Upload BertForSequenceClassification
Browse files- README.md +29 -29
- config.json +1 -2
- model.safetensors +2 -2
README.md
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---
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tags:
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model-index:
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---
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# IndoBERT Sentiment Classifier for Social Media Posts – Universitas XYZ
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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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- 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
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config.json
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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"
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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.
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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
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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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
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