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README.md

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+
+---
+tags:
+- autotrain
+- text-classification
+base_model: Luciano/bertimbau-base-finetuned-brazilian_court_decisions
+widget:
+- text: "I love AutoTrain"
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Text Classification
+
+## Validation Metrics
+loss: 0.9609171748161316
+
+f1_macro: 0.5546337781014297
+
+f1_micro: 0.6124121779859485
+
+f1_weighted: 0.603589451590145
+
+precision_macro: 0.6282088637908045
+
+precision_micro: 0.6124121779859485
+
+precision_weighted: 0.630997362777574
+
+recall_macro: 0.5298730645340564
+
+recall_micro: 0.6124121779859485
+
+recall_weighted: 0.6124121779859485
+
+accuracy: 0.6124121779859485

checkpoint-38430/config.json

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+  "_num_labels": 5,
+  "architectures": [
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+  "directionality": "bidi",
+  "hidden_act": "gelu",
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+  "id2label": {
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+    "1": "2 - INTIMA\u00c7\u00c3O INSTRU\u00c7\u00c3O",
+    "2": "3 - INTIMA\u00c7\u00c3O RECURSAL",
+    "3": "4 - INTIMA\u00c7\u00c3O CUMPRIMENTO DE SENTEN\u00c7A",
+    "4": "5 - INTIMA\u00c7\u00c3O TR\u00c2NSITO"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "5 - INTIMA\u00c7\u00c3O TR\u00c2NSITO": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
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+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "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": "4.46.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 29794
+}

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config.json

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+  "_name_or_path": "Luciano/bertimbau-base-finetuned-brazilian_court_decisions",
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+  "architectures": [
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+    "2": "3 - INTIMA\u00c7\u00c3O RECURSAL",
+    "3": "4 - INTIMA\u00c7\u00c3O CUMPRIMENTO DE SENTEN\u00c7A",
+    "4": "5 - INTIMA\u00c7\u00c3O TR\u00c2NSITO"
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+  "pooler_type": "first_token_transform",
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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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+    "model": "Luciano/bertimbau-base-finetuned-brazilian_court_decisions",
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+    "log": "tensorboard",
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+    "early_stopping_threshold": 0.01
+}