Upload RobertaForTokenClassification

config.json

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+{
+  "_name_or_path": "/home/phongtnh/MyProjects/VietMed_NER/outputs/vinai/phobert-base-v2",
+  "architectures": [
+    "RobertaForTokenClassification"
+  ],
+  "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": "I-ORGAN",
+    "1": "B-PREVENTIVEMED",
+    "2": "B-DISEASESYMTOM",
+    "3": "B-FOODDRINK",
+    "4": "B-ORGANIZATION",
+    "5": "B-OCCUPATION",
+    "6": "B-DRUGCHEMICAL",
+    "7": "I-FOODDRINK",
+    "8": "I-DISEASESYMTOM",
+    "9": "I-UNITCALIBRATOR",
+    "10": "I-DATETIME",
+    "11": "I-DIAGNOSTICS",
+    "12": "B-TRANSPORTATION",
+    "13": "B-GENDER",
+    "14": "B-AGE",
+    "15": "B-DATETIME",
+    "16": "B-LOCATION",
+    "17": "B-TREATMENT",
+    "18": "I-DRUGCHEMICAL",
+    "19": "I-PREVENTIVEMED",
+    "20": "I-TREATMENT",
+    "21": "I-ORGANIZATION",
+    "22": "0",
+    "23": "B-UNITCALIBRATOR",
+    "24": "B-MEDDEVICETECHNIQUE",
+    "25": "I-OCCUPATION",
+    "26": "B-PERSONALCARE",
+    "27": "I-PERSONALCARE",
+    "28": "I-GENDER",
+    "29": "I-SURGERY",
+    "30": "I-AGE",
+    "31": "I-LOCATION",
+    "32": "B-DIAGNOSTICS",
+    "33": "I-MEDDEVICETECHNIQUE",
+    "34": "B-ORGAN",
+    "35": "B-SURGERY",
+    "36": "I-TRANSPORTATION"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "0": 22,
+    "B-AGE": 14,
+    "B-DATETIME": 15,
+    "B-DIAGNOSTICS": 32,
+    "B-DISEASESYMTOM": 2,
+    "B-DRUGCHEMICAL": 6,
+    "B-FOODDRINK": 3,
+    "B-GENDER": 13,
+    "B-LOCATION": 16,
+    "B-MEDDEVICETECHNIQUE": 24,
+    "B-OCCUPATION": 5,
+    "B-ORGAN": 34,
+    "B-ORGANIZATION": 4,
+    "B-PERSONALCARE": 26,
+    "B-PREVENTIVEMED": 1,
+    "B-SURGERY": 35,
+    "B-TRANSPORTATION": 12,
+    "B-TREATMENT": 17,
+    "B-UNITCALIBRATOR": 23,
+    "I-AGE": 30,
+    "I-DATETIME": 10,
+    "I-DIAGNOSTICS": 11,
+    "I-DISEASESYMTOM": 8,
+    "I-DRUGCHEMICAL": 18,
+    "I-FOODDRINK": 7,
+    "I-GENDER": 28,
+    "I-LOCATION": 31,
+    "I-MEDDEVICETECHNIQUE": 33,
+    "I-OCCUPATION": 25,
+    "I-ORGAN": 0,
+    "I-ORGANIZATION": 21,
+    "I-PERSONALCARE": 27,
+    "I-PREVENTIVEMED": 19,
+    "I-SURGERY": 29,
+    "I-TRANSPORTATION": 36,
+    "I-TREATMENT": 20,
+    "I-UNITCALIBRATOR": 9
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 258,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "tokenizer_class": "PhobertTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.32.0.dev0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 64001
+}

pytorch_model.bin

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