config.json

{
  "BOTTLENECK_DIM": 1024,
  "CLASS_WEIGHTS": {
    "classification": [
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0
    ],
    "content": [
      0.8,
      1.1
    ]
  },
  "LOSS_WEIGHTS": {
    "classification": 1,
    "content": 1
  },
  "TASKS": {
    "classification": {
      "label_col": "type",
      "num_classes": 10
    },
    "content": {
      "label_col": "label",
      "num_classes": 2
    },
    "domain": {
      "label_col": "label_domain",
      "num_classes": 2
    }
  },
  "architectures": [
    "PhoBERTMultiTask"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "dtype": "float32",
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 258,
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "tokenizer_class": "PhobertTokenizer",
  "transformers_version": "4.57.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 64001
}