Text Classification
Transformers
Safetensors
new
custom_code
File size: 2,678 Bytes
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{
  "_name_or_path": "../../delve/ontologies/checkpoints/gte-base-en-v1.5_topic-v3.8_url1",
  "architectures": [
    "NewForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "auto_map": {
    "AutoConfig": "configuration.NewConfig",
    "AutoModel": "Alibaba-NLP/new-impl--modeling.NewModel",
    "AutoModelForMaskedLM": "Alibaba-NLP/new-impl--modeling.NewForMaskedLM",
    "AutoModelForMultipleChoice": "Alibaba-NLP/new-impl--modeling.NewForMultipleChoice",
    "AutoModelForQuestionAnswering": "Alibaba-NLP/new-impl--modeling.NewForQuestionAnswering",
    "AutoModelForSequenceClassification": "modeling.NewForSequenceClassification",
    "AutoModelForTokenClassification": "Alibaba-NLP/new-impl--modeling.NewForTokenClassification"
  },
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Adult",
    "1": "Art & Design",
    "10": "Food & Dining",
    "11": "Games",
    "12": "Health",
    "13": "History",
    "14": "Home & Hobbies",
    "15": "Industrial",
    "16": "Literature",
    "17": "Politics",
    "18": "Religion",
    "19": "Science & Tech.",
    "2": "Software Dev.",
    "20": "Software",
    "21": "Sports & Fitness",
    "22": "Transportation",
    "23": "Travel",
    "3": "Crime & Law",
    "4": "Education & Jobs",
    "5": "Hardware",
    "6": "Entertainment",
    "7": "Social Life",
    "8": "Fashion & Beauty",
    "9": "Finance & Business"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Adult": 0,
    "Art & Design": 1,
    "Crime & Law": 3,
    "Education & Jobs": 4,
    "Entertainment": 6,
    "Fashion & Beauty": 8,
    "Finance & Business": 9,
    "Food & Dining": 10,
    "Games": 11,
    "Hardware": 5,
    "Health": 12,
    "History": 13,
    "Home & Hobbies": 14,
    "Industrial": 15,
    "Literature": 16,
    "Politics": 17,
    "Religion": 18,
    "Science & Tech.": 19,
    "Social Life": 7,
    "Software": 20,
    "Software Dev.": 2,
    "Sports & Fitness": 21,
    "Transportation": 22,
    "Travel": 23
  },
  "layer_norm_eps": 1e-12,
  "layer_norm_type": "layer_norm",
  "logn_attention_clip1": false,
  "logn_attention_scale": false,
  "max_position_embeddings": 8192,
  "model_type": "new",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pack_qkv": true,
  "pad_token_id": 0,
  "position_embedding_type": "rope",
  "rope_scaling": {
    "factor": 2.0,
    "type": "ntk"
  },
  "rope_theta": 500000,
  "torch_dtype": "float32",
  "transformers_version": "4.41.2",
  "type_vocab_size": 0,
  "unpad_inputs": true,
  "use_memory_efficient_attention": true,
  "vocab_size": 30528
}