| { | |
| "_name_or_path": "squeezebert/squeezebert-uncased", | |
| "architectures": [ | |
| "SqueezeBertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "embedding_size": 768, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1", | |
| "2": "LABEL_2" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_groups": 4, | |
| "intermediate_size": 3072, | |
| "k_groups": 4, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1, | |
| "LABEL_2": 2 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "squeezebert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "output_groups": 4, | |
| "pad_token_id": 0, | |
| "post_attention_groups": 1, | |
| "problem_type": "single_label_classification", | |
| "q_groups": 4, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.33.3", | |
| "type_vocab_size": 2, | |
| "v_groups": 4, | |
| "vocab_size": 30528 | |
| } | |