Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "prajjwal1/bert-mini",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 256,
+  "id2label": {
+    "0": "category",
+    "1": "news",
+    "2": "sports",
+    "3": "finance",
+    "4": "video",
+    "5": "travel",
+    "6": "foodanddrink",
+    "7": "lifestyle",
+    "8": "weather",
+    "9": "health",
+    "10": "autos",
+    "11": "music",
+    "12": "tv",
+    "13": "movies",
+    "14": "entertainment",
+    "15": "kids",
+    "16": "middleeast",
+    "17": "games",
+    "18": "northamerica"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 1024,
+  "label2id": {
+    "autos": 10,
+    "category": 0,
+    "entertainment": 14,
+    "finance": 3,
+    "foodanddrink": 6,
+    "games": 17,
+    "health": 9,
+    "kids": 15,
+    "lifestyle": 7,
+    "middleeast": 16,
+    "movies": 13,
+    "music": 11,
+    "news": 1,
+    "northamerica": 18,
+    "sports": 2,
+    "travel": 5,
+    "tv": 12,
+    "video": 4,
+    "weather": 8
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 4,
+  "num_hidden_layers": 4,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+oid sha256:f3c4f44f22f976b27b2f173f70397df7fc9e74c6dd051ed5f95e83c213c74443
+size 44710084

runs/Dec02_06-04-11_4629d11f3432/events.out.tfevents.1733119453.4629d11f3432.23.0

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+size 9936

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,
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "102": {
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+      "lstrip": false,
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+      "rstrip": false,
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+      "special": true
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+    "103": {
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "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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