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README.md

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+
+---
+tags:
+- autotrain
+- text-classification
+base_model: google-bert/bert-base-multilingual-cased
+widget:
+- text: "I love AutoTrain"
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Text Classification
+
+## Validation Metrics
+loss: 6.522752285003662
+
+f1_macro: 0.009065770998272544
+
+f1_micro: 0.07129627861684455
+
+f1_weighted: 0.043941274155093045
+
+precision_macro: 0.008029350516190904
+
+precision_micro: 0.07129627861684455
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+precision_weighted: 0.03595543350538865
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+recall_macro: 0.014735118583896051
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+recall_micro: 0.07129627861684455
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+recall_weighted: 0.07129627861684455
+
+accuracy: 0.07129627861684455

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special_tokens_map.json

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tokenizer_config.json

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+  "tokenize_chinese_chars": true,
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training_params.json

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+    "data_path": "base-multilingual-gnd-bert/autotrain-data",
+    "model": "google-bert/bert-base-multilingual-cased",
+    "lr": 3e-05,
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+    "project_name": "base-multilingual-gnd-bert",
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+    "mixed_precision": "fp16",
+    "save_total_limit": 1,
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+    "eval_strategy": "epoch",
+    "username": "jimfhahn",
+    "log": "tensorboard",
+    "early_stopping_patience": 5,
+    "early_stopping_threshold": 0.01
+}