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nattkorat
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arg_extraction

Token Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
Model card Files
xet
 Community
arg_extraction
File size: 2,507 Bytes
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{
  "architectures": [
    "XLMRobertaForTokenClassification"
  ],
  "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": "B-AGENT",
    "1": "B-AUTHORITY",
    "2": "B-CURED",
    "3": "B-DEAD",
    "4": "B-DISEASE",
    "5": "B-DURATION",
    "6": "B-EFFECTIVENESS",
    "7": "B-FACILITY",
    "8": "B-INFECTED",
    "9": "B-INFORMATION-SOURCE",
    "10": "B-MEANS",
    "11": "B-PERSON",
    "12": "B-PLACE",
    "13": "B-POPULATION",
    "14": "B-SUBJECT",
    "15": "B-SYMPTOM",
    "16": "B-TARGET",
    "17": "B-TIME",
    "18": "B-TREND",
    "19": "B-VALUE",
    "20": "I-AGENT",
    "21": "I-AUTHORITY",
    "22": "I-CURED",
    "23": "I-DEAD",
    "24": "I-DISEASE",
    "25": "I-DURATION",
    "26": "I-EFFECTIVENESS",
    "27": "I-FACILITY",
    "28": "I-INFECTED",
    "29": "I-INFORMATION-SOURCE",
    "30": "I-MEANS",
    "31": "I-PERSON",
    "32": "I-PLACE",
    "33": "I-POPULATION",
    "34": "I-SUBJECT",
    "35": "I-SYMPTOM",
    "36": "I-TARGET",
    "37": "I-TIME",
    "38": "I-TREND",
    "39": "I-VALUE",
    "40": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-AGENT": 0,
    "B-AUTHORITY": 1,
    "B-CURED": 2,
    "B-DEAD": 3,
    "B-DISEASE": 4,
    "B-DURATION": 5,
    "B-EFFECTIVENESS": 6,
    "B-FACILITY": 7,
    "B-INFECTED": 8,
    "B-INFORMATION-SOURCE": 9,
    "B-MEANS": 10,
    "B-PERSON": 11,
    "B-PLACE": 12,
    "B-POPULATION": 13,
    "B-SUBJECT": 14,
    "B-SYMPTOM": 15,
    "B-TARGET": 16,
    "B-TIME": 17,
    "B-TREND": 18,
    "B-VALUE": 19,
    "I-AGENT": 20,
    "I-AUTHORITY": 21,
    "I-CURED": 22,
    "I-DEAD": 23,
    "I-DISEASE": 24,
    "I-DURATION": 25,
    "I-EFFECTIVENESS": 26,
    "I-FACILITY": 27,
    "I-INFECTED": 28,
    "I-INFORMATION-SOURCE": 29,
    "I-MEANS": 30,
    "I-PERSON": 31,
    "I-PLACE": 32,
    "I-POPULATION": 33,
    "I-SUBJECT": 34,
    "I-SYMPTOM": 35,
    "I-TARGET": 36,
    "I-TIME": 37,
    "I-TREND": 38,
    "I-VALUE": 39,
    "O": 40
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.52.4",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}