Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "bert-base-cased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
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+    "10": "I-MetricValue",
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+    "14": "I-DatasetName",
+    "2": "I-MethodName",
+    "3": "B-HyperparameterName",
+    "4": "I-HyperparameterName",
+    "5": "B-HyperparameterValue",
+    "6": "I-HyperparameterValue",
+    "7": "B-MetricName",
+    "8": "I-MetricName",
+    "9": "B-MetricValue"
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+  "intermediate_size": 3072,
+  "label2id": {
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+    "B-HyperparameterName": "3",
+    "B-HyperparameterValue": "5",
+    "B-MethodName": "1",
+    "B-MetricName": "7",
+    "B-MetricValue": "9",
+    "B-TaskName": "11",
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+    "I-HyperparameterValue": "6",
+    "I-MethodName": "2",
+    "I-MetricName": "8",
+    "I-MetricValue": "10",
+    "I-TaskName": "12",
+    "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": "4.23.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

pytorch_model.bin

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runs/Oct25_22-53-43_dedde6ee0693/1666738437.9544535/events.out.tfevents.1666738437.dedde6ee0693.76.1

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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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+{
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "name_or_path": "bert-base-cased",
+  "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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