Create config.json
Browse files- config.json +51 -0
config.json
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{
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"_name_or_path": "SciTopicSentimentClassifier",
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"architectures": ["DistilBertForSequenceClassification"],
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"model_type": "distilbert",
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"finetuning_task": "multi_label_classification",
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"num_labels": 12,
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"id2label": {
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"0": "Deep Learning/AI",
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"1": "Quantum Computing",
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"2": "Environmental Science",
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"3": "Neuroscience",
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"4": "Materials Science/Chemistry",
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"5": "Finance/Econometrics",
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"6": "Cybersecurity/Networking",
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"7": "Renewable Energy",
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"8": "Biomedical Engineering",
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"9": "Control Systems/Robotics",
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"10": "High-Positive-Sentiment",
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"11": "Low-Negative-Sentiment"
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},
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"label2id": {
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"Deep Learning/AI": 0,
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"Quantum Computing": 1,
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"Environmental Science": 2,
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"Neuroscience": 3,
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"Materials Science/Chemistry": 4,
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"Finance/Econometrics": 5,
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"Cybersecurity/Networking": 6,
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"Renewable Energy": 7,
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"Biomedical Engineering": 8,
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"Control Systems/Robotics": 9,
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"High-Positive-Sentiment": 10,
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"Low-Negative-Sentiment": 11
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},
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"initializer_range": 0.02,
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"max_position_embeddings": 512,
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"sinusoidal_pos_embds": false,
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"vocab_size": 30522,
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"dim": 768,
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"tie_weights_": true,
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"output_hidden_states": false,
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"output_attentions": false,
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"torch_dtype": "float32"
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}
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