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-MethodName",
+    "2": "I-MethodName",
+    "3": "B-HyperparameterName",
+    "4": "I-HyperparameterName",
+    "5": "B-HyperparameterValue",
+    "6": "I-HyperparameterValue",
+    "7": "B-MetricName",
+    "8": "I-MetricName",
+    "9": "B-MetricValue",
+    "10": "I-MetricValue",
+    "11": "B-TaskName",
+    "12": "I-TaskName",
+    "13": "B-DatasetName",
+    "14": "I-DatasetName"
+  },
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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,
+    "I-DatasetName": 14,
+    "I-HyperparameterName": 4,
+    "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": 30522
+}

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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+{
+  "add_prefix_space": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "name_or_path": "bert-base-uncased",
+  "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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