Training in progress, epoch 1

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+vocab.txt filter=lfs diff=lfs merge=lfs -text

config.json

@@ -0,0 +1,148 @@
+{
+  "_name_or_path": "imvladikon/alephbertgimmel-base-512",
+  "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": {
+    "0": "TEST",
+    "1": "OTHER",
+    "2": "ANATOMY",
+    "3": "REFERRAL",
+    "4": "MEDICAL_PROCEDURE",
+    "5": "PROTECTED_HEALTH_INFORMATION_EMAIL",
+    "6": "SYMPTOM",
+    "7": "PULSE",
+    "8": "PROTECTED_HEALTH_INFORMATION_PROFESSION",
+    "9": "PHYSICAL_EXAM",
+    "10": "RISK_FACTOR",
+    "11": "PROTECTED_HEALTH_INFORMATION_GENDER",
+    "12": "MEDICATION",
+    "13": "0",
+    "14": "TREATMENT",
+    "15": "VITAL_SIGN",
+    "16": "MEDICAL_HISTORY",
+    "17": "STAGE",
+    "18": "MEDICAL_EXAM",
+    "19": "FOLLOW_UP",
+    "20": "CLINICAL_FINDINGS",
+    "21": "DOSAGE",
+    "22": "MEASUREMENT",
+    "23": "PROTECTED_HEALTH_INFORMATION_PHONE_NUMBER",
+    "24": "LAB_FINDING",
+    "25": "NEXT_VISIT",
+    "26": "DURATION",
+    "27": "QUANTITY",
+    "28": "ALLERGIES",
+    "29": "PROGNOSIS",
+    "30": "DIAGNOSIS",
+    "31": "EXAMINATION",
+    "32": "FREQUENCY",
+    "33": "OBSERVATION",
+    "34": "AFFECTED_BODY_PARTS",
+    "35": "TEMPERATURE",
+    "36": "LIFESTYLE",
+    "37": "ONSET",
+    "38": "PROTECTED_HEALTH_INFORMATION_MEDICAL_RECORD",
+    "39": "PROTECTED_HEALTH_INFORMATION_NAME",
+    "40": "BLOOD_PRESSURE",
+    "41": "IMAGING",
+    "42": "RECOMMENDATION",
+    "43": "PROTECTED_HEALTH_INFORMATION_AGE",
+    "44": "HEART_RATE",
+    "45": "FINDINGS",
+    "46": "GENDER",
+    "47": "OUTCOME",
+    "48": "FAMILY_HISTORY",
+    "49": "MEDICAL_DEVICE",
+    "50": "SPECIALIST",
+    "51": "BLOOD_SUGAR",
+    "52": "OTHER_DATES",
+    "53": "RESPIRATORY_RATE",
+    "54": "MEDICAL_CONDITION",
+    "55": "PROCEDURE",
+    "56": "DEMOGRAPHICS",
+    "57": "PROTECTED_HEALTH_INFORMATION_DATE",
+    "58": "PROTECTED_HEALTH_INFORMATION_LOCATION"
+  },
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+    "DURATION": 26,
+    "EXAMINATION": 31,
+    "FAMILY_HISTORY": 48,
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+    "FOLLOW_UP": 19,
+    "FREQUENCY": 32,
+    "GENDER": 46,
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+    "IMAGING": 41,
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+    "LIFESTYLE": 36,
+    "MEASUREMENT": 22,
+    "MEDICAL_CONDITION": 54,
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+    "MEDICAL_HISTORY": 16,
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+    "OUTCOME": 47,
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+    "PROGNOSIS": 29,
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+    "PROTECTED_HEALTH_INFORMATION_DATE": 57,
+    "PROTECTED_HEALTH_INFORMATION_EMAIL": 5,
+    "PROTECTED_HEALTH_INFORMATION_GENDER": 11,
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+    "STAGE": 17,
+    "SYMPTOM": 6,
+    "TEMPERATURE": 35,
+    "TEST": 0,
+    "TREATMENT": 14,
+    "VITAL_SIGN": 15
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+  "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": "4.34.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 128000
+}

pytorch_model.bin

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special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "max_length": 512,
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation": true,
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 4091

vocab.txt

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