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bert_aegis

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bert_aegis
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{
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "LABEL_0"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "LABEL_0": 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,
  "position_embedding_type": "absolute",
  "threshold_tau": 0.5254495143890381,
  "torch_dtype": "float32",
  "trained_epoch": 2,
  "training_cfg": {
    "batch_size": 16,
    "checkpoint": "bert_aegis.pt",
    "device": "cuda",
    "lr_backbone": 2e-06,
    "lr_head": 0.0001,
    "max_length": 512,
    "model_name": "bert-base-uncased",
    "num_epochs": 2,
    "num_workers": 4,
    "seed": 42,
    "val_split": 0.1,
    "weight_decay": 0.01
  },
  "transformers_version": "4.52.4",
  "type_vocab_size": 2,
  "use_cache": true,
  "val_metrics": {
    "accuracy": 0.8198198198198198,
    "f1": 0.856353591160221,
    "fn": 213,
    "fp": 47,
    "precision": 0.9428223844282239,
    "recall": 0.7844129554655871,
    "roc_auc": 0.9164612715220003,
    "tn": 408,
    "tp": 775
  },
  "vocab_size": 30522
}