:
12
+ - name: IndoBERT Sentiment Classifier For University Review - University XYZ
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+ results:
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+ - task:
15
+ type: text-classification
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+ name: Sentiment Analysis
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+ dataset:
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+ name: Online Lecture Sentiment Dataset
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+ type: custom-dataset
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+ metrics:
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+ - type: accuracy
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+ value: 0.89
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+ name: Accuracy
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+ - type: f1
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+ value: 0.88
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+ name: F1 Score
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+ - type: precision
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+ value: 0.87
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+ name: Precision
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+ - type: recall
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+ value: 0.89
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+ name: Recall
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  ---
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  # IndoBERT Sentiment Classifier for Social Media Posts – Universitas XYZ
config.json CHANGED
@@ -1,5 +1,4 @@
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  {
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- "_name_or_path": "IndoBERT",
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  "_num_labels": 5,
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  "architectures": [
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  "BertForSequenceClassification"
@@ -37,7 +36,7 @@
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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- "transformers_version": "4.24.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 50000
 
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  {
 
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  "_num_labels": 5,
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  "architectures": [
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  "BertForSequenceClassification"
 
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.52.2",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 50000
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- size 497802340
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:34b566c88a3182d288691a617c2af3d41390b1098d565e8c55c3429a582c9c0b
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+ size 497798148