Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "dbmdz/bert-base-turkish-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "K\u00fclt\u00fcr-Sanat",
+    "1": "Ekonomi",
+    "2": "Siyaset",
+    "3": "E\u011fitim",
+    "4": "D\u00fcnya",
+    "5": "Spor",
+    "6": "Teknoloji",
+    "7": "Magazin",
+    "8": "Sa\u011fl\u0131k",
+    "9": "G\u00fcndem"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "D\u00fcnya": 4,
+    "Ekonomi": 1,
+    "E\u011fitim": 3,
+    "G\u00fcndem": 9,
+    "K\u00fclt\u00fcr-Sanat": 0,
+    "Magazin": 7,
+    "Sa\u011fl\u0131k": 8,
+    "Siyaset": 2,
+    "Spor": 5,
+    "Teknoloji": 6
+  },
+  "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": "4.35.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

model.safetensors

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runs/Nov27_11-17-29_23f0c9e1ff23/events.out.tfevents.1701083857.23f0c9e1ff23.21222.0

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runs/Nov27_11-18-03_23f0c9e1ff23/events.out.tfevents.1701083886.23f0c9e1ff23.21222.1

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runs/Nov27_11-20-55_23f0c9e1ff23/events.out.tfevents.1701084059.23f0c9e1ff23.21222.2

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runs/Nov27_11-26-37_23f0c9e1ff23/events.out.tfevents.1701084426.23f0c9e1ff23.21222.3

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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
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+      "special": true
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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": false,
+  "mask_token": "[MASK]",
+  "max_len": 512,
+  "model_max_length": 512,
+  "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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