{ "_name_or_path": "togethercomputer/m2-bert-80M-8k-retrieval", "alibi_starting_size": 8192, "architectures": [ "BertForSequenceClassification" ], "attention_probs_dropout_prob": 0.0, "bidirectional": true, "auto_map": { "AutoConfig": "configuration_bert.BertConfig", "AutoModel": "bert_layers.BertModel", "AutoModelForSequenceClassification": "bert_layers.BertForTextEncoding", }, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "hyena_emb_dim": 5, "hyena_filter_dropout": 0.2, "hyena_filter_order": 128, "hyena_lr_pos_emb": 1e-05, "hyena_training_additions": false, "hyena_w": 10, "hyena_w_mod": 1, "hyena_wd": 0.1, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-12, "long_conv_kernel_learning_rate": 0.001, "long_conv_l_max": 8192, "max_position_embeddings": 8192, "model_type": "m2_bert", "monarch_mlp_nblocks": 4, "num_attention_heads": 12, "num_hidden_layers": 12, "pad_token_id": 0, "pool_all": false, "position_embedding_type": "absolute", "residual_long_conv": true, "transformers_version": "4.28.1", "type_vocab_size": 2, "use_cache": true, "use_glu_mlp": true, "use_monarch_mlp": true, "use_positional_encodings": true, "vocab_size": 30528 }