Training complete

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: BioMedical_NER-maccrobat-bert
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# BioMedical_NER-maccrobat-bert
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "bert-base-uncased",
+  "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": "O",
+    "1": "B-Activity",
+    "2": "B-Administration",
+    "3": "B-Age",
+    "4": "B-Area",
+    "5": "B-Biological_attribute",
+    "6": "B-Biological_structure",
+    "7": "B-Clinical_event",
+    "8": "B-Color",
+    "9": "B-Coreference",
+    "10": "B-Date",
+    "11": "B-Detailed_description",
+    "12": "B-Diagnostic_procedure",
+    "13": "B-Disease_disorder",
+    "14": "B-Distance",
+    "15": "B-Dosage",
+    "16": "B-Duration",
+    "17": "B-Family_history",
+    "18": "B-Frequency",
+    "19": "B-Height",
+    "20": "B-History",
+    "21": "B-Lab_value",
+    "22": "B-Mass",
+    "23": "B-Medication",
+    "24": "B-Nonbiological_location",
+    "25": "B-Occupation",
+    "26": "B-Other_entity",
+    "27": "B-Other_event",
+    "28": "B-Outcome",
+    "29": "B-Personal_background",
+    "30": "B-Qualitative_concept",
+    "31": "B-Quantitative_concept",
+    "32": "B-Severity",
+    "33": "B-Sex",
+    "34": "B-Shape",
+    "35": "B-Sign_symptom",
+    "36": "B-Subject",
+    "37": "B-Texture",
+    "38": "B-Therapeutic_procedure",
+    "39": "B-Time",
+    "40": "B-Volume",
+    "41": "B-Weight",
+    "42": "I-Activity",
+    "43": "I-Administration",
+    "44": "I-Age",
+    "45": "I-Area",
+    "46": "I-Biological_attribute",
+    "47": "I-Biological_structure",
+    "48": "I-Clinical_event",
+    "49": "I-Color",
+    "50": "I-Coreference",
+    "51": "I-Date",
+    "52": "I-Detailed_description",
+    "53": "I-Diagnostic_procedure",
+    "54": "I-Disease_disorder",
+    "55": "I-Distance",
+    "56": "I-Dosage",
+    "57": "I-Duration",
+    "58": "I-Family_history",
+    "59": "I-Frequency",
+    "60": "I-Height",
+    "61": "I-History",
+    "62": "I-Lab_value",
+    "63": "I-Mass",
+    "64": "I-Medication",
+    "65": "I-Nonbiological_location",
+    "66": "I-Occupation",
+    "67": "I-Other_entity",
+    "68": "I-Other_event",
+    "69": "I-Outcome",
+    "70": "I-Personal_background",
+    "71": "I-Qualitative_concept",
+    "72": "I-Quantitative_concept",
+    "73": "I-Severity",
+    "74": "I-Shape",
+    "75": "I-Sign_symptom",
+    "76": "I-Subject",
+    "77": "I-Texture",
+    "78": "I-Therapeutic_procedure",
+    "79": "I-Time",
+    "80": "I-Volume",
+    "81": "I-Weight"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-Activity": 1,
+    "B-Administration": 2,
+    "B-Age": 3,
+    "B-Area": 4,
+    "B-Biological_attribute": 5,
+    "B-Biological_structure": 6,
+    "B-Clinical_event": 7,
+    "B-Color": 8,
+    "B-Coreference": 9,
+    "B-Date": 10,
+    "B-Detailed_description": 11,
+    "B-Diagnostic_procedure": 12,
+    "B-Disease_disorder": 13,
+    "B-Distance": 14,
+    "B-Dosage": 15,
+    "B-Duration": 16,
+    "B-Family_history": 17,
+    "B-Frequency": 18,
+    "B-Height": 19,
+    "B-History": 20,
+    "B-Lab_value": 21,
+    "B-Mass": 22,
+    "B-Medication": 23,
+    "B-Nonbiological_location": 24,
+    "B-Occupation": 25,
+    "B-Other_entity": 26,
+    "B-Other_event": 27,
+    "B-Outcome": 28,
+    "B-Personal_background": 29,
+    "B-Qualitative_concept": 30,
+    "B-Quantitative_concept": 31,
+    "B-Severity": 32,
+    "B-Sex": 33,
+    "B-Shape": 34,
+    "B-Sign_symptom": 35,
+    "B-Subject": 36,
+    "B-Texture": 37,
+    "B-Therapeutic_procedure": 38,
+    "B-Time": 39,
+    "B-Volume": 40,
+    "B-Weight": 41,
+    "I-Activity": 42,
+    "I-Administration": 43,
+    "I-Age": 44,
+    "I-Area": 45,
+    "I-Biological_attribute": 46,
+    "I-Biological_structure": 47,
+    "I-Clinical_event": 48,
+    "I-Color": 49,
+    "I-Coreference": 50,
+    "I-Date": 51,
+    "I-Detailed_description": 52,
+    "I-Diagnostic_procedure": 53,
+    "I-Disease_disorder": 54,
+    "I-Distance": 55,
+    "I-Dosage": 56,
+    "I-Duration": 57,
+    "I-Family_history": 58,
+    "I-Frequency": 59,
+    "I-Height": 60,
+    "I-History": 61,
+    "I-Lab_value": 62,
+    "I-Mass": 63,
+    "I-Medication": 64,
+    "I-Nonbiological_location": 65,
+    "I-Occupation": 66,
+    "I-Other_entity": 67,
+    "I-Other_event": 68,
+    "I-Outcome": 69,
+    "I-Personal_background": 70,
+    "I-Qualitative_concept": 71,
+    "I-Quantitative_concept": 72,
+    "I-Severity": 73,
+    "I-Shape": 74,
+    "I-Sign_symptom": 75,
+    "I-Subject": 76,
+    "I-Texture": 77,
+    "I-Therapeutic_procedure": 78,
+    "I-Time": 79,
+    "I-Volume": 80,
+    "I-Weight": 81,
+    "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": "4.32.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

pytorch_model.bin

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+size 435886569

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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+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 4091