Training in progress, step 2750

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config.json

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+  "architectures": [
+    "BertForTokenClassification"
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+  "max_position_embeddings": 512,
+  "model_type": "bert",
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+  "num_hidden_layers": 12,
+  "output_past": true,
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+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.0.dev0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 29794
+}

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special_tokens_map.json

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

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+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "name_or_path": "neuralmind/bert-base-portuguese-cased",
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+  "tokenizer_class": "BertTokenizer",
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