Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "dbmdz/bert-base-turkish-cased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "INTJ",
+    "1": "PART",
+    "2": "VERB",
+    "3": "ADP",
+    "4": "ADJ",
+    "5": "X",
+    "6": "PUNCT",
+    "7": "NOUN",
+    "8": "NUM",
+    "9": "ADV",
+    "10": "CCONJ",
+    "11": "SCONJ",
+    "12": "DET",
+    "13": "AUX",
+    "14": "PRON",
+    "15": "PROPN"
+  },
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+  "intermediate_size": 3072,
+  "label2id": {
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+    "ADP": 3,
+    "ADV": 9,
+    "AUX": 13,
+    "CCONJ": 10,
+    "DET": 12,
+    "INTJ": 0,
+    "NOUN": 7,
+    "NUM": 8,
+    "PART": 1,
+    "PRON": 14,
+    "PROPN": 15,
+    "PUNCT": 6,
+    "SCONJ": 11,
+    "VERB": 2,
+    "X": 5
+  },
+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

pytorch_model.bin

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runs/Feb24_05-30-44_0e4a5fe5f792/1677216652.0478692/events.out.tfevents.1677216652.0e4a5fe5f792.1692.3

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runs/Feb24_05-30-44_0e4a5fe5f792/events.out.tfevents.1677216652.0e4a5fe5f792.1692.2

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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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+{
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "max_len": 512,
+  "model_max_length": 512,
+  "name_or_path": "dbmdz/bert-base-turkish-cased",
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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