model_opt.json

{
  "embedding_size": 768,
  "n_classes": 3,
  "model_name": "cnn_model",
  "optimizer": "Adam",
  "loss": "categorical_crossentropy",
  "learning_rate": 0.01,
  "learning_rate_decay": 0.1,
  "last_layer_activation": "softmax",
  "restore_lr": false,
  "classes": null,
  "text_size": null,
  "padding": "pre",
  "in": [
    "word_emb"
  ],
  "in_y": [
    "y_onehot"
  ],
  "out": [
    "y_pred_probas"
  ],
  "main": true,
  "save_path": "/content/drive/MyDrive/BERT/custom_bert/model",
  "load_path": "/content/drive/MyDrive/BERT/custom_bert/model",
  "kernel_sizes_cnn": [
    3,
    5,
    7
  ],
  "filters_cnn": 512,
  "coef_reg_cnn": 0.001,
  "coef_reg_den": 0.01,
  "dropout_rate": 0.5,
  "dense_size": 100,
  "mode": "infer",
  "final_learning_rate": 0.009999999776482582,
  "epochs_done": 0
}