End of training

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "Account Closure,No Second Intent",
+    "1": "Charges Reversal/Annual Membership Fee,Account closure",
+    "2": "Charges Reversal/Annual Membership Fee,No Second Intent",
+    "3": "Flexipay/Others,No Second Intent",
+    "4": "Payment Inquiry Related,No Second Intent",
+    "5": "Reward Points Redemption/Request for Redemption,No Second Intent",
+    "6": "Statement Related Issues/Statement Calculation/Clarification,No Second Intent"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "Account Closure,No Second Intent": 0,
+    "Charges Reversal/Annual Membership Fee,Account closure": 1,
+    "Charges Reversal/Annual Membership Fee,No Second Intent": 2,
+    "Flexipay/Others,No Second Intent": 3,
+    "Payment Inquiry Related,No Second Intent": 4,
+    "Reward Points Redemption/Request for Redemption,No Second Intent": 5,
+    "Statement Related Issues/Statement Calculation/Clarification,No Second Intent": 6
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.3",
+  "vocab_size": 30522
+}

pytorch_model.bin

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special_tokens_map.json

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

training_args.bin

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