config.json

{
  "activation": "gelu",
  "architectures": [
    "AutoencoderForReconstruction"
  ],
  "auto_map": {
    "AutoConfig": "configuration_autoencoder.AutoencoderConfig",
    "AutoModel": "modeling_autoencoder.AutoencoderForReconstruction"
  },
  "autoencoder_type": "classic",
  "beta": 1.0,
  "bidirectional": true,
  "dropout_rate": 0.1,
  "flow_coupling_layers": 2,
  "hidden_dims": [
    64,
    32
  ],
  "input_dim": 20,
  "latent_dim": 16,
  "learn_inverse_preprocessing": true,
  "model_type": "autoencoder",
  "noise_factor": 0.1,
  "num_layers": 2,
  "preprocessing_hidden_dim": 32,
  "preprocessing_num_layers": 2,
  "preprocessing_type": "robust_scaler",
  "reconstruction_loss": "mse",
  "rnn_type": "lstm",
  "sequence_length": null,
  "teacher_forcing_ratio": 0.5,
  "tie_weights": false,
  "torch_dtype": "float32",
  "transformers_version": "4.55.2",
  "use_batch_norm": true,
  "use_learnable_preprocessing": true
}