Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "google-bert/bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "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": "Shopping",
+    "1": "Food and Drinks",
+    "2": "Others (Out)",
+    "3": "Wallet Transfer (Out)",
+    "4": "Transport",
+    "5": "Home expenses",
+    "6": "Donations",
+    "7": "Grocery",
+    "8": "Lifestyle and Travel",
+    "9": "Rent",
+    "10": "Health and Fitness",
+    "11": "Credit Card Bill",
+    "12": "Loan EMI",
+    "13": "Education",
+    "14": "Family and Friends (Out)",
+    "15": "Investment"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Credit Card Bill": 11,
+    "Donations": 6,
+    "Education": 13,
+    "Family and Friends (Out)": 14,
+    "Food and Drinks": 1,
+    "Grocery": 7,
+    "Health and Fitness": 10,
+    "Home expenses": 5,
+    "Investment": 15,
+    "Lifestyle and Travel": 8,
+    "Loan EMI": 12,
+    "Others (Out)": 2,
+    "Rent": 9,
+    "Shopping": 0,
+    "Transport": 4,
+    "Wallet Transfer (Out)": 3
+  },
+  "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",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+size 438001712

runs/Jul19_08-37-44_b307843ece13/events.out.tfevents.1721378288.b307843ece13.176.0

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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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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "103": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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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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