Transformers
PyTorch
English
bridgetower
Inference Endpoints
File size: 1,396 Bytes
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{
    "downstream_fusion":false,
    "downstream_fusion_layers":1,
    "downstream_fusion_method":"elmo",
    "drop_rate":0.1,
    "freeze_RoBERTa":false,
    "freeze_ViT":false,
    "freeze_layer_count_roberta":false,
    "freeze_layer_count_vit":false,
    "head_hidden_scale":2,
    "hidden_size":768,
    "input_text_embed_size":768,
    "link_tower_shared":false,
    "link_tower_type":"add",
    "log_dir":"log_dir",
    "loss_names":{"contras": 0,
            "irtr": 0,
            "itm": 0,
            "mlm": 0,
            "mpp": 0,
            "nlvr2": 0,
            "snli": 0,
            "vcr": 0,
            "vcr_qar": 0,
            "vqa": 1},
    "max_text_len":50,
    "mlp_ratio":4,
    "model_type":"bridgetower",
    "num_heads":12,
    "num_layers":6,
    "num_nodes":1,
    "only_load_cross_modal_from_meter":false,
    "patch_size":16,
    "resolution_before":224,
    "stop_gradient":false,
    "size":288,
    "task_head_layers":2,
    "test_only":false,
    "tokenizer":"roberta-base",
    "unfreeze_RoBERTa_attention":false,
    "unfreeze_RoBERTa_embeddings":false,
    "unfreeze_RoBERTa_encoder":false,
    "unfreeze_RoBERTa_layernorm":false,
    "unfreeze_ViT_attention":false,
    "unfreeze_ViT_layernorm":false,
    "vit":"ViT-B/16",
    "vit_layernorm_init_from_vit":false,
    "vit_layernorm_shared":true,
    "vit_remove_last":false,
    "vocab_size":50265
}