config.json

{
  "activation": "gelu",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_dropout": 0.1,
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "dim": 768,
  "dropout": 0.1,
  "hidden_act": "gelu",
  "hidden_dim": 3072,
  "hidden_dropout_prob": 0.1,
  "hidden_size": 512,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "n_heads": 12,
  "n_layers": 6,
  "num_attention_heads": 4,
  "num_hidden_layers": 4,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "qa_dropout": 0.1,
  "seq_classif_dropout": 0.2,
  "sinusoidal_pos_embds": false,
  "tie_weights_": true,
  "torch_dtype": "float32",
  "transformers_version": "4.32.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}