{ | |
"_name_or_path": "MoritzLaurer/ernie-m-large-mnli-xnli", | |
"act_dropout": 0.0, | |
"architectures": [ | |
"ErnieMForSequenceClassification" | |
], | |
"attention_probs_dropout_prob": 0.1, | |
"classifier_dropout": null, | |
"dtype": "float32", | |
"hidden_act": "gelu", | |
"hidden_dropout_prob": 0.1, | |
"hidden_size": 1024, | |
"id2label": { | |
"0": "entailment", | |
"1": "neutral", | |
"2": "contradiction" | |
}, | |
"initializer_range": 0.02, | |
"intermediate_size": 4096, | |
"label2id": { | |
"contradiction": 2, | |
"entailment": 0, | |
"neutral": 1 | |
}, | |
"layer_norm_eps": 1e-05, | |
"max_position_embeddings": 514, | |
"model_type": "ernie_m", | |
"num_attention_heads": 16, | |
"num_hidden_layers": 24, | |
"pad_token_id": 1, | |
"paddlenlp_version": null, | |
"problem_type": "single_label_classification", | |
"transformers_version": "4.38.2", | |
"type_vocab_size": 16, | |
"vocab_size": 250002 | |
} | |