first model version

README.md

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 ---
 license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: macbert-finetuned-ner-drugname
+  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. -->
+
+# macbert-finetuned-ner-drugname
+
+This model is a fine-tuned version of [shibing624/macbert4csc-base-chinese](https://huggingface.co/shibing624/macbert4csc-base-chinese) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0195
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0.0
+- Accuracy: 0.9971
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Precision | Recall | F1  | Accuracy |
+|:-------------:|:-----:|:------:|:---------------:|:---------:|:------:|:---:|:--------:|
+| 0.0083        | 1.0   | 15362  | 0.0108          | 0.0       | 0.0    | 0.0 | 0.9964   |
+| 0.0053        | 2.0   | 30724  | 0.0116          | 0.0       | 0.0    | 0.0 | 0.9963   |
+| 0.0037        | 3.0   | 46086  | 0.0091          | 0.0       | 0.0    | 0.0 | 0.9977   |
+| 0.0022        | 4.0   | 61448  | 0.0112          | 0.0       | 0.0    | 0.0 | 0.9975   |
+| 0.0017        | 5.0   | 76810  | 0.0150          | 0.0       | 0.0    | 0.0 | 0.9970   |
+| 0.0008        | 6.0   | 92172  | 0.0175          | 0.0       | 0.0    | 0.0 | 0.9971   |
+| 0.0005        | 7.0   | 107534 | 0.0172          | 0.0       | 0.0    | 0.0 | 0.9971   |
+| 0.0002        | 8.0   | 122896 | 0.0195          | 0.0       | 0.0    | 0.0 | 0.9971   |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.10.1+cu113
+- Datasets 1.17.0
+- Tokenizers 0.10.3

added_tokens.json

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+{"##皲": 21158, "##癃": 21161, "##蚧": 21155, "##哚": 21169, "##蒺": 21156, "疬": 21142, "##氘": 21153, "茇": 21129, "##莨": 21159, "##瘰": 21162, "##酞": 21166, "缬": 21146, "##濞": 21152, "瘰": 21141, "##疬": 21163, "##吲": 21168, "吲": 21147, "##肼": 21157, "##砜": 21154, "##茇": 21150, "莨": 21138, "巯": 21144, "蚧": 21134, "荜": 21128, "哚": 21148, "##礞": 21164, "##荜": 21149, "砜": 21133, "礞": 21143, "肼": 21136, "癃": 21140, "濞": 21131, "##缬": 21167, "铋": 21130, "##巯": 21165, "氘": 21132, "菪": 21139, "皲": 21137, "##铋": 21151, "蒺": 21135, "##菪": 21160, "酞": 21145}

config.json

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+{
+  "_name_or_path": "shibing624/macbert4csc-base-chinese",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "finetuning_task": "ner",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": 0,
+    "1": 1,
+    "2": 2
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "0": 0,
+    "1": 1,
+    "2": 2
+  },
+  "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": "4.15.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 21170
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ea880e5f75542569dfb660af06f3eb72ef098830654c022daaeef8ece3dc1dca
+size 406929905

special_tokens_map.json

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

tokenizer_config.json

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+{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "do_basic_tokenize": true, "never_split": null, "name_or_path": "shibing624/macbert4csc-base-chinese", "special_tokens_map_file": "cache\\5559a99a8a2784cef7bf4784ffdb8f0ec2df952f0ca49d9aa3c7f46530fbc8ef.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "tokenizer_class": "BertTokenizer"}