config.json

{
  "_name_or_path": "microsoft/mpnet-base",
  "architectures": [
    "MPNetForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "capacity expansion",
    "1": "market expansion",
    "2": "marketing",
    "3": "merger & acquisition and finance investments",
    "4": "outsourcing and alliance",
    "5": "product introductions and improvements"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "capacity expansion": 0,
    "market expansion": 1,
    "marketing": 2,
    "merger & acquisition and finance investments": 3,
    "outsourcing and alliance": 4,
    "product introductions and improvements": 5
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "mpnet",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "problem_type": "multi_label_classification",
  "relative_attention_num_buckets": 32,
  "torch_dtype": "float32",
  "transformers_version": "4.41.0",
  "vocab_size": 30527
}