config.json

{
  "_name_or_path": "camembert-base",
  "architectures": [
    "CamembertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 5,
  "classifier_dropout": null,
  "eos_token_id": 6,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Engineering",
    "1": "Needs",
    "2": "Market Impact",
    "3": "Value Chain",
    "4": "Uniqueness",
    "5": "Magic Team",
    "6": "Securing",
    "7": "Desirability",
    "8": "Legitimacy",
    "9": "Storytelling",
    "10": "R.O.I.",
    "11": "Financing"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Desirability": 7,
    "Engineering": 0,
    "Financing": 11,
    "Legitimacy": 8,
    "Magic Team": 5,
    "Market Impact": 2,
    "Needs": 1,
    "R.O.I.": 10,
    "Securing": 6,
    "Storytelling": 9,
    "Uniqueness": 4,
    "Value Chain": 3
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "camembert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.29.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 32005
}