Training in progress, step 500

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForTokenClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "O",
+    "1": "B-MISC",
+    "10": "I-Issuer",
+    "11": "B-Card Name",
+    "12": "I-Card Name",
+    "13": "B-Jurisdiction",
+    "14": "I-Jurisdiction",
+    "15": "B-Interest Rate",
+    "16": "I-Interest Rate",
+    "2": "I-MISC",
+    "3": "B-PER",
+    "4": "I-PER",
+    "5": "B-ORG",
+    "6": "I-ORG",
+    "7": "B-LOC",
+    "8": "I-LOC",
+    "9": "B-Issuer"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "B-Card Name": "11",
+    "B-Interest Rate": "15",
+    "B-Issuer": "9",
+    "B-Jurisdiction": "13",
+    "B-LOC": "7",
+    "B-MISC": "1",
+    "B-ORG": "5",
+    "B-PER": "3",
+    "I-Card Name": "12",
+    "I-Interest Rate": "16",
+    "I-Issuer": "10",
+    "I-Jurisdiction": "14",
+    "I-LOC": "8",
+    "I-MISC": "2",
+    "I-ORG": "6",
+    "I-PER": "4",
+    "O": "0"
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.18.0",
+  "vocab_size": 30522
+}

pytorch_model.bin

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special_tokens_map.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

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+{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "distilbert-base-uncased", "tokenizer_class": "DistilBertTokenizer"}

training_args.bin

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