{ "_name_or_path": "notdiamond/notdiamond-0001", "adaptive": true, "architectures": [ "LSGBertForSequenceClassification" ], "attention_probs_dropout_prob": 0.1, "base_model_prefix": "lsg", "block_size": 128, "classifier_dropout": null, "directionality": "bidi", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": { "0": "gpt-3.5-turbo", "1": "gpt-4" }, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "gpt-3.5-turbo": 0, "gpt-4": 1 }, "layer_norm_eps": 1e-12, "lsh_num_pre_rounds": 1, "mask_first_token": false, "max_position_embeddings": 4096, "model_type": "bert", "num_attention_heads": 12, "num_global_tokens": 1, "num_hidden_layers": 12, "pad_token_id": 0, "pool_with_global": true, "pooler_fc_size": 768, "pooler_num_attention_heads": 12, "pooler_num_fc_layers": 3, "pooler_size_per_head": 128, "pooler_type": "first_token_transform", "position_embedding_type": "absolute", "pretraining_tp": 1, "problem_type": "single_label_classification", "sparse_block_size": 128, "sparsity_factor": 2, "sparsity_type": "norm", "torch_dtype": "float32", "transformers_version": "4.38.2", "type_vocab_size": 2, "use_cache": true, "vocab_size": 119547 }