config.json

{
  "_name_or_path": "FinText/FinText-Base-2023",
  "architectures": [
    "RobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2",
    "3": "LABEL_3",
    "4": "LABEL_4",
    "5": "LABEL_5",
    "6": "LABEL_6",
    "7": "LABEL_7",
    "8": "LABEL_8",
    "9": "LABEL_9",
    "10": "LABEL_10",
    "11": "LABEL_11",
    "12": "LABEL_12",
    "13": "LABEL_13",
    "14": "LABEL_14",
    "15": "LABEL_15",
    "16": "LABEL_16",
    "17": "LABEL_17",
    "18": "LABEL_18",
    "19": "LABEL_19",
    "20": "LABEL_20",
    "21": "LABEL_21",
    "22": "LABEL_22",
    "23": "LABEL_23",
    "24": "LABEL_24",
    "25": "LABEL_25",
    "26": "LABEL_26",
    "27": "LABEL_27",
    "28": "LABEL_28",
    "29": "LABEL_29",
    "30": "LABEL_30",
    "31": "LABEL_31",
    "32": "LABEL_32",
    "33": "LABEL_33",
    "34": "LABEL_34",
    "35": "LABEL_35",
    "36": "LABEL_36",
    "37": "LABEL_37",
    "38": "LABEL_38",
    "39": "LABEL_39",
    "40": "LABEL_40",
    "41": "LABEL_41",
    "42": "LABEL_42",
    "43": "LABEL_43",
    "44": "LABEL_44",
    "45": "LABEL_45",
    "46": "LABEL_46",
    "47": "LABEL_47",
    "48": "LABEL_48"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
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    "LABEL_11": 11,
    "LABEL_12": 12,
    "LABEL_13": 13,
    "LABEL_14": 14,
    "LABEL_15": 15,
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    "LABEL_18": 18,
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    "LABEL_2": 2,
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    "LABEL_21": 21,
    "LABEL_22": 22,
    "LABEL_23": 23,
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    "LABEL_25": 25,
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    "LABEL_3": 3,
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    "LABEL_4": 4,
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    "LABEL_43": 43,
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    "LABEL_5": 5,
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    "LABEL_8": 8,
    "LABEL_9": 9
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.45.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}