add model files

config.json

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+{
+  "_name_or_path": "neuralmind/bert-base-portuguese-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "directionality": "bidi",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "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",
+  "transformers_version": "4.6.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 29794
+}

eval_results.txt

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+auprc = 0.9276338429515153
+auroc = 0.9720698903914792
+eval_loss = 0.37835496536431357
+f1 = 0.8573898012100258
+fn = 50
+fp = 115
+mcc = 0.806064836035188
+precision = 0.8117839607201309
+recall = 0.9084249084249084
+tn = 1446
+tp = 496

model_args.json

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optimizer.pt

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pytorch_model.bin

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scheduler.pt

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special_tokens_map.json

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tokenizer_config.json

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training_args.bin

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