Training in progress, step 500

.gitignore

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config.json

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+  "architectures": [
+    "BertForSequenceClassification"
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+  "hidden_size": 768,
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+    "1": "tdk-relevan",
+    "2": "negatif",
+    "3": "positif"
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+  "max_position_embeddings": 512,
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+  "output_past": true,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
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+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.27.4",
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+  "use_cache": true,
+  "vocab_size": 50000
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special_tokens_map.json

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+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
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tokenizer_config.json

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+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
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+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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