uploading bert model

config.json

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+{
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "True",
+    "1": "False"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "False": 1,
+    "True": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "type_vocab_size": 2,
+  "vocab_size": 28996
+}

dev_results.txt

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+eval_loss = 0.34805111282942247
+eval_accuracy = 0.8506758206393478
+eval_precision = 0.9081632653061225
+eval_recall = 0.8165137614678899
+eval_f1 = 0.8599033816425121

optimizer.pt

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+size 866551083

pytorch_model.bin

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+size 433295109

scheduler.pt

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+size 324

test_results.txt

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+eval_loss = 0.3680299799889326
+eval_accuracy = 0.8240304864380184
+eval_precision = 0.884395813510942
+eval_recall = 0.7742607246980425
+eval_f1 = 0.8256717743726405

training_args.bin

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