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config.json

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+{
+  "_name_or_path": "CAMeL-Lab/bert-base-arabic-camelbert-mix-ner",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "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": "B-Appeal_to_Authority",
+    "1": "I-Appeal_to_Authority",
+    "2": "B-Appeal_to_Fear-Prejudice",
+    "3": "I-Appeal_to_Fear-Prejudice",
+    "4": "B-Appeal_to_Hypocrisy",
+    "5": "I-Appeal_to_Hypocrisy",
+    "6": "B-Appeal_to_Popularity",
+    "7": "I-Appeal_to_Popularity",
+    "8": "B-Appeal_to_Time",
+    "9": "I-Appeal_to_Time",
+    "10": "B-Appeal_to_Values",
+    "11": "I-Appeal_to_Values",
+    "12": "B-Causal_Oversimplification",
+    "13": "I-Causal_Oversimplification",
+    "14": "B-Consequential_Oversimplification",
+    "15": "I-Consequential_Oversimplification",
+    "16": "B-Conversation_Killer",
+    "17": "I-Conversation_Killer",
+    "18": "B-Doubt",
+    "19": "I-Doubt",
+    "20": "B-Exaggeration-Minimisation",
+    "21": "I-Exaggeration-Minimisation",
+    "22": "B-False_Dilemma-No_Choice",
+    "23": "I-False_Dilemma-No_Choice",
+    "24": "B-Flag_Waving",
+    "25": "I-Flag_Waving",
+    "26": "B-Guilt_by_Association",
+    "27": "I-Guilt_by_Association",
+    "28": "B-Loaded_Language",
+    "29": "I-Loaded_Language",
+    "30": "B-Name_Calling-Labeling",
+    "31": "I-Name_Calling-Labeling",
+    "32": "B-Obfuscation-Vagueness-Confusion",
+    "33": "I-Obfuscation-Vagueness-Confusion",
+    "34": "B-Questioning_the_Reputation",
+    "35": "I-Questioning_the_Reputation",
+    "36": "B-Red_Herring",
+    "37": "I-Red_Herring",
+    "38": "B-Repetition",
+    "39": "I-Repetition",
+    "40": "B-Slogans",
+    "41": "I-Slogans",
+    "42": "B-Straw_Man",
+    "43": "I-Straw_Man",
+    "44": "B-Whataboutism",
+    "45": "I-Whataboutism",
+    "46": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "B-Appeal_to_Fear-Prejudice": 2,
+    "B-Appeal_to_Hypocrisy": 4,
+    "B-Appeal_to_Popularity": 6,
+    "B-Appeal_to_Time": 8,
+    "B-Appeal_to_Values": 10,
+    "B-Causal_Oversimplification": 12,
+    "B-Consequential_Oversimplification": 14,
+    "B-Conversation_Killer": 16,
+    "B-Doubt": 18,
+    "B-Exaggeration-Minimisation": 20,
+    "B-False_Dilemma-No_Choice": 22,
+    "B-Flag_Waving": 24,
+    "B-Guilt_by_Association": 26,
+    "B-Loaded_Language": 28,
+    "B-Name_Calling-Labeling": 30,
+    "B-Obfuscation-Vagueness-Confusion": 32,
+    "B-Questioning_the_Reputation": 34,
+    "B-Red_Herring": 36,
+    "B-Repetition": 38,
+    "B-Slogans": 40,
+    "B-Straw_Man": 42,
+    "B-Whataboutism": 44,
+    "I-Appeal_to_Authority": 1,
+    "I-Appeal_to_Fear-Prejudice": 3,
+    "I-Appeal_to_Hypocrisy": 5,
+    "I-Appeal_to_Popularity": 7,
+    "I-Appeal_to_Time": 9,
+    "I-Appeal_to_Values": 11,
+    "I-Causal_Oversimplification": 13,
+    "I-Consequential_Oversimplification": 15,
+    "I-Conversation_Killer": 17,
+    "I-Doubt": 19,
+    "I-Exaggeration-Minimisation": 21,
+    "I-False_Dilemma-No_Choice": 23,
+    "I-Flag_Waving": 25,
+    "I-Guilt_by_Association": 27,
+    "I-Loaded_Language": 29,
+    "I-Name_Calling-Labeling": 31,
+    "I-Obfuscation-Vagueness-Confusion": 33,
+    "I-Questioning_the_Reputation": 35,
+    "I-Red_Herring": 37,
+    "I-Repetition": 39,
+    "I-Slogans": 41,
+    "I-Straw_Man": 43,
+    "I-Whataboutism": 45,
+    "O": 46
+  },
+  "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": "4.39.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30000
+}

model.safetensors

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optimizer.pt

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rng_state.pth

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scheduler.pt

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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": {
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+      "content": "[PAD]",
+      "lstrip": false,
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+  "cls_token": "[CLS]",
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+  "do_lower_case": false,
+  "full_tokenizer_file": null,
+  "mask_token": "[MASK]",
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+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

trainer_state.json

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+  "is_hyper_param_search": false,
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+  "logging_steps": 500,
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+  "num_train_epochs": 10,
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+}

training_args.bin

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