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": "C\u00f4ng ngh\u1ec7",
+    "1": "Gi\u00e1o d\u1ee5c",
+    "10": "Xe c\u1ed9",
+    "11": "X\u00e3 h\u1ed9i",
+    "12": "\u0110\u1eddi s\u1ed1ng",
+    "2": "Gi\u1ea3i tr\u00ed",
+    "3": "Khoa h\u1ecdc",
+    "4": "Kinh t\u1ebf",
+    "5": "Nh\u00e0 \u0111\u1ea5t",
+    "6": "Ph\u00e1p lu\u1eadt",
+    "7": "Th\u1ebf gi\u1edbi",
+    "8": "Th\u1ec3 thao",
+    "9": "V\u0103n h\u00f3a"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "C\u00f4ng ngh\u1ec7": "0",
+    "Gi\u00e1o d\u1ee5c": "1",
+    "Gi\u1ea3i tr\u00ed": "2",
+    "Khoa h\u1ecdc": "3",
+    "Kinh t\u1ebf": "4",
+    "Nh\u00e0 \u0111\u1ea5t": "5",
+    "Ph\u00e1p lu\u1eadt": "6",
+    "Th\u1ebf gi\u1edbi": "7",
+    "Th\u1ec3 thao": "8",
+    "V\u0103n h\u00f3a": "9",
+    "Xe c\u1ed9": "10",
+    "X\u00e3 h\u1ed9i": "11",
+    "\u0110\u1eddi s\u1ed1ng": "12"
+  },
+  "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": "4.48.0.dev0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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runs/Feb12_09-50-40_99fd4815564b/events.out.tfevents.1739353843.99fd4815564b.14026.10

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training_args.bin

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