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config.json

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+{
+  "_name_or_path": "ai-forever/ruBert-base",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
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+  "id2label": {
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+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
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+    "LABEL_8": 8,
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+  "max_position_embeddings": 512,
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+  "num_hidden_layers": 12,
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+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 120138
+}

label_encoder.joblib

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special_tokens_map.json

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+  "mask_token": "[MASK]",
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+  "sep_token": "[SEP]",
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tokenizer_config.json

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wandb/run-20240701_152738-arqg7ou1/files/output.log

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+
+Successfully unpacked eval_pred: logits shape (9498, 20), labels shape (9498,)
+Successfully unpacked eval_pred: logits shape (9498, 20), labels shape (9498,)
+Successfully unpacked eval_pred: logits shape (9498, 20), labels shape (9498,)

wandb/run-20240701_152738-arqg7ou1/files/requirements.txt

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wandb/run-20240701_152738-arqg7ou1/files/wandb-summary.json

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wandb/run-20240701_152738-arqg7ou1/logs/debug.log

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