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mbert-en-finetuned-sinta-e10

Text Classification
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mbert-en-finetuned-sinta-e10
File size: 1,508 Bytes 
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{
  "_name_or_path": "bert-base-multilingual-cased",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "SDG1",
    "1": "SDG2",
    "2": "SDG3",
    "3": "SDG4",
    "4": "SDG5",
    "5": "SDG6",
    "6": "SDG7",
    "7": "SDG8",
    "8": "SDG9",
    "9": "SDG10",
    "10": "SDG11",
    "11": "SDG12",
    "12": "SDG13",
    "13": "SDG14",
    "14": "SDG15",
    "15": "SDG16",
    "16": "SDG17"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "SDG1": 0,
    "SDG10": 9,
    "SDG11": 10,
    "SDG12": 11,
    "SDG13": 12,
    "SDG14": 13,
    "SDG15": 14,
    "SDG16": 15,
    "SDG17": 16,
    "SDG2": 1,
    "SDG3": 2,
    "SDG4": 3,
    "SDG5": 4,
    "SDG6": 5,
    "SDG7": 6,
    "SDG8": 7,
    "SDG9": 8
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "problem_type": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.44.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 119547
}