Training in progress, step 500

.gitignore

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config.json

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+{
+  "_name_or_path": "ckiplab/bert-base-chinese-ner",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
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+  "directionality": "bidi",
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+  "hidden_act": "gelu",
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+  "hidden_size": 768,
+  "id2label": {
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+    "1": "I-AUTHOR",
+    "2": "B-PUBYEAR",
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+    "4": "B-TITLE",
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+    "6": "B-SOURCE",
+    "7": "I-SOURCE",
+    "8": "B-SPAGE",
+    "9": "I-SPAGE",
+    "10": "O"
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+    "B-SPAGE": 8,
+    "B-TITLE": 4,
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+    "I-PUBYEAR": 3,
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+    "I-TITLE": 5,
+    "O": 10
+  },
+  "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",
+  "tokenizer_class": "BertTokenizerFast",
+  "torch_dtype": "float32",
+  "transformers_version": "4.20.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 21128
+}

pytorch_model.bin

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runs/Mar01_14-54-51_tensorflow05/1677653726.2663422/events.out.tfevents.1677653726.tensorflow05.15656.4

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

training_args.bin

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