| { | |
| "architectures": [ | |
| "CamembertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "\u0e01\u0e31\u0e19\u0e40\u0e2d\u0e07", | |
| "1": "\u0e01\u0e36\u0e48\u0e07\u0e17\u0e32\u0e07\u0e01\u0e32\u0e23", | |
| "2": "\u0e17\u0e32\u0e07\u0e01\u0e32\u0e23", | |
| "3": "\u0e1e\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23", | |
| "4": "\u0e44\u0e21\u0e48\u0e40\u0e1b\u0e47\u0e19\u0e17\u0e32\u0e07\u0e01\u0e32\u0e23" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "\u0e01\u0e31\u0e19\u0e40\u0e2d\u0e07": 0, | |
| "\u0e01\u0e36\u0e48\u0e07\u0e17\u0e32\u0e07\u0e01\u0e32\u0e23": 1, | |
| "\u0e17\u0e32\u0e07\u0e01\u0e32\u0e23": 2, | |
| "\u0e1e\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23": 3, | |
| "\u0e44\u0e21\u0e48\u0e40\u0e1b\u0e47\u0e19\u0e17\u0e32\u0e07\u0e01\u0e32\u0e23": 4 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "camembert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.52.4", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "vocab_size": 249262 | |
| } | |