config.json

{
  "_name_or_path": "models/fleonce/dnrti-t5-base",
  "activation_fn": "relu",
  "architectures": [
    "ITER"
  ],
  "d_ff": 3072,
  "d_model": 768,
  "dataset": "custom",
  "dropout": 0.3,
  "features": 2048,
  "max_length": 512,
  "max_nest_depth": 1,
  "model_type": "iter",
  "num_links": 0,
  "num_types": 13,
  "threshold": 0.5,
  "torch_dtype": "float32",
  "transformer_config": {
    "_name_or_path": "google/t5-efficient-base",
    "architectures": [
      "T5ForConditionalGeneration"
    ],
    "d_ff": 3072,
    "d_model": 768,
    "decoder_start_token_id": 0,
    "max_length": 512,
    "model_type": "t5",
    "n_positions": 512,
    "num_decoder_layers": 12,
    "num_heads": 12,
    "num_layers": 12,
    "task_specific_params": null,
    "torch_dtype": "float32"
  },
  "transformers_version": "4.41.2",
  "use_bias": false,
  "use_gate": true,
  "use_mlp": true,
  "use_scale": true
}