End of training

README.md

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+---
+language:
+- vi
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-base-multilingual-cased_baseline_words
+  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. -->
+
+# bert-base-multilingual-cased_baseline_words
+
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the covid19_ner dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0998
+- Patient Id: 0.9840
+- Name: 0.9182
+- Gender: 0.9623
+- Age: 0.9725
+- Job: 0.7799
+- Location: 0.9501
+- Organization: 0.8965
+- Date: 0.9869
+- Symptom And Disease: 0.8626
+- Transportation: 0.9885
+- F1 Macro: 0.9302
+- F1 Micro: 0.9466
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Patient Id | Name   | Gender | Age    | Job    | Location | Organization | Date   | Symptom And Disease | Transportation | F1 Macro | F1 Micro |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:------:|:------:|:------:|:--------:|:------------:|:------:|:-------------------:|:--------------:|:--------:|:--------:|
+| 0.1996        | 1.0   | 629  | 0.1207          | 0.9728     | 0.8997 | 0.8414 | 0.9018 | 0.5020 | 0.9030   | 0.7496       | 0.9847 | 0.8064              | 0.9053         | 0.8467   | 0.8959   |
+| 0.0584        | 2.0   | 1258 | 0.0978          | 0.9793     | 0.9101 | 0.9476 | 0.9726 | 0.5044 | 0.9380   | 0.8738       | 0.9860 | 0.8433              | 0.9091         | 0.8864   | 0.9319   |
+| 0.0344        | 3.0   | 1887 | 0.0925          | 0.9776     | 0.9125 | 0.9455 | 0.9766 | 0.7216 | 0.9417   | 0.8665       | 0.9865 | 0.8634              | 0.9655         | 0.9157   | 0.9383   |
+| 0.0222        | 4.0   | 2516 | 0.0971          | 0.9836     | 0.9178 | 0.9556 | 0.9739 | 0.7442 | 0.9493   | 0.8883       | 0.9865 | 0.8579              | 0.9943         | 0.9251   | 0.9443   |
+| 0.0147        | 5.0   | 3145 | 0.0998          | 0.9840     | 0.9182 | 0.9623 | 0.9725 | 0.7799 | 0.9501   | 0.8965       | 0.9869 | 0.8626              | 0.9885         | 0.9302   | 0.9466   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "google-bert/bert-base-multilingual-cased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-PATIENT_ID",
+    "2": "I-PATIENT_ID",
+    "3": "B-NAME",
+    "4": "I-NAME",
+    "5": "B-GENDER",
+    "6": "I-GENDER",
+    "7": "B-AGE",
+    "8": "I-AGE",
+    "9": "B-JOB",
+    "10": "I-JOB",
+    "11": "B-LOCATION",
+    "12": "I-LOCATION",
+    "13": "B-ORGANIZATION",
+    "14": "I-ORGANIZATION",
+    "15": "B-DATE",
+    "16": "I-DATE",
+    "17": "B-SYMPTOM_AND_DISEASE",
+    "18": "I-SYMPTOM_AND_DISEASE",
+    "19": "B-TRANSPORTATION",
+    "20": "I-TRANSPORTATION"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-AGE": 7,
+    "B-DATE": 15,
+    "B-GENDER": 5,
+    "B-JOB": 9,
+    "B-LOCATION": 11,
+    "B-NAME": 3,
+    "B-ORGANIZATION": 13,
+    "B-PATIENT_ID": 1,
+    "B-SYMPTOM_AND_DISEASE": 17,
+    "B-TRANSPORTATION": 19,
+    "I-AGE": 8,
+    "I-DATE": 16,
+    "I-GENDER": 6,
+    "I-JOB": 10,
+    "I-LOCATION": 12,
+    "I-NAME": 4,
+    "I-ORGANIZATION": 14,
+    "I-PATIENT_ID": 2,
+    "I-SYMPTOM_AND_DISEASE": 18,
+    "I-TRANSPORTATION": 20,
+    "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,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 119547
+}

model.safetensors

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+oid sha256:6a726ad5102177ef8b0f174aeb445ba59215ecc65c8cee634740c7640ae9da16
+size 709139348

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": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "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 5240