Training in progress, step 500

.gitignore

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added_tokens.json

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+{
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+}

config.json

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+{
+  "_name_or_path": "Clinical-AI-Apollo/Medical-NER",
+  "architectures": [
+    "DebertaV2ForTokenClassification"
+  ],
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+  "hidden_act": "gelu",
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+    "2": "I-ACTIVITY",
+    "3": "I-ADMINISTRATION",
+    "4": "B-ADMINISTRATION",
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+    "6": "I-AGE",
+    "7": "I-AREA",
+    "8": "B-AREA",
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+    "10": "I-BIOLOGICAL_ATTRIBUTE",
+    "11": "I-BIOLOGICAL_STRUCTURE",
+    "12": "B-BIOLOGICAL_STRUCTURE",
+    "13": "B-CLINICAL_EVENT",
+    "14": "I-CLINICAL_EVENT",
+    "15": "B-COLOR",
+    "16": "I-COLOR",
+    "17": "I-COREFERENCE",
+    "18": "B-COREFERENCE",
+    "19": "B-DATE",
+    "20": "I-DATE",
+    "21": "I-DETAILED_DESCRIPTION",
+    "22": "B-DETAILED_DESCRIPTION",
+    "23": "I-DIAGNOSTIC_PROCEDURE",
+    "24": "B-DIAGNOSTIC_PROCEDURE",
+    "25": "I-DISEASE_DISORDER",
+    "26": "B-DISEASE_DISORDER",
+    "27": "B-DISTANCE",
+    "28": "I-DISTANCE",
+    "29": "B-DOSAGE",
+    "30": "I-DOSAGE",
+    "31": "I-DURATION",
+    "32": "B-DURATION",
+    "33": "I-FAMILY_HISTORY",
+    "34": "B-FAMILY_HISTORY",
+    "35": "B-FREQUENCY",
+    "36": "I-FREQUENCY",
+    "37": "I-HEIGHT",
+    "38": "B-HEIGHT",
+    "39": "B-HISTORY",
+    "40": "I-HISTORY",
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+    "42": "B-LAB_VALUE",
+    "43": "I-MASS",
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+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
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+  "num_hidden_layers": 12,
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+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 768,
+  "pos_att_type": [
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+  "position_biased_input": false,
+  "position_buckets": 256,
+  "relative_attention": true,
+  "share_att_key": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.30.0",
+  "type_vocab_size": 0,
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pytorch_model.bin

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runs/Apr02_02-44-19_a0189cfc8522/events.out.tfevents.1712026018.a0189cfc8522.3723.0

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special_tokens_map.json

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tokenizer_config.json

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+  "tokenizer_class": "DebertaV2Tokenizer",
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+}

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