Add Initial Model + README

I2B2-NER-5-Epochs-Model/config.json

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+{
+  "_name_or_path": "bert-base-cased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": [
+    "O",
+    "B-AGE",
+    "I-AGE",
+    "B-BIOID",
+    "I-BIOID",
+    "B-CITY",
+    "I-CITY",
+    "B-COUNTRY",
+    "I-COUNTRY",
+    "B-DATE",
+    "I-DATE",
+    "B-DEVICE",
+    "I-DEVICE",
+    "B-DOCTOR",
+    "I-DOCTOR",
+    "B-EMAIL",
+    "I-EMAIL",
+    "B-FAX",
+    "I-FAX",
+    "B-HEALTHPLAN",
+    "I-HEALTHPLAN",
+    "B-HOSPITAL",
+    "I-HOSPITAL",
+    "B-IDNUM",
+    "I-IDNUM",
+    "B-LOCATION-OTHER",
+    "I-LOCATION-OTHER",
+    "B-MEDICALRECORD",
+    "I-MEDICALRECORD",
+    "B-ORGANIZATION",
+    "I-ORGANIZATION",
+    "B-PATIENT",
+    "I-PATIENT",
+    "B-PHONE",
+    "I-PHONE",
+    "B-PROFESSION",
+    "I-PROFESSION",
+    "B-STATE",
+    "I-STATE",
+    "B-STREET",
+    "I-STREET",
+    "B-URL",
+    "I-URL",
+    "B-USERNAME",
+    "I-USERNAME",
+    "B-ZIP",
+    "I-ZIP"
+  ],
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-AGE": 1,
+    "B-BIOID": 3,
+    "B-CITY": 5,
+    "B-COUNTRY": 7,
+    "B-DATE": 9,
+    "B-DEVICE": 11,
+    "B-DOCTOR": 13,
+    "B-EMAIL": 15,
+    "B-FAX": 17,
+    "B-HEALTHPLAN": 19,
+    "B-HOSPITAL": 21,
+    "B-IDNUM": 23,
+    "B-LOCATION-OTHER": 25,
+    "B-MEDICALRECORD": 27,
+    "B-ORGANIZATION": 29,
+    "B-PATIENT": 31,
+    "B-PHONE": 33,
+    "B-PROFESSION": 35,
+    "B-STATE": 37,
+    "B-STREET": 39,
+    "B-URL": 41,
+    "B-USERNAME": 43,
+    "B-ZIP": 45,
+    "I-AGE": 2,
+    "I-BIOID": 4,
+    "I-CITY": 6,
+    "I-COUNTRY": 8,
+    "I-DATE": 10,
+    "I-DEVICE": 12,
+    "I-DOCTOR": 14,
+    "I-EMAIL": 16,
+    "I-FAX": 18,
+    "I-HEALTHPLAN": 20,
+    "I-HOSPITAL": 22,
+    "I-IDNUM": 24,
+    "I-LOCATION-OTHER": 26,
+    "I-MEDICALRECORD": 28,
+    "I-ORGANIZATION": 30,
+    "I-PATIENT": 32,
+    "I-PHONE": 34,
+    "I-PROFESSION": 36,
+    "I-STATE": 38,
+    "I-STREET": 40,
+    "I-URL": 42,
+    "I-USERNAME": 44,
+    "I-ZIP": 46,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.10.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

I2B2-NER-5-Epochs-Model/pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:014029d9f4a39272699d8cc5a35c9ba1c9d6899c2a75d5e305bf9dc5a6642e6d
+size 431103857

README.md

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+Named-entity recognition model trained on the I2B2 training data set for PHI.