Training in progress, epoch 1

.gitignore

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+checkpoint-*/

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-CARDINAL",
+    "2": "I-CARDINAL",
+    "3": "B-DATE",
+    "4": "I-DATE",
+    "5": "B-EVENT",
+    "6": "I-EVENT",
+    "7": "B-FAC",
+    "8": "I-FAC",
+    "9": "B-GPE",
+    "10": "I-GPE",
+    "11": "B-LANGUAGE",
+    "12": "B-LAW",
+    "13": "I-LAW",
+    "14": "B-LOC",
+    "15": "I-LOC",
+    "16": "B-MONEY",
+    "17": "I-MONEY",
+    "18": "B-NORP",
+    "19": "I-NORP",
+    "20": "B-ORDINAL",
+    "21": "B-ORG",
+    "22": "I-ORG",
+    "23": "B-PERCENT",
+    "24": "I-PERCENT",
+    "25": "B-PERSON",
+    "26": "I-PERSON",
+    "27": "B-PRODUCT",
+    "28": "I-PRODUCT",
+    "29": "B-QUANTITY",
+    "30": "I-QUANTITY",
+    "31": "B-TIME",
+    "32": "I-TIME",
+    "33": "B-WORK_OF_ART",
+    "34": "I-WORK_OF_ART"
+  },
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+  "intermediate_size": 3072,
+  "label2id": {
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+    "B-DATE": 3,
+    "B-EVENT": 5,
+    "B-FAC": 7,
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+    "B-MONEY": 16,
+    "B-NORP": 18,
+    "B-ORDINAL": 20,
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+    "I-EVENT": 6,
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+    "I-LOC": 15,
+    "I-MONEY": 17,
+    "I-NORP": 19,
+    "I-ORG": 22,
+    "I-PERCENT": 24,
+    "I-PERSON": 26,
+    "I-PRODUCT": 28,
+    "I-QUANTITY": 30,
+    "I-TIME": 32,
+    "I-WORK_OF_ART": 34,
+    "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": "4.30.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

pytorch_model.bin

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runs/Jul03_21-10-29_97e524044fcd/events.out.tfevents.1688418634.97e524044fcd.1743.0

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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": 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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