| { | |
| "_name_or_path": "kssteven/ibert-roberta-base", | |
| "architectures": [ | |
| "IBertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "eos_token_id": 2, | |
| "finetuning_task": "mrpc", | |
| "force_dequant": "none", | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "hweff_logexp_softmax_cfg": null, | |
| "id2label": { | |
| "0": "not_equivalent", | |
| "1": "equivalent" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "equivalent": 1, | |
| "not_equivalent": 0 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "model_type": "ibert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "quant_mode": false, | |
| "quant_mode_actfunc": false, | |
| "tokenizer_class": "RobertaTokenizer", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.30.2", | |
| "type_vocab_size": 1, | |
| "vocab_size": 50265 | |
| } | |