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README.md

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+
+---
+tags:
+- autotrain
+- text-classification
+base_model: dbmdz/bert-base-german-europeana-uncased
+widget:
+- text: "I love AutoTrain"
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Text Classification
+
+## Validation Metrics
+loss: 6.590800762176514
+
+f1_macro: 0.008138962923889539
+
+f1_micro: 0.07204093712409065
+
+f1_weighted: 0.043525754606176574
+
+precision_macro: 0.0073795359485093765
+
+precision_micro: 0.07204093712409065
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+precision_weighted: 0.035906260666633036
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+recall_macro: 0.013094065506618197
+
+recall_micro: 0.07204093712409065
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+recall_weighted: 0.07204093712409065
+
+accuracy: 0.07204093712409065

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special_tokens_map.json

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tokenizer_config.json

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training_params.json

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+    "text_column": "autotrain_text",
+    "target_column": "autotrain_label",
+    "logging_steps": -1,
+    "project_name": "bert-base-german-europeana-uncased-dnb",
+    "auto_find_batch_size": false,
+    "mixed_precision": "fp16",
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+    "eval_strategy": "epoch",
+    "username": "jimfhahn",
+    "log": "tensorboard",
+    "early_stopping_patience": 5,
+    "early_stopping_threshold": 0.01
+}