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