Training in progress, epoch 0

.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": "E-Commerce",
+    "1": "Sports",
+    "2": "News",
+    "3": "Travel",
+    "4": "Food",
+    "5": "Adult",
+    "6": "Games",
+    "7": "Law and Government",
+    "8": "Forums",
+    "9": "Streaming Services",
+    "10": "Computers and Technology",
+    "11": "Business/Corporate",
+    "12": "Education",
+    "13": "Health and Fitness",
+    "14": "Social Networking and Messaging",
+    "15": "Photography"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "Adult": 5,
+    "Business/Corporate": 11,
+    "Computers and Technology": 10,
+    "E-Commerce": 0,
+    "Education": 12,
+    "Food": 4,
+    "Forums": 8,
+    "Games": 6,
+    "Health and Fitness": 13,
+    "Law and Government": 7,
+    "News": 2,
+    "Photography": 15,
+    "Social Networking and Messaging": 14,
+    "Sports": 1,
+    "Streaming Services": 9,
+    "Travel": 3
+  },
+  "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": "4.31.0",
+  "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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+{
+  "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": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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