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{
"_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": "Desirability",
"1": "Engineering",
"2": "Financing",
"3": "Legitimacy",
"4": "Magic Team",
"5": "Market Impact",
"6": "Needs",
"7": "R.O.I.",
"8": "Securing",
"9": "Storytelling",
"10": "Uniqueness",
"11": "Value Chain"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Desirability": 0,
"Engineering": 1,
"Financing": 2,
"Legitimacy": 3,
"Magic Team": 4,
"Market Impact": 5,
"Needs": 6,
"R.O.I.": 7,
"Securing": 8,
"Storytelling": 9,
"Uniqueness": 10,
"Value Chain": 11
},
"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
}