| { | |
| "_name_or_path": "./results/mnli-xnli/ernie-m-base_pytorch-20220211/best-ernie-m-base_pytorch-20220211", | |
| "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": 768, | |
| "id2label": { | |
| "0": "entailment", | |
| "1": "neutral", | |
| "2": "contradiction" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "contradiction": 2, | |
| "entailment": 0, | |
| "neutral": 1 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "model_type": "ernie_m", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 1, | |
| "paddlenlp_version": null, | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.27.0.dev0", | |
| "type_vocab_size": 16, | |
| "vocab_size": 250002 | |
| } | |