Model save

README.md

@@ -3,11 +3,6 @@ license: mit
 base_model: Clinical-AI-Apollo/Medical-NER
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: Medical-NER-finetuned-ner
   results: []
@@ -19,12 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # Medical-NER-finetuned-ner
 
 This model is a fine-tuned version of [Clinical-AI-Apollo/Medical-NER](https://huggingface.co/Clinical-AI-Apollo/Medical-NER) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.2030
-- Precision: 0.9543
-- Recall: 0.9462
-- F1: 0.9502
-- Accuracy: 0.9453
 
 ## Model description
 
@@ -44,20 +33,19 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 6
+- train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 6
-
-### Training results
-
-
+- num_epochs: 5
+- mixed_precision_training: Native AMP
 
 ### Framework versions
 
-- Transformers 4.39.2
-- Pytorch 1.12.1+cu102
-- Datasets 2.18.0
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.19.0
 - Tokenizers 0.15.2

added_tokens.json

@@ -0,0 +1,3 @@
+{
+  "[MASK]": 128000
+}

config.json

@@ -8,176 +8,20 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "O",
-    "1": "B-ACTIVITY",
-    "2": "I-ACTIVITY",
-    "3": "I-ADMINISTRATION",
-    "4": "B-ADMINISTRATION",
-    "5": "B-AGE",
-    "6": "I-AGE",
-    "7": "I-AREA",
-    "8": "B-AREA",
-    "9": "B-BIOLOGICAL_ATTRIBUTE",
-    "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",
-    "41": "I-LAB_VALUE",
-    "42": "B-LAB_VALUE",
-    "43": "I-MASS",
-    "44": "B-MASS",
-    "45": "I-MEDICATION",
-    "46": "B-MEDICATION",
-    "47": "I-NONBIOLOGICAL_LOCATION",
-    "48": "B-NONBIOLOGICAL_LOCATION",
-    "49": "I-OCCUPATION",
-    "50": "B-OCCUPATION",
-    "51": "B-OTHER_ENTITY",
-    "52": "I-OTHER_ENTITY",
-    "53": "B-OTHER_EVENT",
-    "54": "I-OTHER_EVENT",
-    "55": "I-OUTCOME",
-    "56": "B-OUTCOME",
-    "57": "I-PERSONAL_BACKGROUND",
-    "58": "B-PERSONAL_BACKGROUND",
-    "59": "B-QUALITATIVE_CONCEPT",
-    "60": "I-QUALITATIVE_CONCEPT",
-    "61": "I-QUANTITATIVE_CONCEPT",
-    "62": "B-QUANTITATIVE_CONCEPT",
-    "63": "B-SEVERITY",
-    "64": "I-SEVERITY",
-    "65": "B-SEX",
-    "66": "I-SEX",
-    "67": "B-SHAPE",
-    "68": "I-SHAPE",
-    "69": "B-SIGN_SYMPTOM",
-    "70": "I-SIGN_SYMPTOM",
-    "71": "B-SUBJECT",
-    "72": "I-SUBJECT",
-    "73": "B-TEXTURE",
-    "74": "I-TEXTURE",
-    "75": "B-THERAPEUTIC_PROCEDURE",
-    "76": "I-THERAPEUTIC_PROCEDURE",
-    "77": "I-TIME",
-    "78": "B-TIME",
-    "79": "B-VOLUME",
-    "80": "I-VOLUME",
-    "81": "I-WEIGHT",
-    "82": "B-WEIGHT"
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "B-ACTIVITY": 1,
-    "B-ADMINISTRATION": 4,
-    "B-AGE": 5,
-    "B-AREA": 8,
-    "B-BIOLOGICAL_ATTRIBUTE": 9,
-    "B-BIOLOGICAL_STRUCTURE": 12,
-    "B-CLINICAL_EVENT": 13,
-    "B-COLOR": 15,
-    "B-COREFERENCE": 18,
-    "B-DATE": 19,
-    "B-DETAILED_DESCRIPTION": 22,
-    "B-DIAGNOSTIC_PROCEDURE": 24,
-    "B-DISEASE_DISORDER": 26,
-    "B-DISTANCE": 27,
-    "B-DOSAGE": 29,
-    "B-DURATION": 32,
-    "B-FAMILY_HISTORY": 34,
-    "B-FREQUENCY": 35,
-    "B-HEIGHT": 38,
-    "B-HISTORY": 39,
-    "B-LAB_VALUE": 42,
-    "B-MASS": 44,
-    "B-MEDICATION": 46,
-    "B-NONBIOLOGICAL_LOCATION": 48,
-    "B-OCCUPATION": 50,
-    "B-OTHER_ENTITY": 51,
-    "B-OTHER_EVENT": 53,
-    "B-OUTCOME": 56,
-    "B-PERSONAL_BACKGROUND": 58,
-    "B-QUALITATIVE_CONCEPT": 59,
-    "B-QUANTITATIVE_CONCEPT": 62,
-    "B-SEVERITY": 63,
-    "B-SEX": 65,
-    "B-SHAPE": 67,
-    "B-SIGN_SYMPTOM": 69,
-    "B-SUBJECT": 71,
-    "B-TEXTURE": 73,
-    "B-THERAPEUTIC_PROCEDURE": 75,
-    "B-TIME": 78,
-    "B-VOLUME": 79,
-    "B-WEIGHT": 82,
-    "I-ACTIVITY": 2,
-    "I-ADMINISTRATION": 3,
-    "I-AGE": 6,
-    "I-AREA": 7,
-    "I-BIOLOGICAL_ATTRIBUTE": 10,
-    "I-BIOLOGICAL_STRUCTURE": 11,
-    "I-CLINICAL_EVENT": 14,
-    "I-COLOR": 16,
-    "I-COREFERENCE": 17,
-    "I-DATE": 20,
-    "I-DETAILED_DESCRIPTION": 21,
-    "I-DIAGNOSTIC_PROCEDURE": 23,
-    "I-DISEASE_DISORDER": 25,
-    "I-DISTANCE": 28,
-    "I-DOSAGE": 30,
-    "I-DURATION": 31,
-    "I-FAMILY_HISTORY": 33,
-    "I-FREQUENCY": 36,
-    "I-HEIGHT": 37,
-    "I-HISTORY": 40,
-    "I-LAB_VALUE": 41,
-    "I-MASS": 43,
-    "I-MEDICATION": 45,
-    "I-NONBIOLOGICAL_LOCATION": 47,
-    "I-OCCUPATION": 49,
-    "I-OTHER_ENTITY": 52,
-    "I-OTHER_EVENT": 54,
-    "I-OUTCOME": 55,
-    "I-PERSONAL_BACKGROUND": 57,
-    "I-QUALITATIVE_CONCEPT": 60,
-    "I-QUANTITATIVE_CONCEPT": 61,
-    "I-SEVERITY": 64,
-    "I-SEX": 66,
-    "I-SHAPE": 68,
-    "I-SIGN_SYMPTOM": 70,
-    "I-SUBJECT": 72,
-    "I-TEXTURE": 74,
-    "I-THERAPEUTIC_PROCEDURE": 76,
-    "I-TIME": 77,
-    "I-VOLUME": 80,
-    "I-WEIGHT": 81,
-    "O": 0
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
   },
   "layer_norm_eps": 1e-07,
   "max_position_embeddings": 512,
@@ -199,7 +43,7 @@
   "relative_attention": true,
   "share_att_key": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.39.2",
+  "transformers_version": "4.39.3",
   "type_vocab_size": 0,
   "vocab_size": 128100
 }

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