Training in progress, epoch 1

.gitignore

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config.json

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+{
+ "_name_or_path": "bert-base-cased",
+ "architectures": [
+ "BertForTokenClassification"
+ ],
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+ "id2label": {
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+ "1": "B-PER",
+ "2": "I-PER",
+ "3": "B-ORG",
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+ "5": "B-LOC",
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+ "label2id": {
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+ "B-PER": 1,
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+ "I-ORG": 4,
+ "I-PER": 2,
+ "O": 0
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+ "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": "4.29.2",
+ "type_vocab_size": 2,
+ "use_cache": true,
+ "vocab_size": 28996
+}

pytorch_model.bin

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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,
+ "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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